Profile
Adityan Thirumani Srinivasan
Computer Science Student at UW-Madison
Madison, Abu Dhabi, and beyond
Adityan Thirumani
Srinivasan.
I'm a Computer Science student at UW–Madison who enjoys turning ideas into real products. I've built productivity tools used by 700+ users, led teams in robotics and software development, conducted AI research in computer vision, and competed nationally in both chess and robotics.
Snapshot2026
- - Computer Science student at UW–Madison
- - Built productivity applications and browser tools used by 700+ users
- - Finalist in the Create Apps Championship for The best youth category (Top 12 of 4,800+ teams)
- - AI researcher focused on computer vision and applied machine learning
700+
Users
25+
Interns Led
About Me
Profile
Adityan Thirumani Srinivasan
Computer Science Student at UW-Madison
Education and Leadership
I am currently studying Computer Science at the University of Wisconsin-Madison after graduating from Mayoor Private School in Abu Dhabi, where I served as Robotics Team Lead and President of the Math Club.
Current Focus
I enjoy building products that solve everyday problems. Most of my work today involves productivity software, browser tools, and applied AI projects that people can actually use.
PythonFlutterJavaMySQLAI Research
Abu Dhabi / Madison
Computer science student
What Drives Me
I’m driven by the process of turning ideas into working systems. I enjoy building software that solves real problems, especially in productivity, AI, and applied machine learning. Most of my work starts with curiosity and ends with something people can actually use.
Selected work
Featured Projects
built and deployed applications
01Mobile App
ProAct+
AI-assisted anti-procrastination mobile application built with Flutter and Supabase.
02AI Research
HybridEnhancementNet
AI research project focused on enhancing robotic vision in low-light environments by integrating Zero-DCE and CIDNet architectures.
03Browser Extension
FocusForge
Chrome extension for focus mode, site blocking, and usage analytics that includes real-time tracking & AI-powered suggestions.
04AI Model
NeuroMedic
Deep learning system for brain tumor prediction using CT and MRI data achieving 96% accuracy.
Core strengths
Skills Overview
Programming
Building applications across mobile, desktop, and AI workflows.
- - Python
- - Flutter
- - Java
- - MySQL
Design
Turning ideas into polished interfaces and product visuals.
- - HTML
- - CSS
- - Figma
- - Adobe Photoshop
AI Research & Product Development
Combining machine learning, experimentation, and leadership.
- - Deep learning & computer vision
- - Productivity and scheduling systems
- - End-to-end product development & deployment
Python
Flutter
Java
MySQL
HTML
CSS
Figma
Adobe Photoshop
PyTorch
Product Strategy
Python
Flutter
Java
MySQL
HTML
CSS
Figma
Adobe Photoshop
PyTorch
Product Strategy
Python
Flutter
Java
MySQL
HTML
CSS
Figma
Adobe Photoshop
PyTorch
Product Strategy
Python
Flutter
Java
MySQL
HTML
CSS
Figma
Adobe Photoshop
PyTorch
Product Strategy
Python
Flutter
Java
MySQL
HTML
CSS
Figma
Adobe Photoshop
PyTorch
Product Strategy
Python
Flutter
Java
MySQL
HTML
CSS
Figma
Adobe Photoshop
PyTorch
Product Strategy
Python
Flutter
Java
MySQL
HTML
CSS
Figma
Adobe Photoshop
PyTorch
Product Strategy
Python
Flutter
Java
MySQL
HTML
CSS
Figma
Adobe Photoshop
PyTorch
Product Strategy
Career Highlights
A concise view of my academic path, experience, research and programs.
Education
Fall 2026 - 2030
UW–Madison
BSc in Computer Science
Currently studying Computer Science while building AI-powered products and applied machine learning systems.
Apr 2022 - Feb 2026
Mayoor Private School
High School Diploma (Abu Dhabi)
Served as Robotics Team Lead and President of the Math Club, leading technical and competitive initiatives.
June 2025 - Aug 2025
Harvard Summer School
Kali Linux + Python (Abu Dhabi)
Completed coursework with high distinction (Ethical Hacking: 97.2%, Python: 98.7%).
Experience
May 2024 – April 2026
Zeriux Labs
Co-Founder & CEO
Leading development of ProAct+, ProSync+, and FocusForge, productivity and AI tools used by 700+ users. Managing product strategy, engineering workflows, and a 25+ member intern team across full lifecycle from ideation to deployment.
Oct 2024 – Mar 2025
Dyne Research
AI Intern (Abu Dhabi)
Developed NeuroMedic, a deep learning system for brain tumor prediction using CT/MRI scans, implementing CNN architectures and medical imaging pipelines, achieving 96% accuracy.
Programs & Research
Oct 2024 – Dec 2024
ThinkingBeyond (BeyondAI Program)
AI Researcher
Built a Dynamic Graph Neural Network (DGNN) for satellite collision detection using PyTorch Geometric and SGP4 orbital data, achieving 1.0 F1-score and an accuracy of 99% on anomaly prediction tasks.
Nov 2024 – Feb 2025
Cambridge Centre for International Research (Future Scholars Program)
AI Researcher
Developed HybridEnhancementNet for low-light image enhancement by combining Zero-DCE and CIDNet, achieving SOTA results on LOL dataset with a PSNR of 27.46 dB and SSIM of 0.956, outperforming existing methods.
June 2025 – Aug 2025
Harvard Venture TECH Program
AI Intern
Built Ventra-AI, a Flask-based ML system for wind turbine power prediction using Random Forest, with a production-ready pipeline and R² score of 0.9927.
Sept 2024 – Nov 2025
New York Academy of Sciences
Team Lead
Led development of a deepfake detection system using MobileNetV2 and TensorFlow, training on 140K+ images and achieving 95% accuracy with data augmentation and transfer learning.