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pjha26/README.md

πŸ‘¨β€πŸ’» About Me

class Pushkar:
    def __init__(self):
        self.role = "Final-Year CS (AI & ML) Engineer"
        self.focus = ["Multi-Agent Systems", "RAG", "Distributed Backends", "Full-Stack"]
        self.flagship = "ArthAI β€” Multi-Agent B2B Lead Generation Platform"
        self.currently_learning = ["Distributed Systems", "System Design", "Kubernetes"]
        self.looking_for = "AI-first / Full-Stack Internships @ Startups & Product Companies"

    def say_hi(self):
        return "Let's build something that thinks 🧠⚑"
  • 🧠 Building ArthAI, a multi-agent B2B lead-generation platform β€” actively deployed and evolving in production
  • πŸŽ™οΈ Built MockMind, an AI voice interview platform powered by LangGraph state machines
  • βš™οΈ Full-stack across React/Next.js, Node.js/FastAPI, Postgres/Mongo, and LLM-driven agent workflows
  • πŸ“ˆ Deep-diving into Distributed Systems, System Design, Backend Scalability & Kubernetes
  • 🏏 165+ LeetCode problems solved

πŸš€ Featured Projects

🧠 ArthAI

Multi-Agent B2B Lead Generation Platform

My flagship, production-deployed project β€” specialized AI agents research, qualify, and score leads end-to-end.

  • Multi-agent pipeline: Gemini + Groq-hosted Llama 3.3 70B fallback
  • RAG-powered lead qualification across multiple pgvector stores
  • ML intent scoring (scikit-learn) served on FastAPI
  • Competitor intel & news signal enrichment
  • BullMQ + Redis background jobs, Slack/Discord HOT-lead alerts
  • Deployed: Vercel Β· Railway Β· Supabase Β· Upstash

Next.js FastAPI PostgreSQL Prisma Redis BullMQ Gemini Groq pgvector

πŸŽ™οΈ MockMind

AI Voice Interview Platform

Voice-based AI interviewer running behavioral, technical, system-design, and HR flows in real time.

  • Real-time voice interaction via Vapi
  • LangGraph interview state machine (Evaluation β†’ Strategy β†’ Question Gen)
  • Groq-hosted Llama 3.3 70B inference + Gemini
  • HMAC-signed sessions, JWT auth
  • Transcript + structured feedback persistence

Next.js PostgreSQL Prisma LangGraph Groq Vapi JWT

πŸ“ SpecForge

AI Technical Specification Platform

Turns GitHub repos or plain-language ideas into structured technical specs.

  • Multi-model routing: OpenAI + Gemini
  • Streaming generation via Server-Sent Events
  • OpenAPI 3.1 contracts, GitHub sync & webhooks
  • AI-powered document chat over generated specs
  • Exports: DOCX, PDF, Markdown, Notion, code scaffolds

React TypeScript Vite Node.js Express PostgreSQL Drizzle SSE

⚑ ExpertBook

Real-Time Expert Booking Platform

Experts define event types, clients book sessions with live availability.

  • Sub-100ms real-time updates via Socket.io
  • Server-side availability validation, timezone-aware scheduling
  • JWT auth with role-based access control
  • Gemini-powered expert matching & session summaries
  • Calendar .ics export

React Vite Node.js Express MongoDB Socket.io JWT Gemini

πŸ› οΈ Tech Arsenal



OpenAI Gemini Groq LangGraph RAG pgvector scikit--learn MLflow

πŸ“Š GitHub Analytics

🐍 Contribution Snake

Animated via a scheduled GitHub Action β€” see .github/workflows/snake.yml below.

πŸ† Trophy Case

🎯 What I'm Looking For

I'm actively seeking software engineering & AI/ML internships β€” AI-first and full-stack roles at startups and product companies where I can ship agentic systems, backend infra, and applied ML.

πŸ“« Email Β· LinkedIn Β· GitHub


Pinned Loading

  1. ML-Backend ML-Backend Public

    Real-time AI-powered student concentration monitoring system using MediaPipe, OpenCV, FastAPI, and React with live attention tracking, gaze analysis, and interactive analytics dashboard.

    JavaScript

  2. real-time real-time Public

    A production-ready booking system for professionals. Features custom event types, real-time availability via Socket.io, Gemini AI matching, and automated meeting links.

    JavaScript

  3. vc-intelligence vc-intelligence Public

    TypeScript

  4. arth.ai arth.ai Public

    AI-powered Intelligence CRM that auto-generates deep-dive research reports for inbound leads using a multi-agent Gemini/Groq pipeline with RAG chat and ML-based intent scoring

    TypeScript

  5. Spec-Forge Spec-Forge Public

    TypeScript

  6. mock-mind mock-mind Public

    AI-powered voice mock interview platform with adaptive follow-ups, LangGraph conversation engine, and real-time voice interaction using Vapi

    TypeScript