Vraj Mistry

B.S. in Computer Science, Minor in Mathematics | GPA: 3.6/4.0

• Relevant coursework: Data Structures and Algorithms, Software Engineering, Object-Oriented Programming, Machine Learning, Database Management Systems, AI Engineering, Design and Analysis of Algorithms, Linear Algebra, Discrete Math, Applied Statistics, Calculus I-III

• Built SCE CLI, a cross-platform developer tool that orchestrates 3+ core repositories and 10+ Dockerized services across Linux, macOS, and Windows.
• Reduced new-contributor setup steps by 60% by consolidating multi-repository cloning, dependency installation, and container orchestration into one Python and Node.js CLI.
• Contributed to an internal CI/CD monitoring server using GitHub webhooks, Smee event forwarding, and Discord notifications to surface repository and branch activity in real time.
• Standardized local development workflows with Python 3.10, Docker, Git, and npm, improving reproducibility for service setup and environment debugging.

• Designed backend infrastructure for core platform features, including scalable database schemas and REST APIs that reduced downtime by 40%.
• Improved data retrieval speed by 50% through indexing, query tuning, and API response optimization.
• Partnered with frontend engineers to define API contracts and integration flows, reducing integration overhead by 25% and shortening feature delivery cycles.

• Developed and deployed a personalized recommendation engine that increased user engagement and average session duration by 35%.
• Reworked search ranking and optimization logic, reducing average search latency by 40% while improving result relevance.
• Supported production AI workflows for model retraining and monitoring across thousands of daily queries.

AI-powered climate due diligence platform that analyzes ESG reports, detects greenwashing risk, and generates remediation workflows.

• Built a full-stack ESG analysis workflow that parses reports, scores climate trust, and surfaces clause-level risks using Next.js, FastAPI, Gemini, and MongoDB Atlas.
• Designed a RAG assistant with LlamaParse to guide clause remediation and draft investor-ready outreach.
• Implemented an ElevenLabs voice analysis agent to transcribe pitches and flag inconsistencies against uploaded materials.
• Created a portfolio risk dashboard using OpenAQ environmental data and Mapbox geospatial visualization.

Award-winning pollution reporting platform recognized by the City of San Jose, SJSU, and ACM San Jose Charter.

• Built full-stack reporting features for photo uploads, geolocation tagging, interactive maps, and community pollution reports using React, FastAPI, and Firebase.
• Integrated Auth0 authentication and real-time database updates for dynamic report visualization, leaderboards, and badge tracking.
• Designed backend endpoints for report handling and image storage, improving data flow between the frontend and backend.