Computer Engineering · AI/ML Honors · CGPA 9.778
Automotive embedded intern at Visteon · HackAura winner · GATE qualified (CSE + DA)
I build software that works where it has to — testing production ECU modules at Visteon, real-time disaster detection systems, AI-powered platforms built under hackathon pressure. My background spans embedded C to full-stack web to applied ML, and I take each domain seriously rather than treating it as a checkbox
I'm finishing my final year at GEC Goa and joining Visteon full-time as an SDE. I'm open to conversations about embedded systems, backend engineering, or AI/ML roles.
July – September 2025 · Pune · Automotive Embedded Systems
Joined a 7-person embedded team working on production ECU modules. Over 8 weeks I moved from onboarding to taking ownership of unit testing deliverables for a customer audit.
- Achieved 100% branch/statement/function coverage across 14 AUTOSAR modules using VectorCAST
- Analyzed 100K+ MISRA-C, CERT-C, and static warnings; 99%+ deviation approval rate
- Proposed fixes for ~5% of Klocwork warnings flagged for the next production release
- Wrote Python scripts to automate Excel-based warning analysis workflows
- Created internal documentation and MS Teams resources adopted by the broader team
Tools: VectorCAST · Klocwork · GitLab · JIRA · WSL2 · AUTOSAR · MISRA-C · CERT-C
| Project | What it does | My role | Stack |
|---|---|---|---|
| Exoscope · NASA Space Apps | AI-powered exoplanet detection with RAG chatbot. | Backend + RAG integration (team of 4) | React, TypeScript, FastAPI, Groq API |
| CrowdSense | Real-time disaster detection from social media using NLP and anomaly detection | Full-stack → backend focus (team of 4) | Python, Flask, spaCy, Twilio, SQLite |
| TaskExpert · HackIndia | Knowledge graph-based task scheduler with dependency management | MeTTa developer (team of 4) | Python, MeTTa, Hyperon, AtomSpace |
| AstroDesk · Coders Club 2025 | Real-time NEO tracking, 3D visualization, multi-agent AI story generation | Core full stack developer (team of 4) | Python, Flask, Groq, Skyfield, NASA APIs |
| EcoSort-AI · Global AI Buildathon | Waste classification into 6 categories with gamified eco-points | Core full stack developer (team of 4) | Python, Flask, PyTorch |
| Advanced Port Scanner | Multi-threaded network scanner with GUI, banner grabbing, and export | Solo developer | Python, Tkinter, Matplotlib |
Embedded & Systems: C · C++ · Embedded C · AUTOSAR · CAN · UDS · MISRA-C · CERT-C · VectorCAST · Klocwork · Linux
Backend & Full-Stack: Python · Flask · FastAPI · React · TypeScript · SQL · REST APIs
AI/ML: RAG pipelines · PyTorch · spaCy · Groq API · Streamlit
Tooling: Git · GitLab · JIRA · GitHub Actions · WSL2
Practices: Unit testing · Static analysis · Agile/Scrum · DSA
- HackAura 2025 — 1st place
- HackIndia Spark 3 2025 — Top 7 of 80+ teams (Goa)
- GATE qualified — CSE and DA streams
- NPTEL — 47 courses completed; Domain Scholar (Programming & Data Science), Star, Megastar, Evangelist distinctions
- Technix Quiz — Co-organized state-level technical quiz (2023 and 2025)
- Multiple 1st-place wins in debates, quizzes, and coding competitions at inter-college events
- CodeChef: 1025 rating · HackerRank: C, Python, SQL, Java badges
Vāksetu — Real-time Indian Sign Language recognition system. Built for final year project. Currently at the project viva stage.
