Pranav Arora

About

Senior software developer building data-driven products for energy systems, AWS and GIS, and simulation workflows.

Senior Software Developer

I’m Pranav Arora, a Senior Software Developer focused on building scalable, data-driven, and technically meaningful software systems.

Location St. John’s, NL, Canada

Site pranavarora.dev

Education MS Computer Science, Memorial University of Newfoundland

Role Senior Software Developer, Angler Solutions

Email [email protected]

Focus MESO, cloud & GIS, simulation

Background

I am a software engineer with a strong foundation in full-stack development, cloud systems, and applied problem solving. My work has evolved from general web and application development into platforms that combine software engineering with energy systems, geospatial workflows, and decision-support tools.

I work as a Senior Software Developer at Angler Solutions on MESO (Model for Energy Systems Optimization), a platform for planning and optimizing hybrid energy systems. Scope spans backend services, frontend capabilities, GIS integrations, AWS deployments with Terraform, serverless systems, simulation workflows, and technical planning across software, modelling, and leadership teams.

What excites me is solving technical problems that connect software with real-world impact: systems that are scalable, well-structured, and clear enough for decision-makers and technical users.

Professional summary

Senior Software Developer with experience in cloud-based platforms, full-stack applications, and technically complex products. Currently focused on simulation workflows, GIS-enabled analysis, and AWS architecture on MESO. Strong background in backend systems, frontend development, cloud modernization, and technical problem solving.

What I do

I build energy systems software from design through release: product engineering, cloud architecture, GIS, and delivery discipline.

Workstreams

Four areas I keep in balance:

Product & platform engineering Full-stack delivery for data-heavy products: APIs, workflows, and reliable interfaces for technical users.
Cloud & operational discipline AWS-native design, deployment strategy, and infrastructure-as-code so environments stay repeatable and reviewable.
Geospatial & decision support GIS-backed features and constraint-aware analysis that turn raw data into something people can act on in the product.
Technical governance Architecture decisions, documentation, and release discipline so the platform stays evolvable and auditable.

How I work

I stay with the full arc from intent through architecture, implementation, and stakeholder communication, so engineers, modellers, and leadership hear one coherent story instead of reconciling handoffs.

Current role

Senior Software Developer, Angler Solutions · St. John’s, NL. These are the product and platform priorities I am driving on MESO today.

MESO at Angler Solutions

MESO (Model for Energy Systems Optimization) is Angler’s platform for techno-economic analysis and optimization of hybrid energy systems. I contribute across engineering and architecture: how services and workflows are shaped, how simulation is exposed in the product, and how the platform should evolve.

What I’m driving on MESO lately:

Platform direction: clearer paths for a scalable MESO architecture, not one-off fixes
Simulation in the product: workflows and APIs that make complex models usable for real users
GIS and site intelligence: land suitability, constraints, and map-based workflows tied to planning
Reporting and scenarios: technical direction for comparison, outputs, and interpretable results
Designed and proposed a cost modeling and pricing framework for simulation workloads, enabling better cost visibility, optimization, and future monetization strategies
Delivery hygiene: branching, QA, releases, and documentation so the team can ship with confidence

What sets me apart

I bring together capabilities that often sit in separate people. Fewer handoffs, faster alignment from idea to implementation, and one person who can follow a thread from architecture through delivery and stakeholder communication.

Engineering breadth Hands-on depth across frontend, backend, cloud, and system design, not only one layer of the stack.
Domain fit Energy systems, modelling workflows, GIS, and applied analytics, so technical requirements turn into software that matches how the domain actually works.
Architecture judgment Clear trade-offs among scalability, cost, maintainability, and speed, documented so teams can build on decisions instead of re-litigating them.
Product-oriented execution Usability, workflows, and release discipline. Not just “it runs,” but “people can rely on it day to day.”
Communication Direct, precise dialogue with engineers, modellers, and non-technical stakeholders—briefings, docs, and demos that match the audience.

