Full Stack Web Development

Designed and developed map-based web application integrating a geospatial construction planner and a Manufacturing Execution System (MES) for Terafab solar construction. Implemented Django and PostGIS backend with a JavaScript (Bootstrap and OpenLayers) frontend, while enabling real-time updates via websockets. Designed and simulated Terafab factory operations using SimPy, facilitating end-to-end testing of MES. Developed and executed unit tests, integration tests, and manual regression tests to ensure software reliability and performance. Led and supported multiple live edge deployments of the Terafab system, including diagnosing issues, implementing hotfixes, and training new and existing users.

Data Science

Developed and deployed a hierarchical multi-label Random Forest classifier using Scikit-Learn, enabling solar installation analytics on-site with telemetry data. Designed and implemented real-time dashboards using Grafana and InfluxDB, optimizing time-series data storage and retrieval. Developed a first-of-its-kind GIS-based construction tracking software, enabling tracking of vehicle movements, labor work hours, and solar plant construction progress.

Created databases for cities by utilizing public transit operational data, telematics and contextual data, including weather, trip distance, elevation, and more available on web. Conducted Spatio-temporal data analysis of schedules, routes, trips, passengers to compute fleet parameters. Built models to quantify key performance indicators (KPI’s) in accordance to Public Transport companies, such as total cost of ownership, carbon emissions, health impacts, and powertrain performance. Developed software tool, including database, business logic, application, and dashboard to predict and compare diesel and electric bus performance based on user inputs and model estimates, as well as identify best bus routes for electrification. Coordinated multiple tasks from initiation to completion in a deadline-driven environment.

●Established Cloud based platform for Electric Bus Fleet Planning to ingest, analyze and visualize best bus routes forelectrification for typical public transit companies.

Advisor - Prof. Scott Moura

Coached two engineering design teams composed of underrepresented, 1st generation, economically disadvantaged students to solve societal problems in smart water and infrastructure under pre-engineering program (PREP) .

Taught design thinking based on the SPRINT design process for building hardware/software applications.

Taught Calculus (MATH 1B ) to 50 undergraduate freshmen.

Curated course content for weekly discussions, graded quizzes/examinations.

As a research assistant, I was heavily involved in simulating GIS based urban heat island (UHI) effect in to-be-built smart city from satellite imagery and building footprint data. I was capable of creating models to predict residential cooling energy demand due to UHI-induced warming effects in high density neighborhoods.

I was skillful at calculating rooftop solar potential of buildings and optimizing peer to peer energy distribution in urban networks.

My contribution for this role included: