Больше информации по резюме будет доступно после регистрации
ЗарегистрироватьсяWas online more than two weeks ago
Candidate
Male
Not looking for a job
Poland, willing to relocate (Great Britain, USA, Switzerland), prepared for business trips
Chief Technology Officer (ML)
12 000 € in hand
Specializations:
- Programmer, developer
Employment: full time, part time, project work
Work schedule: full day, flexible schedule, remote working
Work experience 6 years 10 months
August 2023 — currently
1 year 9 months
Graph GenOmics
Switzerland
CTO
A blend of Graph and Language Models for Transcriptomics.
May 2023 — July 2023
3 months
IQVIA
Germany, iqvia.com/
Principal Machine Learning Architect
Reinventing Subsidiary Enterprise (1.3K+ People) for Automated Health Insurance Document Processing (Largest in Germany).
October 2021 — March 2023
1 year 6 months
InData Labs
Cyprus, indatalabs.com/
Principal Machine Learning Architect (Director)
Business Development and Technical Leadership in Machine Learning R&D (Increased Conversion Rate from 5% to 12%):
Strategy and Structure of the Company: Technical Direction; Presales, Business Development and Hiring; Sales-Operations Dynamics.
Lead and Supervise (75+ people) Proof-of-Concepts, Products and Technical Discussions with Customers from Healthcare, Manufacturing, ...
Architect and Design (50+ customers) Scalable and Reusable Solutions encompassing Machine Learning on Clouds and Edge Devices.
May 2021 — December 2022
1 year 8 months
USA, www.quantori.com/
Principal Machine Learning Scientist (Senior Manager)
Technical Management in Machine Learning R&D (Our Work Led to 75M Investment Series A):
Hired and Lead R&D teams (40+ people) on Autoimmune Diseases: Learning Interpretable Representations from Attention and Graph Models.
Education and Mentorship (30+ people) on Machine Learning System Design Growing Senior Engineers to Technical Leads and Architects.
Built an Analytical Pipeline Clustering Patients’ Sub-populations given their Longitudinal EHRs (UKBB, PPMI, ...) for further Genomic Validation.
June 2020 — June 2021
1 year 1 month
Creative Destruction Lab
Canada, www.creativedestructionlab.com/
Founder in Residence
Quantum Machine Learning bootcamp and acceleration program.
November 2019 — June 2021
1 year 8 months
Apex Qubit
USA, www.apexqubit.com/
Co-Founder, Chief Technology Officer
Computational Drug Design based on Hybrid Quantum-Classical Machine Learning (Valuated 10M at Series A):
Fundraising and Product with Accelerators (HealthInc, CDL) and Corporations (Nvidia, Google, Amazon) (120K cash and 1M+ services).
Customer Development and Partnerships within Industry and Academia (Pharmaceuticals, D-wave, Xanadu, IMTM Czech and Google X).
Hired and Lead R&D teams (20+ people) on Computational Drug Design: Protein Folding, Ligand Generation and Binding Prediction.
Reimplemented SOTA Machine Learning Solutions for Computational Drug Design: GENTRL, DeepDTA, AtomNet, DeepAtom, ADMET Predictors.
Research and Development on GAN, RL and Graph Networks for Optimization of Molecular Properties: Affinity, Solubility, Non-Toxicity.
Research on Quantum-Classical Computations for Deep Learning Enhancement: Disentangling of Probabilistic Quantum Dependencies.
January 2020 — July 2020
7 months
HealthInc
Netherlands, healthinc.io/
Founder in Residence
Biotechnology and Life Sciences acceleration program.
December 2019 — June 2020
7 months
Grok (Entrepreneur First)
Singapore, www.joinef.com/
Founder, Chief Technology Officer (Founder in Residence)
Acceleration in Management and Business: Backed by Reid Hoffman and Demis Hassabis.
