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About
I'm a builder who likes problems where the constraints are real, frame budgets, latency targets, memory ceilings. The kind where the answer is measurable.
I am a third-year Electrical and Electronics Engineering dual-degree student at IIT (BHU), working across machine learning, robotics, algorithms, mathematics, and quant. Built on a strong foundation in C++, Python, and advanced mathematics, I move between the systems and research ends of a problem, and I'm happiest when there's a number to push.
On the research side: flow-matching action heads for the Octo generalist robot policy, and a city-scale traffic digital twin that fuses computer vision, graph neural networks, and reinforcement learning. On the systems side: a hardware-accelerated game engine, a production observability pipeline built from scratch, and quantitative alphas backtested across vast financial datasets.
Right now I'm a research intern at the Visual AI Lab at Changwon National University, South Korea, building real-time perception fast enough for vision-language-action robots to act on.
Current focus
- Machine learning & robotics, generative models, robot-learning policies.
- Algorithms, competitive programming, and systems performance.
- Mathematical modelling and optimization.
- Quantitative research and statistical modelling.
Toolkit
Languages
- C++
- Python
- Rust
- C
ML & research
- PyTorch
- Flow matching
- GNNs
- Reinforcement learning
- Computer vision
Systems & infra
- OpenGL
- SDL3
- CMake
- Prometheus
- Grafana
- Linux
Maths & quant
- Optimization
- Statistical modeling
- Alpha research
- Backtesting