I am especially effective where a product needs someone who can hold the technical detail, shape a coherent solution, and help the platform grow into something more mature and easier to evolve.

Impact & work

Highlights from recent product and platform work on MESO: cloud modernization, GIS, simulation, reporting, platform economics, and delivery discipline.

High impactCost Model & Pricing Framework

Designed a structured cost modeling approach for MESO to estimate, track, and scale the economics of individual simulation workloads in the cloud.

This involved:

Mapping AWS resource usage (compute, storage, API, data transfer) to simulation-level cost attribution
Designing a tagging strategy to break down costs by model type, environment, and workload
Proposing a per-simulation cost calculation framework using runtime metrics and cloud cost data
Developing a credit-based pricing model to support future commercialization of the platform
Creating a structured approach for benchmarking, anomaly detection, and cost validation

This work bridges the gap between engineering and business by enabling transparent, scalable, and monetizable platform usage.

Cloud and platform modernization

Helped steer MESO from a heavier container-centric posture toward a more serverless, AWS-native shape. The platform scales and changes without environment drift; IaC and peer review are now part of how we ship.

GIS and spatial intelligence

Shipped product depth around maps, land suitability, and spatial constraints so planning conversations reference the same geography the models use, not a disconnected spreadsheet.

Simulation and product workflows

Tightened how complex simulations surface in the app with clearer steps, fewer sharp edges for users, and a structure the team could extend without rewriting the same glue each time.

Reporting and scenario analysis

Pushed reporting and scenario comparison toward outputs people can brief from: less raw dump, more interpretable comparison when models disagree.

Software & system design for IP

Turned novel technical approaches into architecture and workflow narratives counsel could work with, so filings reflected how the system actually behaves rather than a slide-deck sketch.

Funding & partner ecosystems

Aligned roadmaps and technical storylines with grants and partner programs (AWS, partners, regional collaborators) so funding asks matched what engineering could commit to.

Technical process and delivery

Raised the bar on how we branch, test, release, and document. Fewer surprises in production and easier onboarding for anyone picking up a feature cold.

Projects

GitHub

High impactMERLIN — Probabilistic Reservoir Forecasting

Built and deployed MERLIN (MESO Ensemble Reservoir Level Intelligence Network) end to end—a 14-day probabilistic lake-level forecasting system for a hydroelectric utility in Newfoundland. It replaced a static spreadsheet heuristic with a weather-driven, dispatch-conditioned deep-learning forecast that answers the real operational question: given a planned generation schedule over the next two weeks, what's the P10/P50/P90 trajectory of the reservoir level?

This involved:

Designed an LSTM with quantile-regression heads (pinball loss at the 10th/50th/90th percentiles) and a dispatch-conditioned decoder—predicting change in level rather than absolute level to break an autocorrelation shortcut and sharpen skill
Engineered a pipeline fusing a 31-member NOAA weather ensemble, ERA5-Land reanalysis, real-time gauge telemetry, and historical streamflow into one training and inference flow
Established persistence and climatology baselines up front; ~28% RMSE improvement over persistence on held-out data, with P10–P90 coverage near nominal—all metrics strictly out-of-sample
Productionized on AWS: scheduled ECS Fargate tasks via EventBridge, forecast artifacts to S3, failure alerting via SNS, secrets in Secrets Manager, infrastructure as code with Terraform
Shipped a lightweight API and a Vue/ECharts frontend for stakeholder-facing forecast visualization

Life Radius — personal project

Life Radius: plan and map view with candidate home, POIs, traffic overlay, and St. John’s map

A live web app to plan candidate homes on a map and compare Life Scores—set home, work, and school, explore routes, and toggle road-traffic and transit overlays to reason about day-to-day geography before you move.

liferadius.pranavarora.dev

MESO platform engineering

Hybrid energy modelling, simulation surfaces, and platform evolution. Most of my public GitHub activity aligns with production work.

