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ashwinsreedhar28/README.md

Hi, I'm Ashwin 👋

Backend & AI infrastructure engineer, finishing an MS in Computer Engineering at Purdue (Dec 2026).

What I've built

  • emberserve: LLM inference engine from scratch (Python + Triton). 23% → parity with vLLM on a 7B through nine profile-driven fixes; Qwen3-8B cold start 6.7 s vs vLLM's 69 s.
  • serverless-lakehouse: medallion lakehouse over GPU cold-start data from Runpod Serverless. Built on PySpark + Delta, ported to Snowflake + dbt with 8/8 gold tables at parity; live Runpod API poller; dataset + dashboard on Hugging Face.
  • Pulse: local-first macOS news intelligence app with local and Claude LLM routing.

Open source: compile-cache fix merged into Runpod's vLLM worker (v2.29.0). Caches torch.compile output on network volumes, cutting ~40–60 s per cold start.

Before: platform developer at E&J Gallo: production LLM agents and an automation fleet running 30–50 jobs a day.

Open to new-grad backend / AI infra roles starting January 2027 · LinkedIn

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  1. emberserve emberserve Public

    From-scratch LLM inference engine — continuous batching, paged KV cache, prefix caching, hand-written Triton paged attention, CUDA graphs, OpenAI-compatible API. Benchmarked against vLLM on an A100.

    Python 1

  2. serverless-lakehouse serverless-lakehouse Public

    Medallion lakehouse (bronze → silver → gold) over my own Runpod Serverless LLM benchmark data: cold starts, FlashBoot, worker-vllm boot anatomy, cost per job. Local PySpark + Delta Lake, redacted l…

    Python

  3. Pulse Pulse Public

    Pulse — a private, local-first macOS news & intelligence dashboard. Electron + React + SQLite, Ollama-powered urgency scoring, per-team sports alerts, Stooq quotes, Hyperintelligence feed discovery…

    TypeScript 3

  4. Aether Aether Public

    Personal-OS substrate. Holographic Electron shell on a signed mesh, with voice as a first-class participant. macOS, pre-1.0.

    TypeScript 3 1