Medical Student | Software Engineer

github: @thavlik
email: thavlik [at] protonmail (dot) com

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Multiplayer Doom in the browser.

A comprehensive platform for playing custom Doom WADs, both single player and with your friends. The WAD Browser boasts unprecedented visibility into the multi-terrabyte corpus of custom Doom content. Massively scalable. No account required.

Synapse

closed-source

AI-native LMS. Working title.

A modern Learning Management System (LMS) that prioritizes curriculum visibility, institutionally aware AI assistance, and streamlined workflows for educators and learners alike. Robust telecommunications features reduce user friction while formal logic-based tooling guarantees AI correctness via direct citations into the curriculum.

Closed-source project — media and details available on request.

seer

closed-source
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Hybrid neural/keyword search engine

A multimodal search engine that blends neural and "old school" keyword approaches for robustness and predictability. Compatible data spans the gamut of medical school curriculum: slideshows, PDFs, videos, images, Anki decks, and more. Designed for high-throughput / low-latency use by both humans and AI agents.

Closed-source project — media and details available on request.

TesseraDB

open-source

Soft real-time vector database engine with explicit geometric topology.

A highly performant vector database engine that treats geometry as a first-class concept. It emphasizes explicit topology to make spatial relationships queryable, explainable, and stable under incremental updates.

strim

open-source
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Scalable live stream infrastructure

Distributed, fault-tolerant, HLS broadcasting infrastructure built with operational reality in mind: resiliency, horizontal scale, and clean primitives for orchestration and recovery.

AI portfolio

open-source / legacy
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My older portfolio of machine learning projects, representative of earlier work and experiments. It's a useful snapshot of prior approach and problem framing, even if the implementation style is "of its era."

e-Shadow

open-source / legacy
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Physician shadowing, enhanced.

A proof-of-concept platform integrating multiple emergent technologies to maximize the medical e-Shadowing experience. Features include real-time transcription, "medically aware" keyword extraction, and automatic reference material retrieval. Inspired during the COVID-19 pandemic to facilitate remote clinical education.