Projects

competitive programming platform with code execution, judging, problem authoring, and leaderboards.

interview prep platform with mock rounds, feedback loops, and progress tracking.

Code executor for running untrusted code, No containers, VMs, Native support for gpus.

Built a SLURM-like topology-aware GPU scheduler for multi-GPU servers (single node).

building a compiler end to end, from lexing and parsing to IR design and code generation.

Building a GPU compiler stack for lowering kernels and optimizing accelerated workloads

interview platform based on real-life coding challenges.

high-signal updates across news, jobs, and results.

generates boilerplate from stack, architecture, and app requirements.

intelligent CI/CD pipelines with AI agents for automated testing and deployment.

building a GPT model from scratch to understand transformer architecture deeply.

exploring CUDA and GPU computing for high-performance parallel processing.

understanding deep learning frameworks by implementing core components.

Infrastructure as code with automated deployment workflows