Building at the intersection of intelligence and software.
I'm a Computer Science student at the University of Waterloo enrolled in the BCS Honours Co-op program (2025-2030). I've been writing software and training ML models for years before university, turning curiosity into real products.
My work spans full-stack systems, financial platforms, and a growing portfolio of 40+ machine learning models across regression, classification, deep learning, and computer vision.
Outside engineering, I coordinate volunteers for a large temple community events programme, balancing logistics, design, and people leadership.
University of Waterloo
BCS Honours Co-op, 2025 - 2030
Waterloo, Ontario
Open for Opportunities
Experience
Azure AI Intern
Microsoft × University of Waterloo
- Pursuing Azure Fundamentals and Azure AI Fundamentals certifications
- Applying Azure AI services and machine learning concepts to evaluate real-world use cases
- Using Design Thinking methodologies to identify user needs and architect scalable AI solutions
- Collaborating in an Agile team to deliver and present technical findings to mentors and industry leaders
Lead Developer
WealthWise
- Architecting full-stack financial web application from the ground up
- Built chatbot integration with real-time data APIs for portfolio insights
- Designed relational schemas and API layer using Supabase and SQL
- Established Git workflows, CI/CD pipelines, and code review processes
Technical Developer
Bhagyasri Stores
- Built and deployed customer-facing e-commerce platform with React and Node.js
- Implemented JWT authentication and role-based access control
- Designed REST APIs consumed by web and mobile clients
- Integrated real-time inventory management with NoSQL data sync
Projects
Machine Learning Portfolio
An evolving collection of 40+ ML models spanning classical statistics to modern deep learning, built to deepen intuition across the full algorithmic spectrum.
- Regression, classification, and clustering with rigorous evaluation
- KNN, SVM, Decision Trees, and Random Forest implementations
- Custom CNNs, RNNs, and LSTM architectures from scratch
Deep Learning Image Classifiers
Production-quality computer vision pipelines for medical and consumer image classification, using transfer learning and custom CNN architectures.
- Cats vs Dogs classifier achieving high accuracy on benchmark datasets
- Brain Tumor MRI detection using fine-tuned ResNet architecture
- Skin cancer classification with VGG16 transfer learning baseline
Azure AI Intern - WE Accelerate Program
A Microsoft × University of Waterloo work-integrated learning program focused on cloud and AI fundamentals through a team based projects.
- Pursuing Azure Fundamentals and Azure AI Fundamentals certifications through hands-on cloud labs
- Applying Design Thinking to scope an AI-driven solution for a real business problem
- Working in an Agile team to design, evaluate, and present a scalable architecture to industry mentors
WealthWise Financial Platform
Full-stack financial web application with AI chatbot integration for portfolio insights, built from zero as lead developer at an early-stage startup.
- Real-time financial data APIs with structured SQL schema design
- Integrated AI chatbot for natural-language portfolio queries
- Implemented CI/CD pipeline and Git workflow for the team
Bhagyasri Stores E-Commerce
Full-featured e-commerce platform with real-time inventory, secure authentication, and a REST API consumed by web and mobile clients.
- JWT authentication with role-based access control
- Real-time inventory sync between web and backend
- RESTful API design with documented endpoints
Machine Learning Portfolio
An evolving collection of 40+ ML models spanning classical statistics to modern deep learning, built to deepen intuition across the full algorithmic spectrum.
- Regression, classification, and clustering with rigorous evaluation
- KNN, SVM, Decision Trees, and Random Forest implementations
- Custom CNNs, RNNs, and LSTM architectures from scratch
WealthWise Financial Platform
Full-stack financial web application with AI chatbot integration for portfolio insights, built from zero as lead developer at an early-stage startup.
- Real-time financial data APIs with structured SQL schema design
- Integrated AI chatbot for natural-language portfolio queries
- Implemented CI/CD pipeline and Git workflow for the team
Azure AI Intern - WE Accelerate Program
A Microsoft × University of Waterloo work-integrated learning program focused on cloud and AI fundamentals through a team based projects.
- Pursuing Azure Fundamentals and Azure AI Fundamentals certifications through hands-on cloud labs
- Applying Design Thinking to scope an AI-driven solution for a real business problem
- Working in an Agile team to design, evaluate, and present a scalable architecture to industry mentors
Deep Learning Image Classifiers
Production-quality computer vision pipelines for medical and consumer image classification, using transfer learning and custom CNN architectures.
- Cats vs Dogs classifier achieving high accuracy on benchmark datasets
- Brain Tumor MRI detection using fine-tuned ResNet architecture
- Skin cancer classification with VGG16 transfer learning baseline
Bhagyasri Stores E-Commerce
Full-featured e-commerce platform with real-time inventory, secure authentication, and a REST API consumed by web and mobile clients.
- JWT authentication with role-based access control
- Real-time inventory sync between web and backend
- RESTful API design with documented endpoints
Leadership, beyond
the keyboard.
For over five years I've coordinated volunteers at Karya Siddhi Hanuman Temple, organizing events that bring hundreds of people together. It taught me that good systems are as much about people as they are about code.
Get in touch
Let's buildsomething.
Open to co-op placements, project collaborations, and conversations that lead somewhere interesting.