Enthusiastic Agentic AI Engineer with 2 years of experience building autonomous AI systems for enterprise automation. Experienced in LangGraph, LlamaIndex, Model Context Protocol (MCP), Qdrant, OpenAI APIs, and Python. Skilled in designing AI agents capable of tool calling, workflow orchestration, document intelligence, and business process automation.

Expertise & skills

Programming

PythonSQLJavaScript

Agentic AI

LangGraphLlamaIndexMCP

LLMs

OpenAI GPT-4Anthropic Claude

Vector Databases

QdrantFAISS

Frameworks

FastAPIStreamlit

Cloud & DevOps

AWSDockerGitHub Actions

Databases

PostgreSQLMongoDB

Core Concepts

RAGTool CallingPrompt EngineeringAI WorkflowsFunction Calling

Selected projects

Technologies: LangGraph, GPT-4, Qdrant

Built a multi-agent financial research platform to analyze company reports and generate investment summaries.
Implemented retrieval pipeline using Qdrant for contextual answers.
Reduced manual research effort by 45%.

Technologies: LlamaIndex, FastAPI, OpenAI

Developed an AI solution to summarize legal contracts and identify important clauses.
Created document indexing and conversational search capabilities.

Technologies: MCP, Python, FastAPI

Integrated AI agents with enterprise tools using Model Context Protocol.
Automated ticket categorization and knowledge retrieval for support engineers.

Technologies: Python, GPT-4, PostgreSQL

Created an AI assistant to answer inventory queries and recommend stock replenishment.
Integrated SQL data retrieval with natural language interactions.