Position: Experienced Engineering manager /  Project Delivery manager
Category: Project Manager
English level: fluent
Years of experience: 11

I ensured lots of successful deliveries for lots of projects including Healthcare systems (.NET/C#/MSSQL/JS/Angular), Regulatory reporting (ORACLE/ETL/Java), Finance Scoring (.NET/C#/MSSQL), Mobile apps (Android, iOS + REST API) and Web applications (LAMP), Business Intelligence (Pentaho / MySQL / Tableau ), etc.
I discovered new client needs. New contracts have been signed and existing contracts have been extended

The existing SDLC has been improved. As a result, I increased client satisfaction and trust.
Managed up to 15 projects simultaneously
Managed team size up to 100 people

Professional improvement:
Machine Learning by Andrew Ng, Stanford. Grade: 100.0% in Jul 2018
Kanban KMP II in Feb 2019
Python deep dive, Jan 2020
Salesbright courses (How to increase client satisfaction), Nov 2020
Engineering / Delivery manager with more than 20 years of experience. I started as a software engineer in 2000 (C#, PHP, Python, Delphi, a bit of Java). Then, from 2005, I worked in different roles with various technologies as a Team Lead, PM, Scrum Master, Product Owner, and Delivery manager. Team size 10 up to 100 engineers.
Skilled in Scope Management, Schedule Management, Risk Management, People Management, Stakeholder Management.
I am a seasoned Manager that has a deep understanding of all stages of software product projects together with financial and business parts.
I have a profound and hands-on experience with:
• Software development management; Operational and Project management; General management
• Methods and Frameworks: Agile, Scrum, Kanban, XP, PMBoK
• People management: Hiring, staffing, motivation, mentoring, and coaching
• Design of business processes, logic, and architecture
• Platforms: Web, Mobile, Desktop
• Industries: IT Startups, Healthcare, FinTech, e-commerce
My professional interests:
• Agile (Kanban, Scrum, XP) and continuous improvement
• Work with Healthcare and life science industries
• Application of Machine/Deep learning, AI, Data Science in my projects
• Participation in presales and business development for software products and projects, particularly AI / Machine Learning projects