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Computer Science undergraduate specializing in AI and Machine Learning, with applied experience across computer vision, applied machine learning, and retrieval-based systems. Comfortable working end-to-end — from model integration to backend deployment to evaluating systems for accuracy before shipping. Contributed to open-source software through national-level initiatives such as FOSSEE, IIT Bombay.
📄 Resume: View / Download Resume
Languages
Python • C++ • Java • HTML5 • CSS3
Frameworks & Libraries
PyTorch • TensorFlow • OpenCV • FastAPI • scikit-learn
Tools & Platforms
Git • GitHub • VS Code • Docker • Vercel
| Domain | Details |
|---|---|
| Computer Vision | Real-time detection & tracking, depth estimation, Tesseract OCR, YOLOv8, OpenCV, MediaPipe |
| Deep Learning | CNNs, model training & debugging, PyTorch, Neural Networks |
| GenAI / LLMs | RAG pipelines, agentic workflows, prompt engineering, LLM integration |
| Backend & APIs | FastAPI services, Supabase integration, async request handling |
| Automation | Workflow automation (n8n), scripting |
| Cloud & Deployment | Vercel, Docker Compose, AWS (Cloud Computing coursework) |
- Architected a client-side
.3psexport/import engine using zlib and JSZip to compress and validate project archives - Engineered carbon emission calculations across 4 categories — materials, transportation, machinery, and traffic diversion — applying NITI Aayog and SSP/RCP emission standards
- Modified 15+ React components and wrote unit tests validating emission formula accuracy across the platform
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open_to:
- AI/ML Engineering Roles # End-to-end model development & training
- Computer Vision / GenAI Core # Multi-modal systems, RAG, and edge deployment
- Software Engineering (AI/ML Track) # Integrating intelligent systems into robust backends
- Research & Development Internships # Fast prototyping and turning papers into production code
- Open-Source & Hackathon Collaborations # Dynamic, fast-paced team building"Passionate about building intelligent systems engineered for the real world."