Full-Stack Software Engineer • Applied AI • Toronto, Canada 🇨🇦
- Full-Stack Software Engineer building production SaaS systems end-to-end.
- Strong focus on backend, APIs, data pipelines, and system reliability.
- Background in Applied Machine Learning and Computer Vision
(M.Sc., Concordia University | CENPARMI Lab).
Interests: scalable architectures, clean code, CI/CD automation, AI-enabled product features.
Backend & APIs
- Java (Spring Boot), Node.js (Express), Python
- RESTful APIs, microservices, Kafka
- PostgreSQL, SQL Server
Frontend
- TypeScript, React, React Native, Tailwind CSS
Machine Learning & AI
- Applied ML, model integration, inference pipelines
- TensorFlow, PyTorch, scikit-learn, NumPy, Pandas
- Computer Vision, time-series data, evaluation workflows
DevOps & Infrastructure
- Docker, GitHub Actions, CI/CD pipelines
- Linux, Git, production deployments
- 🧠 Applied ML / CV | transfer learning, time-series classification, model evaluation
- ⚙️ Backend systems | APIs, database design, performance and reliability patterns
- 🧩 Full-stack features | real UI workflows with backend integrations
📌 See pinned repositories below for representative projects.
- 💼 Full-Stack Software Engineer at EnerZam
- 📍 Toronto, Canada
- 🎓 M.Sc. in Computer Science at Concordia University
- 🔬 Former Graduate Research Assistant at CENPARMI Lab
I’ve contributed as a Web Developer to multiple TEDx events, building and maintaining event websites used by organizers, speakers, and attendees.


