Hi!

I'm Aman, a student at IIT Roorkee. I write performance-critical software. Mostly systems, infrastructure, and ML pipelines.

Currently a Data Science PPO at HiLabs and a GSoC 2026 contributor at GNU Octave. I care about how software maps to real hardware, and I apply the same lens to ML systems.

Notes, experiments, and things I care about.

Open to systems / infrastructure and ML systems / data-science roles. Best way to reach me: email.

About

I work on systems, performance-critical software, and the fundamentals of computation, with a focus on how software maps to real hardware.

I approach problems from first principles: understanding why something works, the constraints involved, and how it can be made simpler or faster.

I also apply systems thinking to ML pipelines. At HiLabs I build entity-resolution and LLM-as-a-judge evaluation workflows; at GSoC I'm rewriting GNU Octave's ANOVA stack for performance.

Outside of coding, I read technical papers, do art, hit the gym and spend time outdoors.

Currently Data Science PPO at HiLabs. LLM-as-a-judge evaluation pipelines. Google Summer of Code 2026 with GNU Octave. Object-oriented ANOVA framework.
Interests Art C++ Infrastructure Systems Programming Computer Architecture Compilers

Achievements

  1. 2026 (Current)

    Google Summer of Code 2026

    Selected for GSoC 2026 and contributing to GNU Octave.

  2. 2026 (Current)

    HiLabs Data Science Intern

    Data science internship at HiLabs.

  3. Dec 2025

    Silver in Inter IIT Tech Meet 14.0

    1st runner up in the ISRO Geospatial VLM problem statement among 24 IITs.

  4. Sept 2025

    HiLabs Data Science PPO

    Received a pre-placement offer from HiLabs.

  5. HiLabs AIQuest Winner

    Won first prize in HiLabs AIQuest Hackathon organized at IIT Roorkee.

  6. May–Jul 2025

    Info Edge Data Science Intern

    Data science internship at Info Edge.

  7. Dec 2024

    Silver in Tech GC, IIT Roorkee

    Silver medal in the ML problem statement for designing an AI-interview chatbot.

Currently Shipping

Single binary, zero-copy, SIMD-accelerated ingestion engine for very large CSV data. Streams directly into typed columns.

ZeroShred

shipped

High-throughput file transfer hitting 780 MB/s via kernel-level zero-copy (sendfile), pipelined SHA-256 on dedicated threads, and hardware crypto acceleration.

Selected for Google Summer of Code 2026 contributing to GNU Octave; working on numerical infrastructure. See merged PRs.

Recent Writing

SWAR Parsing Internals

How SIMD-Within-A-Register turns ordinary 64-bit integers into 8-lane parallel byte processors.

· systems, performance · 4 min read

GitHub Activity

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