Complete Index

Projects

Production-minded systems work, interface experiments, machine learning projects, and generative tools collected as case studies.

Published Work

Latest: Present

Deep Concept Model (DCM)
Independent Research Proposal
A proposed neuro-symbolic AI research programme for building a formal concept algebra over mathematics, using dependent type theory, Lean 4, Mathlib, ontology graphs, hyperbolic embeddings, and verified concept generation to explore reasoning beyond natural language.
March 2026 — Present
- research
- neuro-symbolic-ai
- knowledge-representation
- ontology
- type-theory
- lean4
- mathlib
- theorem-proving
- concept-generation
- ai-for-mathematics
- compositional-reasoning
CollectLite
Personal Project
A lower-scale human-data collection and model-evaluation platform inspired by public evidence about Cohere's Collect / Human Data tooling. The system lets project owners upload datasets, create annotation tasks, use model-in-the-loop suggestions, collect human feedback, resolve disagreement, monitor data quality, and export training/evaluation-ready datasets.
April 2026 — April 2026
- full-stack
- internal-tools
- human-data
- annotation-platform
- model-evaluation
- llmops
- nextjs
- typescript
- react
- fastapi
- python
- postgres
- cohere
- docker
GitHub →
Video Virality Predictor
Western AI
A multimodal YouTube Shorts forecasting platform that collects short-form video data, generates video/audio/text embeddings, fuses modalities, trains leakage-resistant predictors, and serves 7-day and 30-day view forecasts through a conference-demoed web application.
October 2025 — March 2026
- machine-learning
- multimodal-ai
- forecasting
- youtube-shorts
- aws-s3
- pytorch
- scikit-learn
- nlp
- computer-vision
- audio
GitHub →
Predicting Online Shoppers’ Purchasing Intention
Western University
An end-to-end supervised machine learning pipeline for predicting purchase intent across 12.3K e-commerce sessions using behavioral feature engineering, leakage-safe preprocessing, class-imbalance-aware evaluation, and tuned linear, tree-based, and ensemble classifiers.
October 2025 — November 2025
- machine-learning
- data-science
- classification
- ecommerce
- feature-engineering
- scikit-learn
- xgboost
- random-forest
- logistic-regression
- model-evaluation
GitHub →
Building a GPT-Style LLM from Scratch
Personal Project
A ground-up PyTorch implementation journey for understanding GPT-style language models, covering tensor operations, autograd, neural network training loops, tokenization, byte-pair encoding, embedding construction, positional embeddings, causal self-attention, and multi-head attention.
April 2025 — May 2025
- machine-learning
- deep-learning
- llm
- transformer
- gpt
- pytorch
- tokenization
- embeddings
- attention
- neural-networks
- nlp
GitHub →

Projects

Deep Concept Model (DCM)

CollectLite

Video Virality Predictor

Predicting Online Shoppers’ Purchasing Intention

Building a GPT-Style LLM from Scratch