hey, i'm
intro
- currently building paprika — runtime governance for ai agents. trace capture, policy enforcement, deterministic replay. deployed to 25+ b2b engineering teams.
- prev. swe intern @ Railinc (summer '24 + '25). react + java/spring boot on the RIGIS platform. etl pipeline processing 100K+ rail stations.
- studying cs @ berkeley (on leave)
- prev. MLE @ flywheel — the content engine for b2b SaaS teams. architected E2E MCP used by 10+ clients, wired voice, context, api keys, flags, and usage logging across 3 backend services.
- contributor to BFCL — the berkeley function calling leaderboard as part of RISE lab. drafted bfcl v5, a multimodal benchmark extension for agents → designed 9 perception-to-tool-call failure tests across audio/vision. cited by openai, nvidia, anthropic teams.
- researcher @ uc berkeley (eecs), satellite imagery + ML to detect crypto mining development in el salvador (Potts Lab)
projects
- sub-millisecond routing engine for real-time navigation. uses contraction hierarchies + xgboost traffic predictions to find optimal routes across 280K+ road segments in the bay area.stack: c++ • postgis • xgboost • osm
- point-in-time correct feature store with sub-8ms online serving. time-aware joins that actually work, no model training surprises.stack: duckdb • redis • parquet
- llm inference server with 32% throughput improvement over huggingface baseline. micro-batching + kv-cache reuse for sub-200ms p95 at 100 concurrent requests.stack: python • cuda • mistral-7b
open source
- merged performance optimization + distributed benchmarking PRs upstream.
- numba jit point-in-polygon engine. 10M points in 0.58s. wrote it because existing spatial filters were too slow and i was impatient.
- load-testing cli sustaining 4.8K req/sec at 500 concurrency with p95/error ci gating.
lore
- pretty good at geography trivia (top 1% sporcle, jetpunk player)
- i run buzzer based comps @ iac
- i've urbexed every part of the bay and will travel anywhere for a skyline or sunset pic
- played trevor rainbolt in ranked geoguessr. got absolutely cooked tho
- played carnatic violin for 10 years
- huge chelsea fan + chicago sports
- been to 30+ countries and my dream is to visit every single one
- have listened to 500 rap/rnb albums and will give better takes than anyone on the new releases
currently
- @ berkeley to scale and build wherever and whatever i can
- still thinking about that caleb williams throw…
- saving money for asap rocky, don toliver, and world cup games
- will bench 225 by the end of the year
- about halfway done with the blind 75!
- thailand summer 2026
- stay tuned for record labs. building in music, my passion.
some other things
- coursework: data structures, algorithms, discrete math, structure of computer programs, a.i., machine learning, networking + internet protocols, database systems, computer vision, data science
- languages: python, c++, typescript, java, sql
- ml + systems: FSDP, AMP, CUDA, KV-cache, distributed fine-tuning, eval pipelines, quantization
- frameworks: react, fastapi, spring boot, node.js, duckdb, langgraph, pytorch, xgboost
- infra: aws, docker, redis, postgresql, postgis, gdal, arcgis pro, linux, ci/cd
- interests: cities + public transportation, collecting old maps, tamil culture, soccer jerseys, geoguessr, chicago sports, all sorts of music
- less frequently: south indian movies, home decor, sketching, online chess, sparkling water
other things
this page changes often. if you're reading this, feel free to reach out.