AI Engineer with 4 years of experience designing enterprise AI solutions using Agentic AI, Large Language Models, Retrieval-Augmented Generation (RAG), and machine learning. Skilled in Python, LangGraph, AutoGen, FastAPI, Azure OpenAI, vector databases, and cloud-native deployments.
Expertise & skills
Core Skills
ProgrammingPythonSQLAgentic AILangGraphAutoGenTool CallingWorkflow OrchestrationGenerative AIAzure OpenAIPrompt EngineeringRAGSemantic SearchAI/MLScikit-learnPyTorchNLPBackendFastAPIREST APIsVector DatabasesMilvusFAISSCloudMicrosoft AzureDockerGitDatabasesPostgreSQLRedis
Selected projects
Legal AI Research Assistant
PythonLangGraphAzure OpenAIMilvus
Key Responsibilities
- Built a multi-agent legal research assistant.
- Implemented RAG for legal documents.
- Developed FastAPI endpoints.
- Integrated secure authentication.
Core competencies
Agentic AI DevelopmentSolution ArchitectureProblem SolvingCommunicationAgile MethodologyTeam Collaboration
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- LangGraph Fundamentals
- Generative AI Professional Certificate
Education
Bachelor of Technology (B.Tech) in Computer Science and Engineering
CHARUSAT University
- 2021
Graduation Year:
Achievements
- Reduced legal research time by 65%.
- Improved answer relevance.
- Manufacturing Predictive Maintenance AI
- Technologies: Python, PyTorch, Azure
- Key Responsibilities
- Developed predictive maintenance models.
- Created AI monitoring APIs.
- Automated maintenance alerts.
- Reduced equipment downtime.
- Improved maintenance planning.
- Healthcare Appointment Copilot
- Technologies: Python, AutoGen, FastAPI
- Designed AI agents for appointment scheduling.
- Integrated hospital knowledge base.
- Implemented conversational workflows.
- Reduced scheduling effort.
- Enhanced patient experience.
- Knowledge Management Platform
- Technologies: Python, FAISS, LangChain
- Built enterprise semantic search.
- Automated document indexing.
- Developed admin dashboard APIs.
- Improved information retrieval speed.
- Increased employee productivity.
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