Software engineer and machine learning practitioner.
Focused on computer vision, applied ML, developer tooling, and open-source systems across Python, PyTorch, Go, and Rust.

All Repositories

A selection of merged pull requests across core open-source infrastructure:

• Video Waste Dumping Detection (IWDD)
  Video classification pipeline developed for the international IWDD competition. Evaluates VideoMAE and X-CLIP architectures for automated surveillance and environmental monitoring.
  PyTorch PyTorch Lightning OpenCV VideoMAE

• Sudoku Solver CV Pipeline
  End-to-end vision pipeline that extracts Sudoku grids from arbitrary camera images using OpenCV perspective transforms, classifies handwritten/printed digits with a PyTorch CNN, and solves the board via constraint satisfaction.
  PyTorch OpenCV CNN Python

• GAN Architectures from Scratch
  Clean implementations of Vanilla GAN, Deep Convolutional GAN (DCGAN), and Conditional GAN (cGAN) on MNIST, CIFAR-10, and Fashion-MNIST with PyTorch Lightning and Hydra configuration.
  PyTorch Lightning Hydra Computer Vision

• Emotube — Sentiment Analysis Platform
  Full-stack web application for real-time sentiment analysis and opinion mining across YouTube comment threads. Features interactive charting, automated categorization, and sentiment aggregation.
  FastAPI React PostgreSQL Hugging Face Transformers

• Adaptive k for Dynamic Classifier Selection
  Empirical research studying the relationship between dataset complexity metrics and neighborhood size ($k$) in dynamic ensemble selection.
  scikit-learn DESlib Data Science

• Local RAG + Reranker
  Lightweight retrieval-augmented generation CLI running fully locally. Uses Ollama embeddings with HNSW indexing and optional FlagEmbedding cross-encoder reranking.
  Python Ollama HNSW Vector Search

• T5 Text Summarizer
  Abstractive text summarization fine-tuning T5-small on CNN/DailyMail and XSum datasets with ROUGE metrics evaluation and Gradio interface.
  Transformers PyTorch Gradio

• Repro Lens
  Static reproducibility checks and experiment verification for ML pipelines. Detects unseeded random generators, device non-determinism, and output drift across refactors without requiring heavy ML runtimes.
  Python AST Static Analysis pre-commit

• UsageTrim
  Local CLI and MCP tool for compacting verbose test runners (pytest, cargo, go test) and build logs into clean, noise-reduced outputs while preserving all failures and assertions verbatim.
  Python CLI MCP

• Maintainer Skills Lab
  Shared engineering utilities, AST analyzers, and diagnostic tools for automated code verification and pull request triage.
  Python AST Developer Tooling