// about
Shivam Shetty
AI / Machine Learning Engineer
Building intelligent systems using machine learning, geospatial data processing, and scalable web applications.
Approach
I focus on building end-to-end AI systems, not just models. My work prioritises real-world constraints — latency, scalability, and deployment — over isolated benchmark performance.
- • Data → Model → API → Deployment pipelines
- • Edge + real-time inference systems
- • Production-first engineering mindset
Currently Building
Education
2023 – 2027
B.E. in Artificial Intelligence and Machine Learning
Shri Madhwa Vadiraja Institute of Technology
Udupi, Karnataka
Research
IEEE XPLORE · 2026
Enhancing STEAM Education Using Virtual Technologies: An Augmented Reality and Virtual Reality-Based Approach
Swasthik Yesh, Manvitha Ravi Salian, Shivam Shetty, Gowri Bhat
View paper →Philosophy
I prefer systems that ship over experiments that stay in notebooks.
- • Simple models deployed > complex models unused
- • Reliability > novelty
- • Iteration speed is a competitive advantage
Roles & Involvement
LEADERSHIP
Technical Lead
Aikya Club
Overseeing peer learning sessions, technical workshops, and student-led engineering events.
Highlights
2025
1st Place — MONAITHON Hackathon
JNNCE, Shivamogga
1st2025
Top-15 Finalist — IEEE Eu-Reka 2025
IEEE Pune Section
Top 152025
1st Place — Algorithm Roulette ML Competition
College Tech Fest
1st2025
1st Place — UI/UX Design Sprint
YUGMA TechFest, JNNCE
1st2025
3rd Place — HackYugma Hackathon
YUGMA TechFest, JNNCE
3rd2024
Best Project — Lost and Found Portal
SMVIT, First-Year Mini Project
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