Full Stack Development
Build end-to-end web applications by combining modern frontend technologies with robust backend systems, secure APIs, and efficient database architecture, delivering scalable, high-performance, and maintainable solutions.
Available for work · Bangalore, India
Manish Gandotra
AI Full Stack Engineer· LLM Agents & RAG
AI full stack engineer with 7+ years of experience in Python, Node.js, React, and TypeScript. For the last couple of years I have been building LLM agents and RAG workflows for financial documents at Termgrid, where my team automated over 70% of manual verification and brought processing time down from hours to under two minutes. Before that I worked on APIs, database performance, and background processing at Deloitte, Cognizant, and the National Informatics Centre. I like backend problems, and I enjoy helping other engineers get better.
7+
Years experience
12+
Projects delivered
4
Companies
70%+
Manual verification automated
< 2 min
Per document, down from hours
61%
Lower p95 latency
42%
Lower AWS bill
Services
What I Do
AI Specialist
Design and integrate AI-powered features using LLMs, structured outputs, and agent workflows—shipping reliable GenAI experiences with clear guardrails and observability.
Expertise
Skills & Technologies
Tools and technologies I use in production, by area.
- React
- Next.js
- TypeScript
- JavaScript
- React Native
- GraphQL
- Python
- FastAPI
- Flask
- Node.js
- Express
- Nest.js
- Prisma ORM
- Type ORM
- Apache Airflow
- Async Workers / Retries / DLQs
- OAuth 2.0 / JWT / RBAC
- PostgreSQL
- MongoDB
- MySQL
- Redis
- Vector Databases
- SQL Optimization & Indexing
- AWS
- AWS Lambda / SQS / ECS
- AWS API Gateway / S3 / EC2
- CloudWatch & Distributed Tracing
- Docker
- Jenkins
- Kubernetes
- GitHub Actions
- Git
- Jest
- React Testing Library
- Playwright
- TDD
- Chai / Mocha
- Chrome Ext.
- Claude
- Cursor
- GenAI / LLMs
- LangChain
- LangGraph
- RAG & Retrieval Pipelines
- Document Chunking
- Multi-Agent & Stateful Workflows
- IBM watsonx Orchestrate
- Claude AI
- OpenAI
- Ollama
- Prompt management
- AWS Bedrock
- Tool / Function Calling
- Structured Outputs
- Guardrails
- Embeddings & Semantic Search
Career
Work Experience
Background
Education
Academic foundation in computer science and engineering.
Bachelor of Technology
B.Tech in Computer Science and Engineering (CSE)
Beant College of Engineering and Technology, Gurdaspur · Aug 2013 – Jun 2017
Skilled in programming (C, C++, Java, Python), software development, data structures, algorithms, and database management. Experienced in application development with strong problem-solving skills. Adaptable to emerging technologies.
AI & Innovation
Agentic/Gen AI
LLM agents, RAG, and Generative AI products.
Verita H+
↗Healthcare RAG Platform
Healthcare AI platform where users upload documents and get answers drawn from their own content…
ClaudeAWS BedrockLangGraphRAG+8
AI Voice Agent CRM Platform
↗CRM with a Real-Time Voice Agent
CRM platform built from scratch with a real-time voice agent that talks to customers, looks up their…
AI Voice AgentsLangGraphNestJSNext.js+15
Intelligent PDF Processing Platform
↗Document Extraction & RAG Search
Document processing platform that extracts, validates, and searches information from large PDFs…
PythonOCRLLMsRAG+10
Portfolio
Full Stack Development Projects
Selected platforms and products built across enterprise, fintech, and SaaS.
Termgrid
↗Private Capital Markets Platform
End-to-end platform for private capital markets that connects sponsors, lenders, debt advisors, and…
LangGraphPythonReactTypeScript+8
Axe Auditor
↗Accessibility Testing Platform
Manual testing tool and system of record for accessibility experts, used to complete the last mile…
ReactNode.jsTypeScriptaxe-core+5
Centiment
↗Survey & Market Research Platform
Survey platform for market researchers and businesses to build surveys and collect answers from a…
Next.jsReactNestJSTypeScript+5
Learning
Certifications
IBM Full-Stack JavaScript Developer Professional Certificate
IBM
Learned full-stack application development using JavaScript, React, Node.js, Express, databases, REST APIs, Git, Docker, testing, DevOps, and cloud deployment.
Agentic AI Engineering with LangChain & LangGraph
LangChain & LangGraph
Learned to build AI agents using LangChain and LangGraph, including tool calling, stateful workflows, RAG, memory, agent orchestration, prompt engineering, and LLM integration.
Let's Connect
Get in Touch
Open to new roles and project work. Use the form or reach me directly.
Manish Gandotra
AI Full Stack Engineer
Bangalore, India
Connect with me