LangGraph Developer with 4 years of experience delivering AI solutions for healthcare and life sciences. Experienced in building multi-agent applications, clinical document assistants, RAG pipelines, LLM orchestration, and intelligent workflow automation using LangGraph, LangChain, Python, and cloud technologies.
Expertise & skills
Selected projects
Clinical Knowledge Assistant
Built an AI assistant for clinicians to retrieve medical guidelines.
- Designed graph workflows for evidence retrieval and answer validation.
- Implemented semantic search with RAG.
- Integrated secure APIs for healthcare systems.
Patient Discharge Summary Generator
Developed AI workflows for generating discharge summaries.
- Created specialized agents for summarization and quality review.
- Reduced documentation time for healthcare staff.
Medical Research Automation Platform
Built an AI research assistant for medical publications.
- Automated literature search and summarization.
- Implemented multi-step reasoning using graph workflows.
Healthcare Document Intelligence
Designed AI pipelines for extracting structured data from medical records.
- Automated document classification and validation.
- Improved operational efficiency through workflow automation.
Ways of working
Certifications
- LangGraph Application Development
- Generative AI with Large Language Models
- Microsoft Azure AI Fundamentals (AI-900)
- Docker Essentials
Education
Bachelor of Engineering in Artificial Intelligence
CHARUSAT University
Achievements
- 4 years of LangGraph application development.
- Experience building healthcare AI solutions.
- Hands-on expertise in RAG and multi-agent systems.
- Strong Python and FastAPI development skills.
- Experience deploying AI solutions using Azure and Docker.
- Knowledge of secure enterprise AI architectures.
Similar engineers
Other Generative AI engineers with comparable experience.



