# Muhammad Hassam Masood

> SWE @ Commure

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/muhammadhassammasood

## Work Experience
### Software Engineer @ Commure
Jan 2025 – Present | Mountain View, CA
Built Commure's Referral Management/Intake solution (0 to 1)

### Software Engineer @ Freelance (Self employed)
Jan 2023 – Jan 2025
• Collaborated with a colleague to build and deploy dynamic, high-performance websites for multiple clients using
NextJS and Material-UI.
• Optimized web performance by implementing lazy loading, server-side rendering (SSR), and code splitting, reducing
load times of existing client websites by 40% on average.
• Worked directly with clients to gather requirements, deliver progress updates, and provide post-deployment
support, showcasing adaptability in a fast-paced, client-focused environment.

### Software Engineer @ Alectra GRE&T Centre
Jan 2022 – Jan 2023
• Lead the development of a 0-to-1 Satellite Vegetation Management product, containerizing and deploying computer vision models enabling real-time vegetation risk heatmaps for Alectra’s operating territory using geospatial data.
• Designed and deployed a responsive front-end dashboard providing an intuitive interface for visualizing geo-spatial vegetation risk data.
• Designed and implemented demand forecasting models using Python (TensorFlow), FastAPI, and
PostgreSQL to power Alectra’s Digital Twin Project, optimizing electricity grid performance by 13%.
• Managed a project transitioning Alectra’s home office to net zero status, conducting facility assessments and data analysis to propose carbon emission reduction and offset strategies. Developed neural networks and regression models for time-series forecasting of hourly GHG emissions.
• Spearheaded the Digital Twin Project, developing deep learning and machine learning models for demand forecasting using Python (Scikit-Learn and TensorFlow) to create a digital replica of Alectra's electricity grid.

### Data Scientist @ Independent Electricity System Operator (IESO)
Jan 2019 – Jan 2020 | Toronto, Canada Area
• Developed Neural Networks in python using Scikit-Learn and TensorFlow/Keras to model embedded solar and wind electricity generation across Ontario.
• Ran and published Ontario’s 20 year electricity demand forecast for 50+ stakeholder groups, informing 3000MW of investment.
• Spearheaded a research project aimed at updating Short Term Demand Model parameters by conducting data analysis of weather stations on R.
• Built a scalable database system using PostgreSQL and Python for IESO’s LDC database.
• Acted as a liaison for monthly stakeholder meetings, effectively presenting insights and recommendations, strengthening client relationships.

### Coach @ Hatch Canada
Jan 2017 – Jan 2018 | Toronto, Canada Area
Taught programming and coding fundamentals to elementary school students in a fun and engaging manner.
Developed personalized lesson plans to suit various learning styles and skill levels, focusing on building problem-solving and computational thinking skills.
Guided students through hands-on projects, including creating interactive games and simple apps using languages like Python and JavaScript.
Fostered a collaborative and encouraging learning environment, helping students overcome challenges and gain confidence in their coding abilities.
Provided feedback and support to enhance students' understanding of programming concepts and logical reasoning.


## Education
### Chemical Engineering in Minor Bioengineering, Artificial Intelligence
University of Toronto


## Contact & Social
- LinkedIn: https://linkedin.com/in/hassammasood

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Source: https://flows.cv/muhammadhassammasood
JSON Resume: https://flows.cv/muhammadhassammasood/resume.json
Last updated: 2026-04-11