GIS-driven energy analysis

Maps, constraints, and site intelligence. Geospatial UI and analysis threads reflected in repositories and notes.

AWS & infrastructure

Serverless and infrastructure-as-code work: AWS, Terraform, and deployment patterns documented in code and notes.

Scenario comparison & reporting

Outputs, comparisons, and communication of model results. Themes tied to reporting UX and analytics.

Secure research workflow integration

Secure backend workflows using token-based authentication to support anonymous and cross-platform research interactions.

Project notes

Expertise

Where I go deepest: full-stack engineering, cloud delivery, geospatial products, platform economics, and product leadership.

Software engineering

Full-stack application development
Frontend and backend architecture
API design and integration
Scalable system design
Feature planning and technical implementation

Cloud & DevOps

AWS architecture and serverless patterns
Core services: Lambda, API Gateway, S3, DynamoDB, RDS
Deployment strategy, environments, and operational discipline
Cost and reliability trade-offs in cloud design

Geospatial & technical platforms

GIS-enabled software features
Spatial analysis workflows
Map-based product interfaces
Constraint-based land analysis
Data-driven technical decision support

Product & delivery

Technical planning
Agile collaboration
Release/change management thinking
Cross-functional communication
Documentation and technical storytelling

IP, funding & partnerships

Software and system design in support of patenting and technical disclosure
Funding-oriented narratives, scoping, and milestone thinking
AWS and partner program alignment (architecture, modernization, ecosystem)
Regional collaboration for delivery and programs

Cost modeling & platform economics

Cloud cost analysis and optimization (AWS)
Simulation-level cost attribution
Tagging strategies for cost breakdown
Credit-based pricing model design
Cost benchmarking and anomaly detection
Aligning engineering systems with business models

Technical skills

Technologies and tools I use regularly in production work. Recent coding activity (WakaTime).

Languages & frameworks

JavaScript
TypeScript
Python
Java
Vue / Nuxt
Angular
React
FastAPI
Flask
Spring Boot
Node.js

Cloud & infrastructure

AWS
Terraform
Lambda
API Gateway
S3
DynamoDB
RDS
ECS
Elastic Beanstalk
CloudFront
IAM
CloudWatch
WAF

Data & backend

SQL
PostgreSQL
Oracle
NoSQL
REST APIs
Auth
Data workflows

GIS & visualization

Geospatial workflows
Map UIs
Spatial constraints
Land analysis
ECharts
Data-driven UI

Engineering practices

CI/CD
GitHub Actions
QA
Releases
Architecture docs
Agile
Scrum
Kanban

Applied areas

Energy software
Simulation
Scenarios
Reporting
Cloud migration
Optimization systems

Engineering beyond code

Beyond implementation: connecting engineering with product strategy and decision-ready technical design, including cost modeling and platform economics where product meets business model.

Where engineering meets product & business

In addition to software development, I work on areas that connect engineering with product and business impact:

Designing cost models and pricing strategies for cloud platforms
Structuring systems for scalability, maintainability, and commercialization
Translating technical workflows into product-ready features
Supporting decision-making through clear technical and system design

Experience

Employment history, education, and related background.

Summary

Senior Software Developer with experience building cloud-based software platforms, full-stack applications, and technically complex products. Currently focused on simulation workflows, GIS-enabled analysis, and AWS architecture through work on MESO at Angler Solutions.

St. John’s, NL, Canada
[email protected]

Education/Internship

Master of Science, Computer Science

2022 - 2024

Memorial University of Newfoundland, Canada

Courses included:

Applied Algorithms
AI/ML
Data Analysis/Visualization
Software Engineering
Computer Vision

Network Engineer Intern

2018

Cisco Systems, Bangalore

Contributed to the Cisco Contact Center Operations Suite (CCOps) project, aiding Cisco Engineers in troubleshooting Contact Centre issues through automated log collection and problem resolution using the Known Error Database Engine.

