Know Me More
I am a highly versatile software engineer and data scientist with over 15 years of industry experience. Over the course of my career, I have built enterprise software and AI/ML systems currently used by Fortune 500, Global Fortune 2000, and the public sector. I am passionate about building intelligent, data-intensive systems requiring diverse hands-on engineering skills.
International conference speaker, guest lecturer, and AI patent author with a successful track record in competitive programming (ACM ICPC) and competitive ML (Kaggle).
Skill summary: software architecture, technical leadership, backend engineering, distributed systems, cloud computing, big data, machine learning, AutoML, deep learning, AI, computer vision, NLP, HPC, data engineering, statistical modeling, algorithm design, test-driven development.
What I Do
Backend development, distributed systems, cloud computing, experimental R&D. I have led engineering teams and engaged in pre-sales activities as a solutions architect.
Production-grade ML engineering with tabular data, deep learning, computer vision, NLP, audio, AutoML, MLOps.
I have led data science teams and completed 10+ commercial projects in descriptive, predictive, and prescriptive analytics.
I have helped my clients with their DS/ML/AI projects and trained their in-house teams to build AI systems.
Guest lecturer at UCU. Teaching AI and ML to undergrad students and external audiences.
10+ conference talks, including ODSC East (USA), ODSC Europe (UK), PyCon (Ukraine), and other DS/ML/AI and engineering events.
Target Leakage in Machine Learning
ODSC East 2020
Automated Machine Learning
IT Arena 2019
Teaching Computers to Play Games using Reinforcement Learning
PyCon UA 2017
Get in Touch
For all recruiting, consulting, and speaking inquiries, please email me.