Headline

Software Engineer | Agentic AI • Generative AI • Multi-Agent Systems | Python • AWS • Azure | Building Enterprise AI Solutions

About

Software Engineer with 2+ years of experience specializing in Agentic AI, Generative AI, and cloud-native application development. Experienced in building intelligent systems using Large Language Models (LLMs), Multi-Agent Architectures, Retrieval-Augmented Generation (RAG), LangGraph, LangChain, AutoGen, Amazon Bedrock, Python, AWS, and Azure. Key Responsibilities & Expertise • Designed and developed Agentic AI and Generative AI solutions using LLMs, multi-agent architectures, and workflow orchestration frameworks. • Built intelligent applications leveraging LangGraph, LangChain, AutoGen, Google ADK, RAG, and Amazon Bedrock. • Developed multi-agent workflow automation platforms, AI-powered onboarding systems, and intelligent decision-support solutions. • Implemented AI Guardrails and Responsible AI controls, including prompt validation, content safety, policy enforcement, and input/output safeguards. • Designed and deployed cloud-native applications using Python, AWS, Azure, FastAPI, SQL, Lambda, DynamoDB, and API Gateway. • Collaborated with cross-functional teams to deliver scalable, secure, and enterprise-grade AI solutions aligned with governance and compliance requirements. Passionate about Agentic AI, Autonomous Systems, Enterprise Generative AI, Responsible AI, LLM Applications, and AI Engineering, with a strong focus on building intelligent systems that solve real-world business challenges and create measurable impact. Open to opportunities as an Agentic AI Engineer, Generative AI Engineer, AI Engineer.

Location

Bengaluru

AI stack

claude

hugging face

langchain

langgraph

Chroma

Guardrails AI

Work experience

Software Engineer at LTM, Sep 2024 - Present · 2 yrs 2 mos, Bengaluru, Key Contributions • Built enterprise-grade Agentic AI and Generative AI applications using LLMs, Multi-Agent Systems, RAG, Vector Databases, LangGraph, LangChain, AutoGen, Google ADK, and Amazon Bedrock. • Designed and developed Retrieval-Augmented Generation (RAG) applications and Knowledge Retrieval Systems, leveraging retrieval pipelines and vector-based search to enhance contextual responses and information access. • Developed intelligent workflow automation platforms, multi-agent onboarding systems, AI-powered travel planning solutions, and AI-driven decision-support applications. • Implemented Responsible AI, AI Guardrails, and governance controls using NVIDIA NeMo Guardrails, including content safety, prompt validation, policy enforcement, and input/output protection. • Developed scalable cloud-native applications and services using Python, FastAPI, SQL, AWS Lambda, DynamoDB, S3, API Gateway, Amazon Textract, AWS, and Azure. • Delivered AI solutions across Real Estate, Banking Fraud Detection, Enterprise Automation, Knowledge Retrieval, and Travel Planning domains. Key Skills Agentic AI • Generative AI • LLMs • Multi-Agent Systems • RAG • Vector Databases • LangGraph • LangChain • AutoGen • Google ADK • Amazon Bedrock • Prompt Engineering • AI Guardrails • Responsible AI • Guardrails • Python • FastAPI • SQL • AWS • Azure • Cloud-Native Development

Education

Bachelor of Engineering, Civil Engineering, JSS SCIENCE AND TECHNOLOGY UNIVERSITY

2nd PUC, PCMB, Seva Bharathi Pu College