I build AI systems with a focus on generative models and computer vision — from low-level simulation logic to production-ready ML pipelines. My background spans formal certifications in astrophysics and particle physics alongside hands-on ML work, which gives me an unusual lens for modeling complex systems.
An AI-powered facial composite generation system designed for law enforcement use. Built a two-phase architecture combining Stable Diffusion and DeepFaceDrawing for iterative refinement — accepts structured facial attribute inputs alongside free-text descriptions, generates multiple sketch variations per session with state persistence.
Probabilistic state-machine simulation of crowd behavior. Models how individual psychological states propagate and shift into emergent group dynamics using stochastic transition logic. Designed to simulate realistic behavioral cascades under varying crowd density conditions.
Web application that translates live weather data into real-time outfit recommendations. Built around a clean API integration layer that abstracts weather signals into user-facing, context-aware decisions.
| Domain | Technologies |
|---|---|
| Languages | Python, C++, C, Go, JavaScript |
| ML / AI | PyTorch, Stable Diffusion, GANs, Deep Learning, Computer Vision |
| Data | Data Preprocessing, Exploratory Analysis, SQL |
| DevOps | Linux, Docker, Kubernetes, Git, Cloud Computing |
| Scientific | Particle Physics, Astrophysics, Simulation Logic |
B.Tech, Computer Science and Engineering (AI/ML) — Manipal University Jaipur (2024 – 2028)