Professional Overview
Generative AI Engineer specializing in LangGraph, RAG, and multi-agent systems. Built and deployed InvoiceIQ AI, a live SaaS performing three-way invoice matching, and DocuMind AI, a 5-agent LangGraph workflow turning notes into PRDs and reports. Skilled in FAISS, LangChain, CrewAI, FastAPI, and LLM APIs (OpenAI, Groq, Gemini, Claude).
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built and deployed InvoiceIQ AI, a live SaaS automating 3-way invoice matching
- Designed DocuMind AI, a 5-agent LangGraph workflow turning raw notes into PRDs
- Developed 10+ production-style GenAI projects using LangChain, LangGraph, CrewAI
- Deployed AI systems using FastAPI, PostgreSQL, Docker on AWS EC2.
Key Achievements / KPIs
- Deployed InvoiceIQ AI live at invoice.lashai.in,
- Built end-to-end AI projects across RAG, multi-agent, and automation use cases.
Education
Field of Study: Machine learning, gen ai, nlp, deep learning
Field of Study: Computer science
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
