Headline

Senior Software Engineer | Agentic AI & RAG | GenAI/LLM Applications | Multi-Agent Orchestration | LangGraph | CrewAI | LangChain | MCP | Python

About

AI Engineer (GenAI | Agentic AI | RAG) Currently working as an AI Engineer, building enterprise-grade Generative AI systems with a strong focus on Agentic AI, autonomous AI agents, multi-agent systems, and Retrieval-Augmented Generation (RAG). • Delivered production-ready GenAI solutions with measurable business impact across knowledge automation and intelligent workflows. • Improved retrieval accuracy by 30%+ by designing optimized RAG pipelines using LangChain, OpenAI embeddings, and vector databases (Pinecone, ChromaDB). • Built autonomous and multi-agent architectures using CrewAI, LangGraph, and MCP, achieving ~60% reduction in manual operational effort through intelligent task orchestration. • Developed an AI-powered HR Knowledge Assistant that reduced repetitive HR queries by 40%, improving self-service and response efficiency. • Strong expertise in LLM evaluation, observability, and quality control, using LangSmith for hallucination detection, response benchmarking, latency analysis, and continuous improvement. • Production-focused mindset with hands-on experience delivering API-first GenAI services, containerized deployments, CI/CD pipelines, and scalable inference systems using FastAPI/Flask and Docker. Core Expertise: Generative AI, GenAI Engineer, Agentic AI, AI Agents, Autonomous Agents, Multi-Agent Systems, RAG, Retrieval-Augmented Generation, LLM Orchestration, Prompt Engineering, Embeddings, Vector Search, LangChain, LangGraph, CrewAI, LangSmith, OpenAI API, Anthropic, Hugging Face, Pinecone, ChromaDB, FastAPI, Docker, Production GenAI

Location

Bengaluru

AI stack

langchain

langgraph

langsmith

openai

Work experience

Senior Software Engineer at Visionet Systems Inc., Jan 2026 - Present · 6 mos

Senior Associate Developer at IG Group, Oct 2025 - Jan 2026 · 4 mos, • Building production-grade Generative AI solutions using Agentic AI, autonomous agents, multi-agent systems, and RAG for real-world business workflows. • Developing AI agent frameworks with LangChain, LangGraph, CrewAI, and AutoGen, enabling planning, tool calling, memory, and multi-step reasoning. • Implementing end-to-end RAG pipelines with embeddings, vector databases, semantic search, and contextual retrieval. • Integrating and optimizing LLMs (GPT-4, Llama-2, Mistral, open-source models) for scalable, cost-efficient GenAI applications. • Delivering AI agents, and intelligent automation platforms with strong focus on LLMOps, monitoring, and production reliability.

Associate Developer at IG Group, Sep 2024 - Jan 2026 · 1 yr 5 mos, • Enhanced Performance with Redis: Implemented Redis as a caching layer, significantly reducing database load and improving application responsiveness. • Streamlined Development with Docker and Spring Boot: Utilized Docker for containerization and Spring Boot for building RESTful APIs, accelerating integration and development processes. • Developed API Auditing Utility: Designed and implemented a utility to log API requests and responses, leveraging Kafka for efficient auditing and data traceability. • RESTful Services Development: Built and optimized RESTful web services using Spring Boot, enabling seamless integration across multiple systems and improving data flow efficiency. • Tools and Technologies: Proficient in Maven, Hibernate, and Postman for testing, with a strong focus on system reliability and scalability.

Graduate Engineering Trainee at IG Group, Sep 2023 - Aug 2024 · 1 yr, • Database Design & Optimization: Designed and optimized database schemas and queries to enhance application performance and scalability. • Robust Backend Deployment: Deployed secure and reliable backend solutions on WebLogic servers, ensuring alignment with stakeholder requirements and business objectives. • API Performance Enhancement: Improved API performance by analyzing bottlenecks, optimizing database queries, and minimizing payload sizes, resulting in reduced processing time and improved efficiency. • Efficient API Pagination: Implemented API pagination to handle large datasets, reducing load times by approximately 30%. • Advanced Data Manipulation: Leveraged Java 8's Stream API for efficient processing of large data collections, enabling faster data manipulation and filtering. • Centralized Authentication & Security: Configured LDAP for centralized authentication and authorization, increasing compliance with organizational security policies by 85%. • Technical Expertise: Proficient in Maven, Hibernate, Swagger (for API documentation), and Postman (for API testing). Skilled in front-end integration with Angular and applying Design Patterns to improve code quality and maintainability.

Software Engineer at BETSOL, Feb 2023 - Mar 2023 · 2 mos, On-site

Frontend Developer at ProCollab Technologies, Oct 2022 - Oct 2022 · 1 mo

Software Engineering at BETSOL, Aug 2022 - Sep 2022 · 2 mos, Bengaluru, Karnataka, India

Education

Bachelor of Engineering - BE, Information Technology, Sjb institute of technology