Rishabh Pawar

About Rishabh Pawar

I ship AI systems and full-stack products that run in production not demos, not tutorials.As a final-year CSE student, I\'ve built a LangGraph agentic pipeline with 13 live data sources, a hybrid BM25 + FAISS RAG system achieving 85%+ retrieval accuracy (RAGAS-evaluated), and a multi-tenant SaaS platform monetized at with Razorpay.At Algoworks Technologies, I cut API response time by 40% on a multi-tenant Node.js + PostgreSQL platform and shipped 12+ RESTful APIs across 3 environments with 80%+ test coverage. I\'ve containerized services with Docker, built GitHub Actions CI/CD pipelines, and run async job queues under real traffic with Bull.js + Redis.I also founded scaliqalgo.in an AI engineering firm where I lead a team of 4, serve live clients, and build LangGraph pipelines, RAG knowledge bases, and full-stack SaaS platforms for businesses in India and globally.My stack:→ AI/GenAI: LangChain, LangGraph, RAG Pipelines, FAISS, Pinecone, RAGAS, OpenAI, Claude→ Frontend: Next.js 14 (App Router), React.js, TypeScript, Tailwind CSS, shadcn/ui→ Backend: Node.js, Express.js, FastAPI, GraphQL, JWT, RBAC, OAuth 2.0→ Databases: MongoDB, PostgreSQL, Redis, ChromaDB, Supabase→ DevOps: Docker, AWS (S3, EC2), GitHub Actions, Vercel, Sentry, LangSmithWhat I\'ve shipped- VendorIQ — B2B SaaS, 13-source data pipeline, live Razorpay payments, 85–88% accuracy- LegalRAG-Engine — Hybrid RAG for legal docs, 85%+ retrieval, RAGAS-validated- Vegit — Full-stack quick-commerce app, live client, real-time order tracking- AgriContractor — 2nd Prize, HACK-A-THON 2K25 (500+ participants)Open to remote Full Stack / AI Engineering roles (immediate joining).If you\'re building something with LLMs, RAG, or production SaaS, let\'s talk. r••••••••@gmail.com | scaliqalgo.inGitHub: github.com/RISHABH-PAWARPortfolio: https://portfolio-rishabh-2.vercel.app/

Experience

1. Software Engineer

   Scaliq

   Jan 2025 — Present · IN

   Architected TalentSyncIQ — an AI-powered hiring SaaS (Next.js 14, TypeScript, Supabase, Redis) with Redis SETNX slot locking, Google Calendar sync, QStash scheduling, and a WhatsApp booking bot delivering sub-200ms confirmationlatency.• Built Groq AI slot-reason engine with Redis caching; engineered NSRS prediction model, Razorpay billing across 3 subscription tiers, and multi-tenant Supabase RLS ensuring zero cross-tenant data leakage; contributed to 10+ production client deployments, 99.9% uptime, 40%+ manual workflow reduction via LangGraph pipelines.

Education

• Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow

  Bachelor of Technology, Computer Science