MLOps/AI Engineer at relevaince.ai. Exploring GPU programming, kernel optimization, and writing C++ on the side.
- building ML infrastructure — training pipelines, model serving, deployment on k8s
- learning CUDA — writing custom kernels for transformer inference
- reading about computer architecture and parallel computing
2026 |
cuda-kernels | custom CUDA kernels for transformer inference — fused attention, quantized GEMM |
2025 |
mlops-pipeline | end-to-end ML pipeline with automated training, evaluation, and deployment |
2025 |
gpu-bench | benchmarking suite for GPU memory bandwidth and compute throughput |
2024 |
vector-db | lightweight vector database with HNSW indexing and CUDA-accelerated search |
2024 |
model-serving | high-throughput model serving with dynamic batching and TensorRT |
bhavyagiri.com · twitter · linkedin · email
// this readme runs on 1 thread. not optimal.



