Anupam Tiwari
4+ years building scalable SaaS platforms & enterprise-grade AI systems
About Me
Frontend-heavy Full Stack AI Engineer with 4+ years of experience building scalable SaaS platforms and enterprise-grade AI systems. Currently at Fractal Analytics, architecting production GenAI systems for Mercedes-Benz.
Specialized in Retrieval-Augmented Generation (RAG), multi-agent orchestration using LangGraph, and AWS-based data architectures. Passionate about building intelligent, performant, and production-ready systems that solve real-world business problems.
Work Experience
Software Engineer – AI / GenAI
● CurrentSeptember 2025 – Present
- Architecting a production-grade GenAI system for Mercedes-Benz to automate vehicle test specification generation using RAG and LangGraph
- Designed and implemented a structured multi-stage RAG pipeline converting engineering documents into validated test-ready outputs
- Built interactive internal dashboards using React + TypeScript for monitoring LLM performance and evaluation metrics
- Implemented multi-agent orchestration using LangGraph and Model Context Protocol (MCP) for complex reasoning workflows
- Improved document processing efficiency by 45% through optimized embedding, retrieval strategies, and caching mechanisms
Software Engineer
April 2023 – August 2025
- Designed and deployed an AI-driven risk assessment platform improving SaaS startup auto-approvals by 40% and reducing manual underwriting effort by 30%
- Led frontend development using React + Chakra UI, improving user engagement by 25% through UX redesign and performance optimization
- Integrated Plaid and Teller APIs for secure real-time financial data aggregation
- Automated ETL workflows using AWS Glue, Lambda, and Redshift, improving query performance by 50%
- Managed scalable AWS infrastructure supporting multi-service deployments and CI/CD pipelines
Software Engineer
October 2021 – March 2023
- Built and maintained fintech web platforms using React, Redux, and Node.js, reducing financial calculation errors by 20%
- Developed dynamic dashboards and reporting systems improving data visualization efficiency for business teams
- Collaborated with backend and design teams to deliver performance-optimized and scalable product features
Key Projects
RAG-based Search AI Assistant
Production-ready RAG system using LangChain, OpenAI, and Supabase enabling natural-language search across private enterprise datasets.
AI Document Chatbot (Frontend)
Intelligent document analysis tool using OCR, AWS Textract, and LangChain — Next.js + TypeScript frontend with real-time chat UX.
AI Document Chatbot (Backend)
FastAPI backend for document intelligence with RAG, OCR, Langfuse observability, and LangGraph multi-step workflows.
AI Document Insights
OCR-based document intelligence using AWS Textract, LangChain, and Bedrock for automated extraction, summarization, and querying.
Hotel Sales Voice Agent
Vapi-based voice agent automating hotel sales calls, handling inquiries, and converting leads through natural conversation flow.
FinTech Analytics Dashboard
High-performance React financial dashboard reducing data retrieval time by 40%, with real-time visualization and reporting.
E-Commerce Platform (Frontend)
Full-stack marketplace with Stripe payment integration, responsive design, and real-time product management.
E-Commerce Platform (Backend)
RESTful API backend with authentication, inventory management, and Stripe payment processing.
Technical Skills
AI / GenAI
Frontend
Backend
Cloud & DevOps
Data Engineering
Tools & Platforms
Education & Certifications
Education
B.Tech in Computer Science
Bangalore University
2020
Certifications
Building Agentic RAG Systems with LangGraph
Analytics Vidhya
RAG Systems Essentials
Analytics Vidhya
Building AI Agents
Analytics Vidhya
Quantum Computing Foundations
Analytics Vidhya
Gemini 3: The AI That Knows You
Analytics Vidhya
Get In Touch
Open to new opportunities and exciting projects. Let's connect!