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Achievement: Pull Sharkx2Achievement: YOLO

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Achievement: Pull Sharkx2Achievement: YOLO

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Dhravidk/README.md

Dhravid Kumar — AI systems, scientific software, and tools for understanding both.

I build and evaluate software across GPU systems, developer tools, and medical imaging. My work connects research experiments with interfaces, infrastructure, and evidence that people can inspect and use.

LinkedIn · Email

Explore the work

Project Engineering focus Start here
TraceForge Coding-agent trajectory analysis, evidence graphs, and a Jac/Python CLI Project & sample workflow
openTorch / CGinS PyTorch operator profiling, CUDA generation, and correctness feedback Architecture & source
Coding-Agent Research Library Literature discovery, source provenance, and thematic research indexes Browse the library
Medical Physics Residency Site Structured content, program navigation, and a Next.js interface Application source

What connects my work

Measure carefully. Preserve the workload, baseline, and evaluation context behind a result.
Make failures inspectable. Build tools that explain what happened and retain the evidence.
Finish the workflow. Connect models and experiments to usable interfaces and reproducible execution.

My broader research includes distributed model serving, coding-agent evaluation, and medical-image segmentation and source localization. These public repositories cover selected parts of that work.

Interested in research engineering, developer infrastructure, and systems software.

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  1. TraceForge TraceForge Public

    Compile coding-agent trajectories into inspectable evidence graphs, failure patterns, and comparison reports.

    Jac

  2. openTorch openTorch Public

    CGinS research prototype: PyTorch operator profiling, CUDA kernel generation, and validation-guided feedback.

    Cuda

  3. Coding-Agents Coding-Agents Public

    A coding-agent research library with source provenance, thematic indexes, and reproducible literature workflows.

    Shell

  4. amma amma Public

    Medical physics residency website template built with Next.js, TypeScript, and Tailwind CSS.

    TypeScript