Igor Kochman

Led the development of a data deployment service for Novartis - a $50 billion biotech company with 100k employees. - Introduced an Oracle database migration strategy that saved approximately 10% of the project budget. - Designed a deployment flow that reduced deployment time by 35% and increased customer satisfaction by 50%. - Introduced a cloud-based automation solution that saved over 10 man-hours per week. - Maintained product documentation, resulting in a 50% reduction in customer support inquiries.

SaaS EV factory logistics simulator for Arrival Ltd - a £3 billion UK electric vehicle manufacturer. - Implemented a UI interface for metrics and KPIs, that enabled stakeholders to make 3x times faster decisions. - Reduced bottleneck identification time by up to 100% by implementing a data collection tool. - Discovered JIT delivery architecture and production efficiency gain KPIs of up to 75% in 3 months. - Redesigned facial recognition (AI/ML) module for service robots, improving efficiency by up to 2x.

Leading research center with projects in spin physics and the study of magnetic properties of semiconductors. - Led a multidisciplinary team of 10 scientists to design a new research study, resulting in over $100,000 in funding. - Developed detailed roadmaps for 5 projects, and performed strategic planning for long-term goals and key milestones required to achieve them. - Implemented Python solutions and data science tools for data analysis, visualization that reduced post-processing of experiments by 2x.

A deep-tech semiconductor start-up valued at $15 million. - Conducted extensive market analysis and identified growth opportunities gaining 80+ contracts and increasing revenue by 10%. - Streamlined the product development process, resulting in a 40% reduction in time-to-market; gathered UX feedback, conducted market/user research. - Managed a cross-functional team of engineers, designers, sales, and QA to deliver a suite of test products, resulting in a 50% increase in customer engagement.

Thesis: “Magnetic properties of narrow bandgap semiconductors” The main research tool is an electron spin resonance spectrometer that works at helium temperatures (from 2.7 K) and moderate magnetic fields (up to 1.4 T). Contactless magnetotransport measurements were performed on the topologically non-trivial materials with inverted band structure (HgSe with magnetic impurities) and broken-gap alignment (InAs/GaSb QW).

Grade: magna cum laude Activities and societies: “An effect of iron impurity in HgSe on Shubnikov-de Haas oscillations” Projects on nanoelectronic semiconductor device fabrication and Intel’s fin field-effect transistor (FinFET). Solid state physics, nanotechnology and semiconductor physics.