I am Apurva Sinha, a competitive, technically deep AI/ML Engineer with a production internship at IIT Bombay (FOSSEE) — shipping code to systems serving 10,000+ engineers (PR #578). Google Big Code 2026 Top 10% (15,000+ developers), selected for a Google SWE Internship interview (2027). ET GenAI Hackathon Semi-Finalist (65,734 participants). IEEE KodeKurrent Hackathon 2nd Runner-Up (50+ teams). A confident communicator with 6 months of community leadership experience — I ship fast, communicate clearly, and thrive under pressure.
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Google Big Code 2026 — Top 10% Ranked in the top 10% among 15,000+ developers; selected for a Google SWE Internship interview (2027). |
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FOSSEE, IIT Bombay — PR #578 Merged Shipped 10+ AI features into eSim core, IIT Bombay's open-source EDA platform serving 10,000+ engineers. |
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ET GenAI Hackathon — Semi-Finalist Placed among the top teams out of 65,734 registered developers. |
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IEEE KodeKurrent Hackathon 2026 — 2nd Runner-Up Placed 3rd overall out of 50+ competing teams. |
May 2026 – July 2026
- Contributing to FOSSEE eSim, IIT Bombay's open-source EDA platform serving 10,000+ engineers — integrating and validating 10+ AI features including RAG-based retrieval, voice input, schematic image analysis, and NgSpice netlist analysis across Windows and Ubuntu.
- Created a dedicated tests folder with systematic coverage across 7 chatbot modules, identifying and documenting 8+ security and functional vulnerabilities — directly improving platform reliability for tens of thousands of active users.
- Developed a standalone chatbot launcher and implemented automatic Ollama startup — reducing contributor onboarding friction to zero manual steps for isolated chatbot testing on Windows.
- Executed a PyQt5 → PyQt6 enum migration across the frontend layer, resolving 20+ unscoped
AttributeErrors; shipped all changes in Pull Request #578 — reviewed and merged into the main codebase.
Jan 2025 – Jun 2025
- Led weekly on-site village visits over 6 months, engaging with 100+ residents across multiple community segments — conducting needs assessments and proposing technology-driven solutions to ground-level challenges.
- Developed stakeholder communication and public-speaking skills by presenting insights to faculty panels and cross-functional teams — building the confident, client-facing communication essential for translating technical AI work into business impact.
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Temporal frame-upsampling pipeline for geostationary weather satellites — doubles GOES-19's imaging cadence from 30-minute to 15-minute frames using deep optical-flow interpolation, giving forecasters smoother storm-tracking video without needing new hardware.
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Industrial safety intelligence platform built for the ET GenAI Hackathon, ranking in the top tier out of 65,000+ registered developers. Combines a hybrid dense + keyword retrieval RAG pipeline with interactive D3.js knowledge graphs so safety officers can query incident history, compliance docs, and equipment manuals in one place.
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Geospatial crime-analytics platform deployed for the Karnataka State Police SCRB. Renders a Three.js-powered 3D relationship graph over crime records and layers a secure RAG copilot on top, with SQL-validation guardrails so investigators can query structured case data safely in plain language.
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A financial independence planner that turns a user's income, expenses, and goals into a step-by-step FIRE roadmap, generated in three languages. Backend is built as a 5-layer secure API — auth, rate-limiting, input validation, encrypted storage, and audit logging — to safely handle sensitive financial data.
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Demographic analytics engine processing over five years of Aadhaar enrolment data across 700+ Indian districts. Uses Prophet for time-series forecasting to surface enrolment trends, seasonal patterns, and regional gaps, visualized through interactive Plotly dashboards.
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An end-to-end handwritten math solver: a CNN + Transformer OCR pipeline reads handwritten expressions off the page, and a SymPy symbolic engine solves them in real time, wrapped in a Gradio interface for instant testing and demoing.
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Languages
Machine Learning & Artificial Intelligence
Generative AI & RAG
Web Development & Databases
DevOps & Hardware Engineering
| Institution | Details | Period |
|---|---|---|
| Rajiv Gandhi Institute of Petroleum Technology | BTech – Electrical Engineering (Major: E-Vehicle Technology). Coursework: Data Structures, Linear Algebra, Machine Learning, Digital Electronics | 2024 – 2028 |
| City Montessori School, Lucknow | Class X: 96.0% (ICSE) · Class XII: 92.25% (ISC) | 2020 – 2024 |