Skip to content
View athrvd7's full-sized avatar
🦾
Still Coding
🦾
Still Coding

Block or report athrvd7

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
athrvd7/README.md

Atharva Dahake — Atv

AI · Solo Full-Stack Dev · Hackathon Regular

X · Portfolio · Email


Usual Stack

React, TypeScript, Vite, Tailwind, Node.js/Express, Python


Current Work

Project Description
AI Pulse AI news aggregator, scrape-to-digest pipeline: Anakin.io + Gemini 2.5 Flash + FastAPI + React/Vite/Tailwind, Telegram digest distribution.
EIH — Engineering Intelligence Hub RAG-powered codebase intelligence tool, 7-agent architecture, FastAPI, ChromaDB, force-directed dependency graph.
Ghost Job Radar Fake job listing detector, FastAPI + React, Mistral AI scoring, SQLite.
WebMind Agent Multi-agent developer intelligence dashboard, Gemini 2.5 Flash, SSE streaming, live reasoning trace.
TrustBite Blockchain food supply chain tracker, Polygon Amoy, 4-agent Claude architecture — hackathon winner.

Building From Zero

I build fast, mostly solo, mostly under deadline. My loop: scope it, ship it, ship next thing. Comfortable across full stack — React frontends, FastAPI/Express backends, Solidity contracts on Polygon, RAG pipelines with ChromaDB, multi-agent orchestration. I treat every hackathon as a chance to test a new stack combo, not just win.


Currently Exploring

  • Agentic pipelines: Model allocation strategy across free/open-weight LLMs (Kimi K2, DeepSeek V4 Pro, GLM, Qwen3, MiniMax M3) for multi-agent orchestration.
  • DSA grind: Striver's A2Z sheet in Java, targeting mid-tier product placements.
  • Local inference: Running Qwen3 on M1 MacBook Air via mlx_lm.server.

Profile Views

Pinned Loading

  1. smart-city-planner-GenAi smart-city-planner-GenAi Public

    JavaScript 1

  2. sih_crop_advisor sih_crop_advisor Public

    Python