§ 01 — Experience
Concurrent systems, shipped.
At Jack and Jill, I built a Python task execution system with bounded queues, backpressure, retries, timeouts, and structured failures for long-running workloads.
Read the background →
§ 00 / The Index
B.Tech student at IIT Bombay, building fast systems that hold up under load.
I work across concurrency, performance, and ML infrastructure: Python execution systems, Rust pipelines, C++ trading engines, and the odd benchmark that turns into a design constraint.
IIT Bombay Concurrent execution Low-latency systems Lock-free systems High Perf Computing GPUs Systems in ML IIT Bombay Concurrent execution Low-latency systems Lock-free systems High Perf Computing GPUs Systems in ML
§ 02 — Performance
A parser with a 30x speedup.
At Kalpataru Computer Services, I engineered a Rust parser for 10GB-scale files using mmap, multithreaded chunking, and zero-copy techniques.
See the experience →§ 03 — Projects
Trading, allocators, and decoding.
Bench, NexusAlloc, and SPEC are the clearest expression of what I like building: low-latency pipelines, memory primitives, and inference systems.
See the work →