Atharva

Atharva

i'm 22 and mildly obsessed with how things fail. most of my days go into open source: llm gateways, routers, and the glue code where anthropic and openai apis disagree and quietly eat your tool calls, thinking blocks, and stop reasons.

when a bug annoys me enough, i build something around it. kairo collects gateway breakages so anyone can replay them. agentclash throws agents at the same task and keeps score. i'm also into data: synthetic datasets, evals, and finding the exact spot where a model falls over.

when something clicks, i write it up or turn it into an explainer video.

off the keyboard, i read too much philosophy (advaita vedanta, mostly), lift heavy things, and keep hip hop on loop.

  1. Rimo · Software Engineer

    Software engineer at Rimo, mostly working on AI features across the product. A lot of that has been knowledge agent tooling, outgoing webhooks for agent actions, and meeting group flows tied to AI prep and generation. Also spend time on RAG cost tracking, template dispatch, and how summaries get generated.

  2. Google Summer of Code · workflows4s

    Contributor for Google Summer of Code 2025 with workflows4s, a Scala workflow library. Worked on a UI and Tapir API for browsing workflow definitions and instances, plus client-side Mermaid diagrams to show execution progress. Also helped package the app with Docker and a small GitHub Actions deploy to Fly.io.

  3. LFX Mentorship · Zowe

    Mentee with the Linux Foundation's LFX program through Open Mainframe Project, contributing to Zowe. Started around the App Store, then spent most of the summer on server stability and making the local dev setup easier for new contributors. Documented setup issues, improved README instructions, and helped debug TypeScript runtime errors in the app server.

  4. IIITDM Jabalpur · B.Tech, Computer Science

    Studying computer science at the Indian Institute of Information Technology, Design and Manufacturing, Jabalpur. Co-authored an IEEE paper on Cognitive Agriculture, a Web-GIS framework for crop recommendation and plant disease detection using machine learning. A lot of my learning outside coursework has been through open source, research projects, and internships.

Open source

Most of what I merge upstream right now are LLM gateway and router bugs: places where converting between Anthropic and OpenAI style APIs drops fields (thinking blocks, tool calls, attachments, stop reasons), mishandles refusals and content filtering, or leaks credentials and org headers through a proxy (NVIDIA-NeMo/Switchyard, mozilla-ai/any-llm). I also fix response-parsing and patch-application correctness in coding-agent tooling like SakanaAI/ShinkaEvolve: block-type parsing, edit-marker placement, and formatting validation for generated patches. Mostly inference-side work: request and response shapes, streaming, and the spots where providers quietly disagree. Merged PRs on GitHub →

Projects

Stupid, curious engineer. I build things because they seem worth building. Sometimes they aren't, and that's just how it goes. For all my results of inquisitiveness, see my GitHub.

  • AgentClash

    Open-source eval platform for AI agents. Same workload, captured evidence, scorecards, and CI regression gates.

  • learnframe

    YouTube-first learning toolkit that turns public videos into local courses with transcripts and timestamp-cited Q&A.

  • chalkboard

    Turns a prompt into a narrated whiteboard explainer video. Self-hostable, MIT, works with local models.

  • agentic-memory

    Cognitive memory for AI agents with separate semantic, episodic, and procedural stores.

  • datasmith

    Provider-agnostic SDK and CLI for building targeted synthetic training and eval datasets — web-grounded seed construction feeding a weak-vs-strong generation loop, with OpenTelemetry trace ingestion.

  • AnimeVocab

    Learn Japanese from anime — romaji-first Chrome extension, spaced repetition, Listening Mode, Manga Studio, and cloud sync. Free and open source.

  • e2b-go

    Unofficial Go SDK for E2B sandboxes.