Headline

Ex-Intern @ Intel & ISRO | Seeking SDE & GenAI Roles | RAG · LangGraph · ASP.NET · FastAPI | M.Tech CS @ SVNIT | Open to Work

About

From ISRO to Intel to building production-grade Generative AI systems — I’ve always been passionate about solving problems where strong engineering meets real-world impact. I specialize in building scalable AI applications, LLM-powered systems, RAG pipelines, AI agents, and full-stack platforms. My experience spans Generative AI, backend engineering, distributed systems, machine learning, and enterprise software development. Previously at Intel, I worked on enterprise-grade REST APIs using C# and ASP.NET Core serving 15+ internal teams, developed high-throughput ETL pipelines, and automated reporting workflows that reduced 20+ hours/week of manual effort. At ISRO, I developed a full-stack Chemical Inventory Management System supporting 50+ concurrent users and automated internal documentation workflows to improve operational efficiency. Currently, I’m focused on: • Generative AI & LLM Applications • Multi-Agent AI Systems • Retrieval-Augmented Generation (RAG) • LangChain & LangGraph • AI Agents & Automation • Full Stack AI Engineering • NLP & Machine Learning Some projects I’ve built include: → FinAgent AI — Multi-agent LLM platform for fraud detection, compliance validation, and AI-driven financial advisory using LangGraph + FAISS → DocMind — Enterprise RAG platform using FastAPI, React 19, Qdrant, JWT authentication, and GPT streaming → AI/ML Systems — EEG-based prediction systems, computer vision pipelines, and intelligent automation solutions Tech Stack: Python · Generative AI · OpenAI APIs · LangChain · LangGraph · RAG · FAISS · Qdrant · FastAPI · Machine Learning · NLP · C# · ASP.NET Core · Java · Spring Boot · React · Docker · SQL M.Tech in Computer Science @ SVNIT Surat | Ex-Intel | Ex-ISRO I’m actively exploring opportunities as a Generative AI Engineer, Applied AI Engineer, AI/ML Engineer, or Software Engineer where I can build impactful AI products at scale.

Location

Bengaluru

AI stack

antigravity

claude

langchain

langgraph

langsmith

claudecode

Work experience

Graduate Technical Intern at Intel Corporation, Jun 2025 - May 2026 · 11 mo, Bengaluru, Designed and developed enterprise-grade RESTful APIs using C# and ASP.NET Core, enabling secure and scalable access to GRC data across 15+ internal teams. Built and optimized high-throughput ETL pipelines with SSIS to efficiently ingest, transform, and integrate multi-source data into SQL Server for compliance and reporting needs. Delivered interactive Power BI dashboards to track real-time KPIs, reducing manual reporting effort by over 20 hours per week and enhancing organizational risk visibility and decision-making.

Research Intern at Space Applications Centre, ISRO, Dec 2022 - Apr 2023 · 5 mos, Ahmedabad, Led the end-to-end development of a Chemical Inventory Management System as the sole full-stack engineer, using Java Spring Boot and MySQL to streamline operations. Built secure and scalable RESTful APIs supporting 50+ concurrent users for real-time inventory tracking. Automated PDF document generation with the iText library, reducing manual effort by over 10 hours per week and ensuring standardized reporting across departments. Optimized SQL queries and backend business logic, improving system performance and boosting operational efficiency by 25% through faster response times and reduced database load.

Education

Master of Technology - MTech, Computer science and engineering, Sardar Vallabhbhai National Institute of Technology, Surat

Bachelor of Technology - BTech, Information Technology, Dharmsinh Desai University

Public links

github: https://github.com/jenish102002

leetcode: https://leetcode.com/jenish102002