Generative AI Developer with 2 years of experience building intelligent applications using LangGraph, LangChain, Python, and LLMs. Experienced in developing multi-agent workflows, RAG pipelines, workflow orchestration, and AI automation solutions with REST API integrations.
Expertise & skills
Selected projects
1. Enterprise Knowledge Assistant
Developed an enterprise AI assistant that answered questions from company documentation using RAG.
Responsibilities
- Designed graph-based agent workflows.
- Integrated Pinecone vector search.
- Implemented document ingestion pipelines.
- Built FastAPI endpoints.
- Optimized prompt templates.
2. Email Automation Agent
Built an AI agent to classify emails, generate replies, and assign priorities.
Responsibilities
- Created routing logic with LangGraph.
- Integrated email APIs.
- Implemented human approval workflow.
- Improved response consistency.
3. Contract Review Assistant
Created an AI solution to summarize contracts and identify important clauses.
Responsibilities
- Built document parsing pipeline.
- Implemented semantic retrieval.
- Generated clause summaries.
- Validated AI outputs.
4. AI Research Workflow
Designed a multi-step research assistant for collecting, summarizing, and organizing information.
Responsibilities
- Created planner and researcher agents.
- Managed workflow states.
- Generated structured reports.
- Enhanced execution reliability.
Ways of working
Certifications
- Generative AI with LangChain
- Python Programming Professional
- LLM Application Development
Education
Bachelor of Technology in Information Technology
Parul University
Similar engineers
Other Generative AI engineers with comparable experience.



