Tomas Jenicek

During six years of doing machine learning research in academia, I have contributed to computer vision with five papers at top conferences, and by supervising the next generation of students and researchers. After earning my PhD, I shifted gears to leverage my expertise in building impactful products. As a co-founder of a startup, I worked closely with the team to develop our MVP and bring our ideas to life.

Experience

2024

Co-founder at Evangelist with Dušan Kovačič & Martin Doušek
  • Designed and implemented data pipelines for content-based Tweet categorization, reach estimation via authors' networks, and stable reward distribution.
  • Led the web development for Product V2, improving scalability and robustness.

2024

Freelancing ML Engineer for Cabinet of Wonders
  • Developed, evaluated, and deployed a state-of-the-art ML model for artwork recognition, enabling efficient zero-shot image classification.

2017 - 2024

Researcher of computer vision at CTU in Prague
  • PhD in image retrieval under Ondrej Chum.
  • Authored and presented 5 papers at top conferences (core A/A*).
  • Led development of a retrieval web app and deployed ML model for Königsberg archive.
  • Supervised students across BSc/MSc theses and research roles, managed lab teachers, and directed a 5-person research project.

2022

Research Internship at Naver Labs Europe, Grenoble

Competence

Programming

Python, PyTorch, Pandas, NumPy, Flask, Dash, Vue

ML/AI

Computer Vision – recognition in challenging conditions, generative models (GANs), LLMs in traditional NLP tasks

DevOps

Docker + Ansible stack, NVIDIA Triton, PostgreSQL, CouchDB, Redis, Nginx, uWSGI, Terraform, Azure, AWS

Sports

Licensed sailing skipper RYA CS, walking, bouldering, ice-bathing

Soft Skills

Public speaking, supervisory skills, English C2, Spanish A2