Projects &
Experience
A curated showcase of my work across Generative AI, Full Stack Development, and Machine Learning. Each project represents innovative solutions to real-world challenges.
Generative AI
RAG, Agents, LLM Applications
Hi Nature Chatbot
AI-powered customer service assistant for Hi Nature Pet (pet food company). Handles order tracking, delivery updates, pet meal planning calculations, and FAQ responses. Integrated with Shopify storefront for real-time order data retrieval with context-aware conversation management.
In The Wild Chatbot
Research collaboration with University of Toronto Computational Social Science Lab. Built conversational AI system using ChatGPT and GPT-4o mini APIs for natural language processing, with Firestore and Firebase for real-time data persistence, TypeScript for type-safe development, and Swagger for API documentation.
Machine Learning
Research & Predictive Models
CSC413 Neural Networks Research Paper
Academic research paper for CSC413 (Neural Networks and Deep Learning) at University of Toronto. Explores advanced deep learning concepts and methodologies with theoretical analysis and experimental validation.
Predicting Students' Performance
Machine learning research project predicting student academic outcomes using ensemble methods. Implemented k-Nearest Neighbors (kNN), Item Response Theory (IRT), and neural autoencoders for feature extraction and prediction. Built data pipelines with NumPy, Pandas, and SciPy for preprocessing and analysis.
Full Stack Development
Web Applications & APIs
LunchME
Professional networking mobile app facilitating meaningful in-person connections. Built cross-platform features using React Native with Firebase backend, implemented Redux for state management, push notifications for real-time updates, QR code deep linking for seamless sharing, AppsFlyer for attribution tracking, and Azure CI/CD pipelines for automated deployments.
Scriptorium
A comprehensive full-stack platform for developers to create, share, and execute code collaboratively. Features multi-language code execution (Python, JavaScript, C++, Java), reusable templates, blog posts with comments and voting, JWT authentication, and admin content moderation.
Android Games Platform
Comprehensive Android gaming platform featuring three integrated mini-games: Tetris with dynamic acceleration and custom 7-piece generation algorithm, Rhythm Game with song-based and random difficulty modes, and Maze with recursive random generation. Includes REST API backend with Spring Boot for user authentication and competitive leaderboards.
Achievements
University of Toronto Scholar
Awarded for exceptional academic performance
Dean's List Scholar
Recognized for outstanding academic achievement
Certifications

AWS Certified Machine Learning Engineer - Associate
Amazon Web Services · 2025

AWS Certified Developer - Associate
Amazon Web Services · 2025

AWS Certified Cloud Practitioner
Amazon Web Services · 2025
AI for Medical Diagnosis
DeepLearning.AI & Coursera · 2026
Skills & Technologies
Programming Languages
Python
Java
JavaScript
TypeScript
C
C++
C#
Swift
SQL
R
CSS
Web Frameworks
React
Next.js
Node.js
Express
Streamlit
Flutter
AI/ML Frameworks & Libraries
PyTorch
TensorFlow
Keras
FastAPI
scikit-learn
LangChain
Cloud & DevOps
AWS
Azure
Docker
Vercel
Tools

Git
Figma
Postman
VS Code
Firebase
DBeaver
Jira