Summer Intern

2017

Bharat Sanchar Nigam Limited, Jhansi, U.P., India

Understood about how mobile and landline communication works and how a call is setup.

Technical Head

2017 - 2018

The Electronics Club, SRMIST, Chennai

Led the Electronics Club team and conducted recruitment for new candidates.
Taught Arduino and Networking to the participants of The Electronics Club.
Conducted Hands on workshop on Arduino.

B.Tech. - Electronics & Communications Engineering

2014 - 2018

SRM Institute of Science and Technology, Chennai

Senior High School

2012 - 2014

Holy Cross Higher Secondary School, Datia, M.P., India

High School

2012

Cathedral College, Jhansi, U.P., India

Professional experience

Senior Software Developer

Nov 2024 – Present

Angler Solutions, St. John’s, NL, Canada

Contributing to MESO, a platform for energy systems optimization and techno-economic analysis
Working across software architecture, cloud systems, GIS-enabled features, and simulation platform workflows
Supporting AWS-based modernization and serverless transformation efforts, including Terraform-based deployment and infrastructure-as-code practices
Collaborating with AWS, AWS partners, and local partners on programs, architecture alignment, and regional opportunities
Contributing to software and system design and documentation that support patenting and technical disclosure
Supporting funding-related technical inputs, scoping, and partner-ready descriptions
Helping improve product workflows for reporting, comparison, and technical decision support
Collaborating across developers, modelers, stakeholders, and leadership to shape platform direction

Teaching Assistant

Jan 2024 – Apr 2024

Memorial University of Newfoundland, St. John’s, NL

Web development course support

Full-Stack Developer

May 2023 – Dec 2023

Canadian Blood Services, St. John’s, NL

Built and improved internal applications using Angular, Spring Boot, SQL, and Jenkins
Contributed to component library development, UI architecture, and backend integration
Solved implementation and maintainability issues through better frontend styling patterns and debugging

Research Platform Programmer (part-time)

2022 – 2023

Memorial University of Newfoundland, St. John’s, NL

Built secure integration workflows between systems using Express.js and JWT-based authentication
Supported research platform development with practical backend engineering work

Earlier experience

Earlier roles included web development, software engineering, training, and technical mentoring, which built the broad foundation that now supports platform engineering, cloud systems, and specialized technical software.

Writing & technical thinking

Writing on software engineering, architecture, cloud and GIS, and practical workflows—tools, patterns, and lessons from building technical products.

Dev.to

Testimonials

Recommendations

Pranav walked me through the process and made me feel comfortable creating something that would portray my business and me in a positive light. Working with Pranav was an excellent experience throughout the entire project. Most importantly, Pranav is communicative, accessible, proficient and answers all questions patiently. Pranav's technical and professional services were a huge benefit for my business. I would highly recommend his services.

Madhu Dev

Founder of Yoga With Madhu

Pranav has been a significant member of our development team at Canadian Blood Services for the past 6 months. He quickly got up to speed on our core technologies (Angular, Java, Spring Boot, Jenkins, SQL) and has been a significant contributor to a number of internal applications. Pranav is kind, dependable, open to feedback, and is always willing to learn and improve. I would definitely recommend Pranav for any software development roles.

Sam Russell

Software Developer, Canadian Blood Services

Pranav helped me in understanding about MS-Office. He explained various advanced MS-Office tools such as Mail Merge in MS-Word, Macros in MS-Excel and Report and Presentation Designing in MS-PowerPoint. He guided me doing practicals and helped me to explore various other MS-Office tools and taught me in such a way that I am ready to learn future technologies and concepts as well.

Jaspreet Singh Bedi

Employee, Indian Railways

Pranav has always been passionate about learning and growing by taking up new projects and initiatives. His sound technical knowledge along with his collaborative attitude makes him a great individual to work with.

