🎓 MS in Management Information Systems @ University of Illinois Chicago | BTech in Computer Science & Engineering @ Symbiosis International University, Pune
💼 Software Engineer Intern @ CrowdStrike | Ex-ZS Associates
⚙️ Passionate about AI/ML Engineering, Full-Stack Development, and Cybersecurity
🌎 Building, breaking, and securing things — one repo at a time
Hi, I’m Mahip — a builder who loves merging engineering precision with data-driven intelligence.
I enjoy solving real-world problems through clean code, scalable systems, and ML-powered solutions.
💡 Highlights
- 🚀 Delivered production-ready features during my internship at CrowdStrike, improving dashboard usability & frontend performance.
- 🧩 Developed prototypes for enterprise clients at ZS Associates, accelerating proof-of-concept delivery by 40%.
- 🧠 Published academic research on Graph Neural Networks for cybersecurity, achieving AUC 0.98 using GraphMAE + GraphGPS.
- 🌐 Experienced across the full stack — React / Next.js / Node.js on the frontend-backend, and Python ML pipelines for analytics.
| Project | Description | Tech Stack |
|---|---|---|
| GenUI | AI-powered UI generator using RAG to create responsive web components on the fly. | React, Next.js, TailwindCSS, LangChain, OpenAI API |
| GraphShield | Research project on malicious network traffic detection using Graph Transformers. | Python, PyTorch Geometric, GNNs |
| Trip&Treat | Travel discovery platform showcasing homestays, hotspots, and eateries. | Next.js, Supabase, TailwindCSS |
| IT Support App (TTMS) | Ticketing & troubleshooting platform with AWS-based auth and media upload. | Next.js, AWS Amplify, MongoDB |
- 🧩 Building AI-powered apps with React + Next.js + RAG
- 🧠 Exploring Graph Neural Networks for malware detection
- 💬 Enhancing open-source contributions (one PR at a time)
- 🧠 AWS Certified AI Practitioner – Amazon Web Services (2024)
- 📊 Tableau Data Visualization – UIC College of Business
- 💻 Full-Stack Developer Nanodegree (React + Node.js) – Udacity
- 🤖 Machine Learning Specialization – Coursera / Stanford University
“Code is like humor — when you have to explain it, it’s bad.”
— Cory House