GenAI Engineering @ Meta | Exited Founder & CTO, Presize → Meta | Building Products at Scale | Angel Investor & LP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
► GenAI Engineering @ Meta ► Angel investor in tech start ups (or in funds) with talented and ambitious founders that aim to have a significant positive impact on the world. ► Ex-Founding CTO at presize (now part of Meta) - FashionTech startup solving the size-related return problem with AI and Computer Vision (patent-pending technology)
Center for Digital Technology and Management (CDTM)
Honors Degree, Technology Management
January 1, 2018 – January 1, 2019
UC San Diego
International Exchange Program, Graduate Computer Science
January 1, 2017 – January 1, 2017
Technical University of Munich
Master of Science (MSc), Robotics, Cognition, Intelligence
January 1, 2016 – January 1, 2018
Hochschule München University of Applied Sciences
Bachelor of Science (B.Sc.), Engineering Physics/Applied Physics
January 1, 2012 – January 1, 2016
German Language School "Vladislav Grammatik"
High School Diploma
N/A – Present
Meta
Software Engineer, GenAI
October 1, 2023 – Present
On-site
Tomov Ventures
Angel Investor & LP
October 1, 2022 – Present
London Area, United Kingdom · Hybrid
Meta
Engineering Manager
April 1, 2022 – October 1, 2023
On-site
presize.ai
Founder & CTO
March 1, 2019 – March 1, 2022
Munich Area, Germany
NavVis
External Innovation Consultant
October 1, 2018 – January 1, 2019
Munich, Bavaria, Germany
Siemens
Master Thesis & Research
June 1, 2018 – March 1, 2019
Munich
tacterion
Open Innovation Project - Tech Lead
April 1, 2018 – August 1, 2018
Munich Area, Germany
Siemens
Student Researcher
February 1, 2018 – April 1, 2018
Munich Area, Germany
Technische Universität München
Graduate Research - Deep Learning for Computer Vision and Biomedicine
April 1, 2017 – August 1, 2017
Munich Area, Germany
Studentenwerk München
Tutor
October 1, 2013 – September 1, 2015
München
HARMAN International
Intern, Working Student and Thesis - BMW Infotainment Systems
January 1, 2013 – September 1, 2016
Munich, Germany
eCARus
Intern in Mobile Energy Supply
March 1, 2012 – October 1, 2012
Munich, Germany
Freelance Web Development
Freelancer
January 1, 2008 – January 1, 2012
FreshBox
September 1, 2017 – Present
The FreshBox "smart cube" is an intelligent IoT device, connected to the cloud, can be placed in all kind of delivery boxes. Seniors track all kind of data, including Temperature, CO2, moisture etc. and synchronizes directly with the cloud to ensure that your delivery of fresh groceries arrives in perfect shape and taste. Our aim was to reinvent e-food, create a disruptive and sustainable cold chain solution for the rapidly growing sector. In just 3 days we build a working prototype and our pitch won 2nd place at the Air Liquide cold chain challenge of TechFest Munich 2017. Pitch: https://1drv.ms/p/s!AsIvPhspDPoegcR34yPymM3R7qCW-Q
Think.Make.Start. Hallo
April 1, 2017 – Present
In just 2 weeks we have built working prototype smart bracelets “Hallo” for seamless easy networking, and seamless contact exchange, supported by an app. We worked tirelessly every day in an interdisciplinary team while constantly being supported by the wonderful Think.Make.Start. mentors at the startup incubator UnternehmerTUM. All this would not have been possible without the incredible equipment and machinery at the MakerSpace, the place where also the 2017 winner HyperLoop pod was built!
Deep Learning Specialization
DeepLearning.AI
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Artificial Intelligence
edX
June 24, 2026 – Present
How Google Does Machine Learning
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Cross-cultural Training
Studentenwerk München
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background includes significant entrepreneurial experience (presize.ai, Tomov Ventures) and roles at large tech companies (Meta, Siemens). This blend suggests an individual who can thrive in both fast-paced, innovative startup environments and structured corporate settings. Their involvement in projects like FreshBox and Think.Make.Start. highlights a proactive, hands-on approach and a willingness to tackle challenges. The diverse educational background (Robotics, Cognition, Intelligence, Technology Management, Engineering Physics) and international experience (UC San Diego) indicate an open-minded individual with a broad perspective. However, the target role of 'Data Analyst' might be a step down in terms of leadership and strategic impact compared to their recent CTO/EM roles, which could be a cultural fit consideration regarding long-term engagement and motivation.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, innovation, and problem-solving skills through their entrepreneurial journey and management roles. Their experience in interdisciplinary teams (e.g., Think.Make.Start.) and external consulting suggests adaptability and collaborative spirit. The ability to build working prototypes in short timeframes (FreshBox, Hallo) indicates strong execution and operational efficiency. However, the provided data does not offer direct insights into communication style or specific team collaboration dynamics beyond role descriptions.