Headline

Python Developer / GenAI Developer @ Cognizant | LangChain · LangGraph · RAG · Azure OpenAI · FastAPI | Building AI Agents & LLM Apps | AWS Cloud | Open to Work

About

I'm a Python Developer / GenAI Developer specialising in backend engineering and AI-powered applications, currently building enterprise-scale systems at Cognizant. My day-to-day involves designing and shipping production-grade APIs with FastAPI, architecting RAG pipelines using LangChain and LlamaIndex, and integrating LLMs into real-world workflows via Azure OpenAI along with the Backend development. I care deeply about clean code, system performance, and building things that actually work at scale. What I've shipped recently: → An enterprise AI chatbot serving 100K+ users — built on a full RAG pipeline with pgvector semantic search, SQL tool integration, and grounded responses using organisational knowledge → A full-stack career development platform (FastAPI + Angular) with skill-gap analysis, personalised learning paths, and RBAC — including query optimisations that cut response times by 30% → A Human-in-the-Loop support agent using LangGraph agentic workflows with human approval gates for sensitive actions Familiar with the deployment of the applications as well. My core stack: Python · FastAPI · LangChain · LangGraph · Azure OpenAI · PostgreSQL · pgvector · Docker · AWS I'm passionate about the intersection of backend engineering and generative AI — specifically agentic workflows, RAG systems, and LLM evaluation. Always open to connecting with engineers working on similar problems. 📌 Portfolio: my-portfolio-bhm8.vercel.app 📧 kattaphanindra2@gmail.com

Location

Bengaluru

AI stack

claude code

claude

github copilot

hugging face

langchain

langgraph

Work experience

Junior Software Engineer at Cognizant, Jun 2025 - Present · 1 yr 5 mos, Bengaluru, Karnataka, India, Python Developer specialising in backend engineering and AI-powered applications, currently building enterprise-scale systems at Cognizant. My day-to-day involves designing and shipping production-grade APIs with FastAPI, architecting RAG pipelines using LangChain and LlamaIndex, and integrating LLMs into real-world workflows via Azure OpenAI. I care deeply about clean code, system performance, and building things that actually work at scale. What Ive shipped recently: → An enterprise AI chatbot serving 100K+ users — built on a full RAG pipeline with pgvector semantic search, SQL tool integration, and grounded responses using organisational knowledge → A full-stack career development platform (FastAPI + Angular) with skill-gap analysis, personalised learning paths, and RBAC — including query optimisations that cut response times by 30% → A Human-in-the-Loop support agent using LangGraph agentic workflows with human approval gates for sensitive actions My core stack: Python · FastAPI · LangChain · LangGraph · Azure OpenAI · PostgreSQL · pgvector · Docker · AWS I'm passionate about the intersection of backend engineering and generative AI — specifically agentic workflows, RAG systems, and LLM evaluation. Always open to connecting with engineers working on similar problems. 📧 kattaphanindra2@gmail.com

Education

Computer Science, Aditya Educational Institutions

Public links

github: https://github.com/Phanikatta