Alex Semchenkov

- Delivering multiple computer vision projects for AI startups in the US
- Regularly communicating with C-level executives to align on goals and priorities
- Driving upsells, with 80% of clients requesting follow-up projects after their initial engagements
- Leading the development of ML pipelines
- Designing cloud and edge AI solutions across AWS, GCP, and hybrid environments
- Developed a legal

- Managed Big Data programs for leading US and UK financial companies from S&P 400 and FTSE
- Designed and built data platforms (DWHs, data lakes, and data pipelines) leveraging AWS and Azure
- Coached multiple remote Scrum teams
- Key results: launched a financial data platform that replaced 3 obsolete systems with duplicated data, and delivered a multi-cloud carbon emissions tracking solution

- Managed multiple Big Data, IoT, and AI projects on AWS cloud infrastructure (DWH, Data Lake, etc.) for Amazon, John Deere and other Fortune 100 clients
- Communicated with C-level executives to ensure successful value delivery
- Led 5 distributed Agile teams
- Key results: a strategic project for a Fortune 100 client achieved a perfect 100/100 customer satisfaction score, drove upsell activities

- Hired and managed 3 teams working on Autonomous Driving projects involving 1,000+ employees for BMW and Audi
- Led product discovery initiatives by designing tools for autonomous driving validation in simulated environments, conducting in-depth customer interviews in Germany, performing market research, and developing prototypes
- Facilitated Scrum processes for 2 teams (16 FTEs) using SAFe and

- Managed a portfolio of projects focused on developing a background screening platform for a US-based company, coordinating 8 teams and 50+ employees
- Collaborated with C-level executives and team leads to align business priorities using Scrum and Waterfall methodologies
- Designed scalable AWS-based solutions
- Leveraged Jira Portfolio, Structure, and Azure DevOps for program management
- Key r

- Led the development and integration of multiple AI products, including an airport video surveillance system and an alarm notification system for a multinational oil company
- Managed R&D projects involving a signal processing cluster, a microphone array, and related technologies
- Conducted market research, customer interviews, prototype development, and product roadmap creation
- Designed softw

- Led medical product development, including market analysis, in-depth interviews, usability testing, design, prototyping, and participation in exhibitions
- Drove Agile transformation initiatives and achieved a 25% reduction in development costs through waste elimination
- Introduced best practices to reduce time-to-market and improve quality, including brainstorming sessions, test plans, code re

- Led a medical product development team
- Conducted market research, customer interviews, and product design
- Key results: successfully launched a new product, improved existing products, and reduced the competitive gap

- Developed a series of software solutions for heart and brain diagnostics, including DSP algorithm implementation
- Conducted code review

Doctor of Philosophy (PhD) in Biomedical Engineering from Saint Petersburg State Electrotechnical University LETI from 2008 to 2012.