Summary
Overview
Work History
Education
Skills
Hobbies and Interests
Timeline
Generic

Mihaly Torok

Budapest

Summary

Senior AI Engineer and Team Lead with 5+ years of hands-on experience in LLMs, Computer Vision, and MLOps. Proven track record leading AI projects across sports analytics, healthcare, and quantitative finance. Skilled in building and deploying real-time AI systems on large datasets, with expertise in PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy. Passionate about scaling AI solutions from research to production.

Overview

6
6
years of professional experience

Work History

AI Engineer, Team Lead

ShotQuality
New York
09.2022 - Current
  • Led development of a Large Language Model for real-time injury detection in Baseball, Tennis, American Football, and Basketball; DraftKings and FanDuel adopted the solution due to its industry-leading, low-latency.
  • Built a computer vision model for live American Football player tracking, enabling real-time tactical insights and betting hedge.
  • Scaled multi-sport AI pipelines from 600 to 20,000 games per year across the NCAA, NFL, MLB, NBA, and international leagues and Tennis tournaments.
  • Designed and deployed ML Ops workflows, integrating automation, cloud scalability, and workflow optimization.

Quantitative Researcher

WorldQuant
Budapest
04.2023 - 02.2024
  • Developed long-short neutral crypto strategies achieving an average 2.15 Sharpe ratio.
  • Engineered high-frequency trading models in C++, improving execution speed and accuracy for deployment.

AI Engineer

Hungarian Water Polo Association
Budapest
06.2020 - 08.2022
  • Developed a computer vision tracking system for player performance analytics.
  • Provided insights that helped the Hungarian Women’s National Team reach the World Cup Final for the first time in 25 years.

Founder & Head of Computer Vision

Lain Consulting
Budapest
10.2019 - 08.2022
  • Created an AI-driven lung cancer detection system using 3D U-Net (98% malignant nodule detection).
  • Adopted by the Hungarian Institute of Pulmonology and Siemens for early-stage cancer diagnosis.

Research Fellow & Lecturer

Eötvös Loránd University
Budapest
06.2019 - 05.2020
  • Applied pose estimation and deep learning to dog behavior analysis.
  • Developed RNN-based predictive models, boosting research outcome accuracy.
  • Lectured on Algorithmic Graph Theory, imparting advanced computational knowledge.

Education

MSc - Discrete Mathematics

University of Warwick
UK

High School Diploma -

Fazekas Mihály Gimnázium
Hungary

Skills

  • Python
  • TensorFlow
  • Scikit-learn
  • LLMs
  • Computer Vision
  • Pandas
  • NumPy
  • Quantitative Modeling
  • Cloud pipelines
  • Leadership
  • Large dataset analysis
  • Low latency AI systems

Hobbies and Interests

  • Player on the Hungarian National American Football Team (2× National Champion)
  • Member of Mensa High IQ Society

Timeline

Quantitative Researcher

WorldQuant
04.2023 - 02.2024

AI Engineer, Team Lead

ShotQuality
09.2022 - Current

AI Engineer

Hungarian Water Polo Association
06.2020 - 08.2022

Founder & Head of Computer Vision

Lain Consulting
10.2019 - 08.2022

Research Fellow & Lecturer

Eötvös Loránd University
06.2019 - 05.2020

MSc - Discrete Mathematics

University of Warwick

High School Diploma -

Fazekas Mihály Gimnázium
Mihaly Torok