Ayush Juvekar
Graduate Student in Computer ScienceSpecializing in Machine Learning, Computer Vision & Full-Stack Development
About Me
Education & Background
I'm a Computer Science graduate student at Michigan Technological University, expected to graduate in Spring 2026. With a strong foundation in Computer Engineering from Pune Institute of Computer Technology, I'm passionate about exploring cutting-edge technologies.
- •Michigan Technological University - M.S. Computer Science (2024-2026)
- •Pune Institute of Computer Technology - B.E. Computer Engineering (2019-2023)
Professional Interests
My research and professional interests span several cutting-edge domains in computer science. I'm particularly focused on:
- •Machine Learning & Computer Vision - Developing intelligent systems that can interpret visual data
- •Full-Stack Development - Building comprehensive web applications with modern frameworks
- •Edge Computing - Optimizing systems for real-time processing at the network edge
- •IoT Solutions - Creating interconnected device networks for smart applications
My Approach
I combine theoretical knowledge with practical implementation to solve complex problems. My approach involves continuous learning, collaborative development, and a focus on creating solutions that are not only technically sound but also user-centered. I'm dedicated to writing clean, efficient code and deploying robust systems that can scale with growing demands.
Professional Experience
Teaching Assistant
Assisting professors with course material preparation, grading assignments, and conducting lab sessions for undergraduate computer science courses.
Research Assistant
Worked on "Secure Data Analytics Module using Homomorphic Encryption" using Python Language, Pandas, NumPy, and Jupyter Notebook to develop privacy-preserving data analysis techniques.
Technical Skills
Languages
Projects
Anomaly Detection in Crowd Surveillance using Edge Computing
The aim is to create an optimized and efficient machine learning system to detect anomalies in real-time video surveillance feed by using Edge Computing and Neural Networks.
Carbon Monoxide Concentration Monitoring System for Automating Air Filters
Emerging Smart Computing and Informatics (ESCI), 2023 International Conference. The aim is to create an optimized and efficient machine learning system to detect anomalies in real time video surveillance feed by using Edge Computing and Neural Networks.
Particle Vibration Analysis System
Developed a computer vision system using ZED 2 stereo cameras and OpenCV to track particle movement on vibrating plate, while creating visualization tools for trajectory and velocity analysis. Designed a comprehensive 3D data pipeline, and applied statistical methods to correlate motion patterns with vibration frequencies for mechanical engineering research.
Ranking App
A tournament bracket creator tool that helps users create and manage brackets. Users input items to bracket, and the tool tracks selections and timing - longer decision times indicate closer matchups, which affects scoring. The final results are scaled to a 100-point system, making it easy to compare different items.
Yaycamp
A platform for discovering and sharing camping experiences. Users can browse camping locations, leave reviews, and connect with fellow outdoor enthusiasts.
BookApp
A full stack typescript app for tagging books into a personal library for reading reference. Involves use of ExpressJS, MongoDB and React for UI.
YelpCamp
A full stack web app for organizing camping activities for yourself and your friends. It uses ExpressJS framework along with numerous libraries for geolocation data, authentication, database management and MongoDB as database.
Awards & Honors
Contact Me
Feel free to reach out to me for any opportunities or collaborations.
aajuveka@mtu.edu+1 (906) 299 4314