Platon Mysnyk
ML EngineerTechnical Lead
MIADVG LLC
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Technical Lead
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I optimise and automate things
National Technical University of Ukraine 'Kyiv Polytechnic Institute'
BS, Applied Mathematics
January 1, 2012 – January 1, 2017
MIADVG LLC
Technical Lead
September 1, 2020 – Present
Drafter AI: Marketing Content Generation
Co-Founder and CTO
March 1, 2020 – July 1, 2020
Phonal Technologies
Co-Founder and CTO
January 1, 2019 – September 1, 2020
DeckRobot
Lead Machine Learning Engineer
July 1, 2018 – January 1, 2019
VisaHQ
Machine Learning Engineer
December 1, 2017 – July 1, 2018
Ventseek Ltd
Machine Learning Consultant
September 1, 2017 – December 1, 2018
UvoCorp
Computational Linguistics Consultant
September 1, 2017 – December 1, 2017
Freelance
Machine Learning Consultant
June 1, 2017 – August 1, 2017
Self-Employed
Data Scientist
April 1, 2017 – September 1, 2017
KV Social
Computer Vision Engineer
October 1, 2016 – March 1, 2017
KV Social
Natural Language Processing Engineer
February 1, 2015 – September 1, 2016
KV Social
Machine Learning Engineer
July 1, 2014 – March 1, 2015
ReciproCoach
Machine Learning Engineer
January 1, 2014 – July 1, 2014
Net-Simple
Software Engineer
June 1, 2013 – January 1, 2014
Virtual Asistant
April 1, 2017 – Present
Virtual assistant with programmable fluent API to teach him perform external API calls. Used: - TF-IDF - Gradient Boosting - NLTK - Sklearn
RNN based conversational agent
November 1, 2016 – April 1, 2017
RNN based generative chat bot. Used: - tensorflow - Amazon ML AMI - RNN - LSTM - word2vec
Seat Belts Recognition
January 1, 2016 – May 1, 2016
System to detect if person using seat belts when riding a car. Used: - TensorFlow - AlexNet - VGGNet
Software Problems Detection using Support Tickets Clustering
September 1, 2015 – October 1, 2016
System to detect problems in software using feedback from users. It's helpful for systems with great user base and can make problems detection much quicker. Used: - python - c-means - DBSCAN - TF-IDF - Apache Spark (distribution in case huge amount of data coming in)
Sentiment Classification System
February 1, 2015 – June 1, 2015
NLP sentiment classifier for further analysis purposes Used: - python - XGBoost - Amazon ML AMI for computition - word2vec embedings - TF-IDF vectorization - Ensemble models (random forest, gradient boosting) - RNN
Human Gait Detection
January 1, 2014 – June 1, 2014
Detection of human using bio-metric data from accelerometer of mobile device. Used: - Time series analysis - Anomaly detection - Fourier decomposition - Dynamic time warping
Cultural Fit Analysis
The candidate has a strong background in various ML domains, including NLP, Computer Vision, and time series analysis, indicating adaptability and a broad technical interest. Their experience as a Co-Founder and CTO suggests an entrepreneurial mindset and a willingness to take ownership, which can be a strong cultural fit for innovative environments. The diversity of personal projects also points to a proactive and self-driven individual. However, the lack of explicit team collaboration details in job descriptions makes it difficult to fully assess cultural fit beyond technical contributions.
Soft Skills & Operational Fit
The candidate's career progression from ML Engineer to Lead ML Engineer, Technical Lead, and Co-Founder/CTO roles suggests strong leadership, problem-solving, and strategic thinking abilities. The descriptions of responsibilities like 'Architecture planning' and 'Team leading' indicate operational fit for senior roles. However, without specific psychometric test results or interview data, a detailed assessment of stress handling or team collaboration is not possible.