Ilya Osmakov

- Led evaluation and launch of new MedTech business opportunities with projected economic impact of RUB 50–80M annually. - Built financial models, business cases and scenario analyses for digital transformation and manufacturing localization initiatives. - Managed validation of strategic growth hypotheses and investment opportunities. - Built and led a digital prosthetics program from research stage to patient trials, delivering 10 prototypes and 30+ development iterations. - Organized collection of clinical datasets including 150+ 3D scans and data from ~100 patients across multiple locations. - Established R&D operating processes, adapting Agile/Kanban practices, CI/CD workflows, documentation standards and decision-making frameworks. - Assessed localization opportunities for components within a procurement portfolio exceeding RUB 1.7B annually.

- Owned a laboratory information management platform covering the full biomaterial lifecycle from collection to result delivery. - Led a cross-functional team of product, delivery and analytics specialists. - Reduced manual operational workload by 37,000+ hours annually through process automation. - Improved laboratory registration workflows, increasing operational efficiency and reducing staff workload. - Prioritized product investments using business impact, operational metrics and stakeholder value. - Developed product roadmap execution across multiple internal business units.

- Defined product vision and strategic roadmap for a digital healthcare platform. - Built product analytics and established a metrics-driven decision-making framework. - Developed unit economics and business models for key customer journeys. - Improved conversion across the patient funnel, increasing first-purchase conversion by more than 2x. - Led a cross-functional team of engineers, designers and QA specialists. - Prioritized initiatives based on business impact, customer value and operational efficiency.

- Adapted and launched educational healthcare programs for pharmaceutical companies. - Developed and validated a B2C monetization strategy, achieving conversion rates significantly above forecast. - Built strategic partnerships with healthcare ecosystem participants, including Helix. - Worked across product strategy, business development and commercialization initiatives. - Supported launch and growth activities for new digital healthcare offerings.

- Led development of healthcare software products for clinics and medical organizations. - Increased core product engagement, contributing to 17% growth in monthly active users. - Launched AI-assisted and automation-driven features that reduced operational effort for healthcare professionals. - Worked across product strategy, discovery, delivery and go-to-market activities. - Coordinated engineering, design and business stakeholders to deliver measurable business outcomes.

– Релиз новых виджетов ( аллергии, препараты, лабораторные и инструментальные исследования ) увеличил MAU на 7 %. – Интегрировал сервис телемедицинских консультаций. – Вёл государственные контракты полного цикла: согласование → реализация → отчётность.

- Co-founded and helped build an AI-powered medical imaging startup focused on radiology workflows. - Led product discovery, customer development and competitive analysis. - Designed business models, unit economics and MVP strategy. - Built data acquisition and annotation pipelines for machine learning applications. - Evaluated and adapted AI models for healthcare use cases. - Raised private and public funding through successful grant applications and investment programs. - Recruited and coordinated multidisciplinary teams across product, research and engineering. - Presented results at industry conferences and contributed to scientific publications.

Responsibilities: - Business Analytics, - Data mining, preprocessing, - Python: PyTorch, TensorFlow, keras, scklear,  - Science research, publication and conference presentation.

Responsibilities: - Science researches in the field: medicine, biomdecial photonics and data science; - Biomedical Intraopertaion support in diagnostic and therapy of oncological deases of brain and prostate; - Team and solo grand work;

Acnhivements: - Theory and intraoperation practice of fluorescent diagnostics of brain tumors; - Theory and intraoperation practice of photodynamic therapy of prostate tumors; - Introduction in Data Science: Data Engineering, Data Preprocessing, Classic Machine Learning Methods in Medicine Application; - More than 5 scince papers and speakig at science conf. The graduation project was about: The analysis of intraoperative optics-spectral data of brain tumors using machine learning.

Laser System Design, Optics, Photonics Acnhivements: - Theory and practice of laser technical and laser technology, - More than 3 scince papers and speakig at science conf. Final Work: Math modeling of optical and spectral parameters of optical fibers