RAG Document Q&A Pipeline
Ingests PDFs, chunks them, generates OpenAI embeddings, and retrieves grounded answers via a Qdrant vector database.
AI / ML Engineer · LLM & RAG Systems
LLM pipelines, RAG architectures, and autonomous agents — taken from prompt to production. I shipped AI-powered features on PressHop, a platform serving 200K+ monthly active users across 19 cities, and built domain-grounded RAG assistants for legal, infrastructure, and product clients.
About Me
I'm an AI/ML engineer with production experience building LLM systems, RAG pipelines, and autonomous agents. At Difmo I shipped AI-assisted features end-to-end — prompt engineering, vector integration, QA, and deployment — on PressHop, a live platform serving 200K+ monthly active users, and delivered domain-grounded RAG assistants for legal and infrastructure clients. I work across the full AI engineering stack: retrieval optimization, vector databases, and LLM integration with OpenAI, Gemini, LangChain, and self-hosted local models. Currently pursuing my B.Tech in Computer Science at Uttaranchal University, Dehradun.
Skills
Education
Portfolio
Retrieval pipelines, agents, and production apps I've built and shipped — each link opens the live repo or project.
Ingests PDFs, chunks them, generates OpenAI embeddings, and retrieves grounded answers via a Qdrant vector database.
An agent that follows a start → plan → action → observe loop, selecting and executing tools with strict structured JSON output.
Remembers facts across sessions using mem0 for memory, Neo4j as a graph store, and Qdrant for vector search — personalized, context-aware replies.
Graph-based query routing with MongoDB-backed conversation state and multi-step orchestration across tools and sub-chains.
FastAPI wrapper around a self-hosted Ollama / Gemma 3 model, enabling private on-device LLM inference behind a clean REST interface.
Multi-user learning tracker built on Firebase with PIN-separated profiles and progress that persists across sessions. Live in production.
Domain-grounded RAG for content discovery plus AI-assisted features shipped end-to-end on a platform with 55K+ users and 200K+ monthly actives across 19 cities.
Experience
Difmo Pvt. Ltd. · Lucknow, India
LegalTech RAG platform for case law, judgments and multilingual legal discovery — 50K+ monthly visitors, 10K+ legal professionals.
Enterprise RAG assistant over a 1,200+ delivered-project knowledge base spanning cloud, cybersecurity, networking and telecom documentation.
Designed and deployed a responsive product website covering 6 categories: waterproofing, adhesives, admixtures, grout, decoratives, and tile & stone care.
Contact
Got an LLM feature to ship, a RAG pipeline to build, or an AI product that needs to reach production? I'm open to freelance work, collaborations, and full-time roles.
vaishnavijaiswal.work@gmail.com +91 8353945347 Lucknow, India© Vaishnavi Jaiswal — Designed & built with care.