Diagnostic and Treatment of Mental Disorders via Automated Thematic Conversations (Raised 30k without Equity):
Ideation, Customer Development and Product in Mental Health Domain with B2B/B2C Products for Diagnostics and Treatment.
Design and Development of Multi-stage Thematic Dialogue System with Curated Database Search and Generative Modelling.
Research and Decomposition of Anxiety, Mood and Personality Disorders into Common Cognitive and Behavioral Patterns.
May 2019 — October 2019
6 months
Institute for Infocomm Research (Deep Learning 2.0 unit)
Singapore, www.a-star.edu.sg/i2r
Research Assistant
Large-Scale Deep Learning Research Collaboration with MIT and Stanford (Research Further Reused at ApexQubit):
Research on GAN and NeuroEvolution for Adversarial Training Stabilization: Search through Population of a Perturbed Generator.
Research on RL and Evolutionary Strategies for Neural Architecture Search: Reward-guided Search of Closely-related Evolutions.
July 2018 — December 2018
6 months
Belgium, www.freescale.com/russia
IT, System Integration, Internet... Show more
Machine Learning Research Engineer
Noise Suppression in Real-time for Edge Processors based on Generative Adversarial Networks (TWS Samsung Earbuds):
Designed and Developed a Heuristic based on Google Audioset Ontology Automatically Labelling 94% of 1000+ Hours of Multi-source Audio.
Invented and Developed a Real-time Generative Active Noise Cancellation (similar to SEGAN) Providing a 27% Boost in PESQ/STOI.
February 2018 — July 2018
6 months
Belarus, www.cactussoft.biz
IT, System Integration, Internet... Show more
Data Scientist
Machine Learning Recommender System for HoReCa Employers and Employees in Denmark (Company Sold, NDA).
Skills
Skill proficiency levels
About me
Engineering Director in Deep Learning and Life Sciences R&D. I have been into LLMs and Generative Modeling since 2017.
I am an architect (intense INTJ) living in the world of abstract ideas, thriving in design of systems and strategies, bridging humanities and sciences. I am a polymath devoting my existence to unveiling the arcana of our universe and intelligence, solving the most perplex conundrums of mankind. I am an alumni of Entrepreneur First (backed by Reid Hoffman and Demis Hassabis), HealthInc (Startupbootcamp spin-off), Creative Destruction Lab (working with Xanadu, D-wave and Google X) and Nvidia, Google and AWS for Startups. Top200 of 67M playing League of Legends at the age 16 (3000 elo). Ideal physics SAT at 18. The youngest EF CTO at 21. At 23 led a team of 15 bringing 75M Series A. At 24 aced System Design and Behavioral interviews for Staff MLE (L6) at Meta UK during mass layoffs.
Higher education (master)
2020
Belarussian State University of Informatics and Radioelectronics
Computer Systems and Networks, Electronic Computing Facilities
Languages
Tests, examinations
2020
University of Alberta
Coursera, Reinforcement Learning
2020
University of California
Coursera, Golang
2020
Higher School of Economics
Coursera, Financial Instruments of Private Investors
2020
UC Irvine
Coursera, Golang
2020
Yale
Coursera, Negotiations
2019
University of California, San Diego
Coursera, Algorithms and Data Structures
2019
Stanford
Coursera, Algorithms
2019
University of Toronto
EdX, Quantum Machine Learning
2019
Berkeley
OpenAI Datacamp, Deep Reinforcement Learning
2018
Stanford
Coursera, Deep Learning
2018
Imperial College London
Coursera, Mathematics for Machine Learning
2018
Yandex and HSE
Coursera, C++
2018
Open Data Science
Open Data Science, Machine Learning
2018
Yandex and HSE
Coursera, Data Analysis
2017
Stanford
Coursera, Machine Learning
Citizenship, travel time to work
Citizenship: Belarus
Permission to work: Belarus, Belgium, Poland, Singapore
Desired travel time to work: Doesn't matter
