Hetvi Master
@hetvimaster
I build backend, real-time, and agentic AI applications with Python, Node.js, LangGraph, and RAG.
What I'm looking for
I've built agentic AI applications with LangGraph and LangChain, including tool calling, memory management, RAG, MCP integration, and LangSmith observability.
I developed a full-stack e-commerce platform using Node.js, MongoDB, Prisma, and cloud deployment services, implementing authentication, product management, order processing, and database optimization. I also built a scalable real-time chat application with WebSocket-based communication and backend performance optimization.
I'm pursuing a B.Tech in Computer Engineering while building practical systems across backend engineering, distributed systems, cloud infrastructure, and AI workflows.
Experience
Work history, roles, and key accomplishments
AI & Agentic AI Expertise
Hetvi Master
Built AI applications using LangChain, LangGraph, LlamaIndex, and Haystack. Developed RAG systems and implemented tool-calling agents with observability.
Technical Skills
Hetvi Master
Proficient in programming, backend development, databases, cloud, DevOps, and generative AI technologies.
Real-Time Chat Application
Hetvi Master
Built a scalable chat platform with real-time messaging capabilities. Integrated WebSocket-based communication and optimized backend performance.
E-Commerce Platform
Hetvi Master
Developed a full-stack e-commerce application using Node.js, MongoDB, Prisma, and cloud deployment services. Implemented authentication, product management, and order processing.
AI Agent Systems
Hetvi Master
Built agentic AI applications using LangGraph and LangChain with tool calling, memory management, RAG, MCP integration, and observability using LangSmith.
Education
Degrees, certifications, and relevant coursework
Sarvajanik College of Engineering and Technology
Bachelor of Technology, Computer Engineering
Grade: 9.65 SPI
Currently pursuing a Bachelor of Technology in Computer Engineering, with a current SPI of 9.65 in the third semester.
Gujarat Technological University
Diploma, Computer Engineering
Grade: 9.72 CGPA
Completed a Diploma in Computer Engineering with a CGPA of 9.72.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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