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My work sits at the intersection of LLMs, Computer Vision, and Reinforcement Learning — I design agents that reason, plan, see, and act with autonomy. I have worked across the stack: transformer models and RAG pipelines, ROS2 robotics systems, CV model training, and hybrid RL + search algorithms. I care about engineering that is clean, scalable, and grounded in real research. Currently exploring — how search, reinforcement learning, and transformers combine into something greater than their parts. |
resting at the bench |
sealed vessels — the work worth opening first
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A patent-inspired hybrid engine fusing Minimax, MCTS, and deep evaluation networks in C++.
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Reinforcement learning chess engine pairing policy/value networks with Monte Carlo Tree Search.
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YOLO + OpenCV pipeline detecting animals live from CCTV streams — built for safety monitoring and rapid alerting.
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Hybrid CNN + BiLSTM + GRU model for time-series forecasting, capturing local patterns and long-range dependencies.
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⟡ Languages
⟡ Frameworks
⟡ Tools & Platforms
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⟡ RELICS OF THE HUNT ⟡
⟡ TRAILS WALKED ⟡
◆ Full metrics — click to expand
notes → documentation → experiments → deployment
◆ My research & documentation workflow
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⬦ Hallownest awaits ⬦