BSc Computer Science • Western University (2023–2027)
Ideas in. Software out.
I build automation-first software and developer tools—shipping products that reduce manual work, improve reliability, and move fast from prototype to production.
Projects
Selected projects with measurable outcomes.
ClimateCode.io — GPT-powered Code Analysis CLI
Built a GPT-powered CLI that analyzes Python code via AST parsing. Improved runtime by 17% and designed a modular plugin architecture for extendable quality checks.
Geospatial AI for Disaster Mitigation
Trained a CNN to predict landslide risk zones and built a Flask dashboard for real-time inference. Reduced emergency alert response time by 20% via an automated prediction pipeline.
Smiley — Mood & Productivity Prediction App
Built a cross-platform Flutter app that predicts mood/productivity with 82% accuracy. Integrated Firebase for auth, real-time storage, and analytics.
Fake News Detector
Built a TF-IDF + Logistic Regression pipeline achieving 91% precision / 87% recall. Presented the project’s design and ML pipeline at Microsoft Toronto.
Blogs
Writing that reflects how I think — ML, systems, and real-world applications.
Uncovering the Surprise Response
Using machine learning to analyze EEG data and explore how the brain reacts to unexpected stimuli.
Solving the Education Crisis Using Brain–Computer Interface
A BCI-driven approach to learning and accessibility—where neuroscience meets practical education outcomes.
Using ML in Personality Analysis
How ML can model behavioral traits—plus the tradeoffs, bias risks, and limits.
ML Can Help Detect Fake News (and this isn’t fake news)
How misinformation detection works, what features matter, and where models fail in the real world.
A Crossover Between AI and Advertising
Where AI helps in marketing—targeting, measurement, creative iteration, and personalization.
A Quick Review of Deep Neural Networks
A practical overview of deep neural networks—what they do well and what to watch out for.
Experience
Work across product, automation, and execution.
- Built internal analytics dashboards using JavaScript, Python, and Firebase to track user engagement and product metrics.
- Implemented A/B testing infrastructure with custom event logging, improving conversion rates by 15%.
- Developed reusable front-end components for student-facing pages using HTML/CSS/JavaScript.
- Delivered 4+ technical consulting projects focused on API integrations, automation engineering, and CRM architecture.
- Developed workflow automations using Notion API, Airtable API, and Zapier, reducing admin workload by 50%.
- Built Python scripts and webhook-triggered pipelines to sync data across internal systems.
- Engineered Shopify ecommerce platform using Liquid, JavaScript, and HTML/CSS for 200+ medical SKUs.
- Built automation pipelines using Zapier, Apps Script, and Python to sync orders, inventory, and analytics, cutting operations time by 40%.
- Integrated Amazon Seller Central APIs, automating product listings and increasing marketplace revenue by 3x.
- Built internal tools for catalog optimization and metadata generation using Python.
- Led technical execution of FAANG Day and IBM Night, organizing workshops on AI, cloud computing, and software engineering.
- Implemented automation scripts for event scheduling, registrations, and logistics using Notion API.
- Partnered with IBM and Deloitte engineers to deliver hands-on technical sessions.
Skills
Contact
If you’re hiring or want to collaborate, email is the fastest way to reach me.