Anuska Chatterjee

ISB Co'22

Having known Pranav for more than 8 years, I have found Pranav always full of passion, energy, and excitement to learn new technologies and take on challenges head on. He is a focussed, enthusiastic, optimist, who believes in working hard to achieve his goals. Once he sets his mind on to something, he has the grit to carry it on until successful. A great team player, people’s person, always ready to resolve issues, help students by ensuring they learn the concepts.

Shakti Singh

IIM Ranchi (PGPM 21-23)

Pranav is one of the best CS graduates I have had the pleasure to work with. He is very talented, works hard, and has a very agreeable personality. He will be a strong asset at any organization he work with. Thus, I unreservedly recommend him and wish him a lot of success in his career!

Oscar Meruvia-Pastor

Professor of Computer and Natural Sciences at Memorial University of Newfoundland

I was Pranav's co-supervisor for his Master's project and also his instructor for a machine learning course at Memorial University of Newfoundland. Pranav excelled in the course and did a fantastic job for his Master's project. Pranav demonstrated to be able to grasp new concepts and acquire new skills quickly, and to have outstanding troubleshooting skills. Pranav completed all his tasks timely and thoroughly. Additionally, his enthusiasm is contagious and is a delightful person to work with.

Lourdes Peña Castillo

Professor, Memorial University of Newfoundland

It was such a pleasure to have Pranav as the counter part for couple of the initiatives & projects we took during college! He was always accommodating, kind, and motivated. And I can surely vouch for his high-quality work. His people managing skills are also commendable - excellent communication skills and is willingness to help when needed makes it even more easier!

Aishwarya

PMR Consultant, Trinity

Pranav has been working with my research group since November 2022 as a research platform programmer. Pranav has been a key member of the research team linking our various data collection platforms together in order to bring a seamless data collection experience to our study participants. His work is critical for reducing participant burden when completing our online surveys and helping us link data across platforms anonymously. I would highly recommend Pranav for any programmer position in academic research.

Scott Harding

Associate Professor - Nutritional Biochemistry, Memorial University of Newfoundland

Pranav is very enthusiastic and passionate to learn new things. He is hardworking and always keen to take up any responsibilities that comes to his way. He is very good in both his technical and managerial skills and has a deep interest in imparting knowledge to others. He is very helpful and would be a great asset for any organisation for which he would be working for.

Anirban Paul

HR at Zycus

Pranav designed and developed a fully responsive dynamic website for our School. I would like to thank him for creating an interactive, informative and beautiful website. The website contains information about our Institute, the Admission Process, Results and dynamic features like Database Querying for Transfer Certificates. I would like to wish all the best to MyKarma Consulting Services for their upcoming projects.

Mr. Rani Dutt

Principal, Sri Sathya Sai School, Shimla

I have interned with Pranav in the same team at Cisco, I could vouch for the dedication he has and the values he brings to the table. He is a very determined, talented and passionate about the technology.

Chhama Sahu

Senior Technical Consultant, Cisco

Book a session

Schedule a short introductory call to discuss career guidance, cloud and platform topics, delivery architecture, or related technical questions. Use the calendar below, or email first if you prefer to align before booking.

Good topics for an intro

Career guidance for software engineering and cloud roles
Cloud architecture, AWS, Terraform/IaC deployment strategy, and serverless direction
Software delivery, scoping, and technical planning
Patent-oriented system design, funding narratives, or partner and AWS ecosystem alignment (intro scope)

This is an introductory meeting — 15 minutes, subject to availability. It’s a chance to align on goals and see if there’s a fit; deeper work or a formal engagement can be discussed as a follow-up.

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Let’s connect

Open to discussions on cloud architecture, energy and geospatial products, and technical collaboration—including IP-aware system design, funding, and partner ecosystems where relevant.

Prefer email or a social profile? Use the cards below. For a longer note or inquiry, use the form — I read every message.

Email [email protected]

LinkedIn in/pranavarora1895

GitHub pranavarora1895