About Me
I am a 3rd-year B.Tech Computer Science Engineering student at Rajasthan Technical University (CGPA: 8.81) and a Software Engineer specializing in native Android architecture, computer vision pipelines, and full-stack ML systems. My technical philosophy centers on deep engineering fundamentals — moving beyond surface-level integrations to understand system-level APIs and custom software architecture.
I have hands-on industry experience building AI-powered products: from chaining YOLOv8 + CLIP + MTCNN for an automated wedding photo culling system at Fotographiya, to architecting ML-driven matching engines with SentenceTransformers at Syon Technologies. My competitive research work on 3D Noise2Void denoising earned Global Rank 2 at the AI4Life International Grand Challenge.
I am currently studying the Japanese language and actively preparing my engineering foundation to enter the Japanese tech market as a fresh graduate.
Technical Expertise
| Domain | Technologies |
|---|---|
| Mobile Development | Kotlin, Jetpack Compose, MVVM Architecture, Room, Background Services |
| Backend & Full-Stack | Python, FastAPI, Node.js, Next.js, Prisma, Redis |
| AI & Computer Vision | YOLOv8, MediaPipe FaceMesh, CLIP ViT-L/14, PyTorch, 3D Noise2Void |
| Programming Languages | Python, Kotlin, JavaScript/TypeScript, C++ |
| Tools & Infrastructure | Git, Docker, MongoDB, PostgreSQL, Firebase |
Achievements
- 🏆 Global Rank 2 — AI4Life International Grand Challenge (Calcium Imaging Denoising)
- 🎯 Top 8% Nationwide — AlgoUniversity Tech Fellowship (ATF 2025)
- 📊 CGPA: 8.81 — Rajasthan Technical University, B.Tech CSE