Innovative Agentic AI Engineer with 2 years of experience designing and developing intelligent AI applications using Large Language Models (LLMs), autonomous agents, Retrieval-Augmented Generation (RAG), and workflow orchestration frameworks. Skilled in building AI assistants, multi-agent systems, and enterprise automation solutions using Python, LangChain, LangGraph, and OpenAI APIs.

Expertise & skills

Programming Languages

PythonSQL

Agentic AI

LangChainLangGraphCrewAIAutoGen

Large Language Models

OpenAI GPT-4ClaudeGemini

RAG & Vector Databases

FAISSChromaDB

AI Technologies

Prompt EngineeringAgentic AIFunction CallingTool CallingSemantic SearchEmbeddings

Backend

FastAPIFlask

Databases

PostgreSQLMongoDB

Cloud & DevOps

AWS EC2AWS S3DockerGitGitHub

Selected projects

Technologies: LangGraph, OpenAI GPT-4, FastAPI, PostgreSQL

Designed agent workflows using LangGraph.
Integrated OpenAI GPT models for intelligent responses.
Built REST APIs using FastAPI.
Connected PostgreSQL for conversation history.
Optimized prompts for higher response accuracy.
Improved workflow latency through agent optimization.

Technologies: LangChain, OpenAI, FAISS

Created document ingestion pipeline.
Implemented embedding generation.
Integrated FAISS vector database.
Developed semantic search functionality.
Enhanced contextual response generation.

Technologies: Python, OCR, GPT-4, ChromaDB

Automated document extraction.
Implemented OCR processing.
Used GPT models for summarization.
Built document classification workflows.
Improved extraction accuracy through prompt optimization.

Core competencies

Autonomous AI Agent DevelopmentMulti-Agent Workflow DesignLLM IntegrationPrompt EngineeringRAG Pipeline DevelopmentAPI IntegrationAI AutomationProblem SolvingAgile DevelopmentTeam Collaboration