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Akshat2634/README.md
Akshat Sahu — Founding AI Engineer

What I do

Portfolio LinkedIn Email Open to opportunities

Profile views Followers Location


🧠 About Me

class AkshatSahu:
    def __init__(self):
        self.role         = "Founding Software Engineer @ Future Path AI"
        self.education    = "MS Computer Science, Stevens Institute of Technology (GPA 3.9)"
        self.focus        = ["multi-agent orchestration", "RAG pipelines", "enterprise LLM infra"]
        self.stack        = ["Python", "TypeScript", "Go", "FastAPI", "LangGraph", "Next.js"]
        self.shipping_for = "Fortune 500 pharma & finance clients"

    def current_mission(self) -> str:
        return "Turning frontier models into reliable, evaluated, production-grade products."
  • 🚀 I architect AI agent infrastructure — multimodal RAG (pgvector + BM25 hybrid retrieval, cross-encoder reranking), evaluation pipelines (DeepEval, RAGAS, Langfuse across 200+ test cases), and a multi-agent orchestration platform on LangGraph + DeepAgents.
  • 🔌 I built an MCP orchestration layer spanning 80+ enterprise integrations for Fortune 500 pharma & finance teams.
  • 🎓 MS in CS from Stevens (3.9 GPA), former Web & Media Graduate Assistant at the Hanlon Financial Systems Center.
  • 📸 Off the clock, I'm a photographer & cinematographer — Shutter Illusions.
  • 💬 Ask me about LLM agents, RAG, evals, MCP, or scaling AI products from prototype to production.

🛠️ Tech Stack

Languages
AI · LLM · Agents
Backend & APIs
Frontend
Data & Vector
Cloud & DevOps

Tech stack icons


🚀 Featured Projects

🤖 CodeLens AI  ⭐7

Agent Productivity-to-Cost Correlator. Correlates AI-coding-agent token spend with git commits to surface ROI dashboards, cost-per-commit, and unproductive-session detection.

Repo · Live Demo

Enterprise-grade RAG over your documents. Natural-language chat across PDFs/DOCX with FastAPI + LanceDB vector search and a React/Next.js frontend.

Repo

AI coach for founders. Analyzes pitch decks and runs voice/chat investor simulation via the OpenAI Realtime API, with Y Combinator–heuristic feedback.

Repo

Graph-based multi-agent recruiting. LangGraph agents screen candidates, match profiles to job descriptions, and assist recruiters through multi-agent collaboration.

Repo

More projects →
  • 🔍 AI-RCA-Engine — AI-powered root-cause-analysis engine for incident triage.
  • 🗓️ MeetSync — syncs meetings, generates summaries, and posts Slack updates (Python).
  • 🛡️ SurroundShield — real-time, personalized risk alerts from location + health + weather data.
  • 🐾 PawPal — full-stack pet services platform (adoption, scheduling, provider matching).
  • 🌐 Tech-Portfolio — this portfolio, built with Next.js 15, React 19 & Tailwind.

📊 GitHub Analytics

Profile summary

Repos per language Most committed language

GitHub stats overview When I code (productive time)

Activity graph


⏱️ Weekly Coding Breakdown

From: 22 July 2026 - To: 29 July 2026

Python   9 mins                █████████████████████████   100.00 %

🤝 Connect With Me

LinkedIn Email Portfolio Kaggle HackerRank Photography


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  1. PawPal PawPal Public

    A web app for managing pet profiles, scheduling, and adoption—built to connect pet owners and institutions.

    JavaScript 1

  2. PitchPilot-AI-Powered-Investor-Deck-Analyzer-Coach PitchPilot-AI-Powered-Investor-Deck-Analyzer-Coach Public

    An AI-powered platform that reviews your pitch deck or script, provides actionable feedback, and simulates investor Q&A – powered by LangGraph and LLM reasoning.

    Python 1 1

  3. RecruitIQ RecruitIQ Public

    👔 RecruitIQ - LangGraph A modular, graph-based AI workflow for simulating and automating a recruitment agency. Built using LangGraph, this project leverages conversational agents to screen candidat…

    Python 1

  4. Tech-Portfolio Tech-Portfolio Public

    My personal portfolio website built with Next.js 15, React 19, TypeScript, and Tailwind CSS—showcasing my work, projects, and experience.

    TypeScript 1