13 projects — from agentic AI systems to reinforcement learning.
Reached 72.0% accuracy on OfficeQA in Sentient Labs Arena Cohort 0. Solo build, one 6.3 KB system prompt, no MCP servers, no custom agent code.
An NLP pronunciation coach that scores speech at the phoneme level and renders the learner's own voice in a target accent.
A PPO agent learns to play Pac-Man, then an RSSM world model learns to dream the game, and a dream agent learns to play entirely inside those dreams.
Multi-agent AI system using LangGraph and Claude for financial analytics and trade cost analysis.
Pool Apple Silicon Macs into a distributed ML training cluster with auto-discovery, adaptive compression, and thermal-aware scheduling.
Ask questions about your own documents and get answers, entirely offline. No cloud, no data leaving your machine.
Generative Adversarial Network trained on MNIST and deployed as a live demo on HuggingFace Spaces.
Custom GPT-style transformer trained from scratch on BookCorpus using Horovod across 4x H100 GPUs, from raw data to text generation.
A set of coding-agent skills for product decisions, reviewing existing work, and writing launch material.
A dashboard that combines live Bitcoin prices, time-series indicators, and summaries from a local language model.
A data science project studying qualifying performance and race outcomes using historical Formula 1 data.
A machine learning and deep learning application that identifies plant diseases from leaf images.
Web extraction and text analysis of healthcare articles, covering sentiment, readability, and linguistic complexity.