const sapandeep = {
role: "Ex-swe intern Morgan Stanley",
education: "B.E. Computer Science and Business Systems, JSS STU",
focus: ["LLM agents", "MCP", "RAG", "full-stack products", "automation"],
stack: ["TypeScript", "JavaScript", "Python", "Java", "Angular", "React", "Spring Boot", "FastAPI"],
wins: "7+ hackathon wins, including Code to Give, CodeRed, and Campus Shark Tank",
style: "Build fast, test hard, automate the boring parts"
};I like turning messy workflows into polished software: AI command layers, hiring platforms, proctoring tools, QA automation, dashboards, and utilities that save real time.
| Enterprise AI | Built AI-assisted workflows with MCP, RAG, LLM agents, tool-call guardrails, and natural-language automation. |
| Full-stack engineering | Worked across Angular, TypeScript, Java, Spring Boot, FastAPI, REST APIs, JSON, and XML modernization. |
| Testing systems | Migrated Angular testing from Jasmine/Karma to Vitest and pushed coverage from 0% to 90%+. |
| Developer automation | Used Playwright + MCP patterns to turn natural-language QA flows into repeatable browser tests. |
|
AI hiring and interview simulation platform built with React and Gemini API. Runner-up at CodeRed National Hackathon. |
AI proctoring system using Flask, React, and OpenCV for face, multi-person, and suspicious-object detection. |
|
JavaScript chat application deployed on Render. |
Web app experiment focused on accessible, helpful user flows. |
| Project | Stack / Signal | Links |
| GetMePlaced | React, Gemini API, AI interview simulation, CodeRed runner-up | Repo - Live |
| ProcX | Flask, React, OpenCV, AI proctoring, Campus Shark Tank winner | Repo |
| Image Compression using PCA | Python, PCA, applied math, image processing | Repo |
| Finance Tracker | HTML, Python, personal finance workflow | Repo |
| 4shop Smartcart | JavaScript, shopping/cart experience | Repo |
| Public repositories | 18 |
| Main languages | TypeScript, JavaScript, Python, Java, HTML, CSS |
| Strongest lane | AI-assisted full-stack systems with automation-heavy engineering |
| Currently sharpening | LLM agents, MCP workflows, RAG reliability, test automation, system modernization |
- Software Engineering Intern at Morgan Stanley, working on enterprise AI systems and developer automation.
- Winner of Morgan Stanley Code to Give among 6,000+ participants.
- Runner-up at CodeRed National Hackathon for GetMePlaced.
- 1st place at Campus Shark Tank for ProcX.
- Selected to present an MCP-backed trade exception dashboard at Morgan Stanley Global Tech Expo.
- Vice Chairman, Computer Society of India, organizing coding competitions and technical workshops.
