Zain Bharde
SoftwareEngineeratTheHomeDepot,passionateaboutbuildingsoftwareandtinkeringwithAItools.
I’m a Texas A&M University graduate with a B.S. in Data Engineering and a minor in Computer Science, based in Houston, TX.
Currently a Software Engineer at The Home Depot, building on the Sourcing Core team. My role focuses primarily on testing and maintaining features for the Sourcing Core API, which is responsible for aggregating valid sourcing paths for items in Home Depot orders.
I have the most fun experimenting with modern AI tools like Claude Code and Cursor, building projects with modern full-stack frameworks, and applying these skills to solve real user problems.
Outside of work, I enjoy playing basketball, traveling, and photography. I currently shoot with a Fujifilm X-T30 III and plan to capture more moments on future trips.
The Home Depot· Software Engineer
Jun 2026 — PresentThe Home Depot· Software EngineerAtlanta, GA - Remote
- —Sourcing Core team
Dematic· Software Development Engineer Intern
May 2024 — Jun 2026Dematic· Software Development Engineer InternGrand Rapids, MI - Remote
- —Increased autonomous robot storage selection accuracy by 25% by developing pallet storage logistics software for optimal container selection
- —Implemented 10+ Nocobase data interfaces enabling warehouse operators to manage device control system data, reducing manual data entry time across insert, update, and delete operations
The Home Depot· Software Engineer Intern
May 2025 — Jul 2025The Home Depot· Software Engineer InternAtlanta, GA - Remote
- —Improved P95 API response times by 90% and cut cloud costs by 50% by migrating core sourcing service from Java to Go
- —Optimized system performance by reducing memory usage 35x and CPU consumption by 40% on average across load levels
- —Delivered project 1 week early and presented final readout to 100+ associates including executives, managers, and engineers
Texas A&M University· Undergraduate Research Assistant
Jan 2024 — May 2024Texas A&M University· Undergraduate Research AssistantCollege Station, TX
- —Developed a Python script achieving 1.38% error in image distortion removal and contributed to a C++ visual odometry pipeline, improving feature tracking accuracy for autonomous navigation research
CLOUDSUFI· Data Engineering Intern
Aug 2023 — Jan 2024CLOUDSUFI· Data Engineering InternHouston, TX - Remote
- —Explored Google Cloud Platform data engineering services including Cloud Cortex Framework for SAP and Looker, earning certifications in Google Analytics, Looker, and machine learning
Aggie AI
Aggie AI is a RAG-based AI platform serving over 1,500 active users, providing natural language course recommendations for Texas A&M students based on course GPA distributions and professor reviews.
The Challenge
Texas A&M students need to weigh course GPA distributions and professor reviews scattered across different sources to make informed registration decisions, with no simple way to ask questions in plain language.
What I Built
A RAG-based AI system combined with web search and a PostgreSQL backend to answer natural language questions about courses and professors. Built a Python data pipeline with automated PDF extraction and web scraping to collect and process academic data and professor reviews, integrating results into an optimized PostgreSQL database schema.
The Impact
Serving over 1,500 active users.
Role: Full-Stack Development, Data Pipeline, RAG AI