Headline

Generative AI Developer |Serving Notice Period | 4.6 years of Experience| Python, FastAPI, Microservices | RAG, Agentic AI - LangGraph, Multi-Agent System | Azure Cloud

About

Backend & Generative AI Engineer with 4.5 years of experience designing and building scalable, production-grade systems and intelligent AI applications. I started my career at Infosys Ltd , developing Python & FastAPI microservices with SQLAlchemy and MySQL, creating high-performance REST APIs, and designing GenAI chatbots using LangChain with RAG-based retrieval and multi-turn conversational memory and Langsmith for tracing and monitoring. I focused on backend architecture, API design, and optimizing AI workflows to deliver reliable, context-aware applications. Currently at Virtusa Ltd, I continue backend and GenAI development, using RAG(Retrieval-Augmented Generation) expanding into Agentic AI and multi-agent systems using Langgraph, integrating vector databases (Pinecone) for semantic search, and building robust Azure Data Factory (ADF) ETL pipelines for enterprise-scale data workflows. I design modular backend architectures with Python, FastAPI, SQLAlchemy, and T-SQL, ensuring performance, reliability, and maintainability, while applying CI/CD pipelines, Git/GitHub version control, and production support best practices. Passionate about combining robust backend engineering with cutting-edge Generative AI, I build systems that enable intelligent automation, context-aware conversational AI, and scalable enterprise solutions.

Location

Hyderabad

AI stack

gemini

hugging face

langchain

langgraph

Work experience

Generative AI Engineer at Virtusa, Mar 2025 - Present · 1 yr 4 mos, Hyderabad, Telangana, India, Owned end-to-end backend and Generative AI development using Python and FastAPI, architecting scalable microservices and high-performance REST APIs integrated with SQL databases (SQLAlchemy, T-SQL). Designed and optimized complex stored procedures, indexing strategies, and transaction workflows to support enterprise-grade production systems. Built and deployed RAG-based AI chatbots and LLM-powered applications using OpenAI, LangChain, LangSmith, and Pinecone, implementing embeddings, semantic search, multi-turn context handling, prompt optimization, and multi-agent orchestration (LangGraph) to deliver accurate, context-aware conversational solutions. Engineered Azure Data Factory (ADF) ETL pipelines for secure data ingestion from Azure Blob Storage to Azure SQL Database with automated scheduling, monitoring, and validation. Applied Git/GitHub version control and CI/CD best practices to streamline development and deployment, while driving performance optimization, debugging, and production support for scalable backend and AI systems.

Generative AI Engineer at Infosys, Dec 2021 - Mar 2025 · 3 yrs 4 mos, Hybrid, Worked in Infosys till March 2025 Worked as a Generative AI & Backend Developer, contributing to the design and development of scalable backend systems and AI-powered applications. Designed and developed RESTful APIs using Python and FastAPI, following clean architecture and modular design principles. Built and deployed a Generative AI chatbot leveraging RAG (Retrieval-Augmented Generation) architecture. Integrated the chatbot with a vector database to retrieve semantically relevant information for contextual responses. Implemented chat history management to enable context-aware multi-turn conversations. Took end-to-end ownership of backend API development, including requirement analysis, implementation, testing, and deployment. Worked with Kafka for event-driven communication and real-time data streaming. Used GitHub for version control, branching strategies, and collaborative development. Implemented CI/CD pipelines using Jenkins to automate build and deployment workflows. Collaborated cross-functionally as a key team member in delivering enterprise-grade GenAI solutions.

Python Developer at Infosys, Dec 2021 - Mar 2024 · 2 yrs 4 mos, Hyderabad, Telangana, India, Designed and developed scalable RESTful APIs using Python and FastAPI for enterprise-grade backend applications. Implemented modular architecture, dependency injection, and asynchronous endpoints to optimize performance and maintainability. Developed CRUD operations, request validation using Pydantic, and robust exception handling mechanisms. Integrated backend services with relational and NoSQL databases following clean architecture principles. Wrote unit and integration tests to ensure code reliability and high test coverage. Managed source code using Git and GitHub, following structured branching strategies (feature, develop, main). Conducted code reviews and maintained pull request workflows to ensure high-quality, production-ready code. Configured and maintained CI/CD pipelines using Jenkins for automated build, testing, and deployment processes. Monitored application logs in Openshift and debugged production issues to ensure system stability and performance. Collaborated in Agile/Scrum environments, participating in sprint planning, code reviews, and release cycles.

Education

Bachelor of Technology - BTech, Civil Engineering, SR Engineering College

diploma, Civil Engineering, vmr polytechnic college