Chuong Le
ML EngineerMachine Learning Engineer
PromethistAI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Towards useful unbiased AI
Universität des Saarlandes
Master of Science (MSc), Computer Science
January 1, 2014 – January 1, 2014
Charles University
Master's degree, Artificial Intelligence, Neural Nets, Machine Learning, Robotics
January 1, 2013 – January 1, 2015
Charles University
Bachelor's degree, Computer Science
January 1, 2009 – January 1, 2013
Gymnázium Christiana Dopplera
High school, Mathematics and Physics
January 1, 2005 – January 1, 2009
PromethistAI
ML Engineer & DevOps
December 1, 2024 – April 1, 2026
Prague, Czechia · On-site
PromethistAI
Machine Learning Engineer
June 1, 2023 – December 1, 2024
Prague, Czechia · On-site
Blindspot Solutions
Project Manager + Backend Developer
June 1, 2022 – May 1, 2023
Prague, Czechia
Semantic Visions
Machine Learning/NLP Research Engineer
March 1, 2021 – July 1, 2022
Prague, Czechia
Datamole
Computer Vision Engineer
April 1, 2020 – October 1, 2020
Prague, Czechia
Aireen
Deep Learning Engineer
October 1, 2018 – April 1, 2020
Prague, Czechia
Quantasoft
Deep Learning Engineer
February 1, 2017 – April 1, 2020
Prague, Czechia
MAKRO spol. s r.o.
Business Intelligence Reporting
July 1, 2016 – December 1, 2016
Jeremiášova 1249/7, 150 00 Praha 5
Cleverlance
Workshop Participant
June 1, 2015 – July 1, 2015
Prague, Czechia
Seznam.cz, a.s.
Software Developer
March 1, 2015 – September 1, 2015
Prague, Czechia
University of Economics, Prague (Vysoká škola ekonomická v Praze)
Science Assistant for Doc. Kaňka
May 1, 2012 – March 1, 2013
Prague, The Capital, Czech Republic
E4A s.r.o.
Software Developer
July 1, 2010 – December 1, 2011
Prague, Czechia
Runaway Robot
March 1, 2016 – Present
I took a MOOC given by prof. Sebastian Thrun (@UDACITY.com), named Artificial Intelligence for Robotics Programming a Robotic Car. In this course we learned and programmed some basic algorithms for developing autonomous cars like Google cars. We learned a lot from Localization, Kalman, Particle, Motion Planning, Smoothing trajectory, PID Control, and SLAM. As the final project we put everything we learned to program a robot that hunts another robot. In overall the course is marked as Advance and I am happy to finished all the parts of it. It happen that I finished this course in 3 days since I want to do other stuffs.
Arduino car following black line with obstacles
October 1, 2013 – Present
The goal of the project is to implement a robotic car that follows a black line and bypasses obstacles in its route. The car utilizes color sensor to find the line and follow, and distance sensor (one front, one lateral) to recognise and drive around obstacles. Technologies: Arduino language (similar to C) Implementation: Simple finite automata
Right Whale Detection Challenge
April 1, 2012 – Present
Thanks to kaggle.com we participated in the Right Whale Detection Challenge and presented our works so far in the Seminair of Artificial Intelligence which was led by professor R. Barták, the leading researcher in Automated Planning and Scheduling and Constraint Satisfaction Problem. This happened back when I was still undergraduate. Technologies: Java, Matlab Algorithms: Neural network, Regression model, Digital signal processing, Signal denoising Key words: Pattern recognition, Signal processing
Building Batch Data Pipelines on GCP
Coursera
June 24, 2026 – Present
Robotics: Aerial Robotics
Coursera Course Certificates
June 24, 2026 – Present
Robotics: Mobility
Coursera Course Certificates
June 24, 2026 – Present
Google Cloud Big Data and Machine Learning Fundamentals
Coursera
June 24, 2026 – Present
NVIDIA DLI Certificate – Fundamentals of Deep Learning for Computer Vision
NVIDIA Deep Learning Institute
June 24, 2026 – Present
NVIDIA DLI Certificate – Fundamentals of Deep Learning for Multi-GPUs
NVIDIA Deep Learning Institute
June 24, 2026 – Present
Robotics: Computational Motion Planning
Coursera Course Certificates
June 24, 2026 – Present
Smart Analytics, Machine Learning, and AI on GCP
Coursera
June 24, 2026 – Present
Modernizing Data Lakes and Data Warehouses with GCP
Coursera
June 24, 2026 – Present
Essential Google Cloud Infrastructure: Core Services
Coursera
June 24, 2026 – Present
NVIDIA DLI Certificate – Fundamentals of Accelerated Computing with CUDA C/C++
NVIDIA Deep Learning Institute
June 24, 2026 – Present
TOEFL iBT
The IELTS TOEFL Centre
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including personal robotics projects, Kaggle challenges, and various industry roles (freelance and full-time), indicates a strong passion for AI/ML and continuous learning. Their experience in leading teams and coaching junior colleagues, combined with their involvement in hackathons, suggests a collaborative and innovative mindset. The breadth of skills across ML, DevOps, and cloud platforms aligns well with a dynamic, fast-paced technical environment.
Soft Skills & Operational Fit
The candidate's experience as a Project Manager and their responsibilities in communicating with medical teams and investors suggest strong soft skills, including leadership, communication, and stakeholder management. Their involvement in designing disaster recovery plans and ensuring compliance indicates an operational mindset. The diverse project experience, from academic challenges to industry roles, suggests adaptability and a proactive approach to learning and problem-solving.