I've run enterprise platform programs in regulated environments since 2018. At Medidata I grew a 50-engineer GitHub Copilot pilot into a governed GenAI program with 1,200+ users, and now chair the AI Operating Committee that decides which AI tools the company adopts. Nights and weekends, I build on-device AI apps and ship them to the App Store solo.
I run AI governance and enablement programs in regulated environments, alongside the enterprise platforms they depend on. The work spans program execution and platform operations: coordinating distributed technical teams, defining governance and workflow structure, and driving adoption for systems that make organizations more efficient and delivery more predictable.
Now at Medidata (Dassault Systèmes), leading enterprise platform programs, currently the Jira migration from Data Center to Cloud, alongside an expansion to Jira Product Discovery, Jira Service Management, and Confluence Cloud, paired with an org-wide ways-of-working rework. Led GitHub Copilot rollout across engineering and expanded a GenAI program to 1,200+ users. Coordinate distributed programs of 20–100 contributors with bi-weekly reporting to the SVP of R&D.
I'm bilingual (English & Russian) with professional proficiency in French, and I hold PMP, CSPO, Leading SAFe, and Advanced CSM certifications.
Building, shipping, and scaling products and platforms across regulated industries.
At Medidata I lead enterprise platform programs across IT infrastructure, developer tooling, and AI enablement. The current centerpiece is moving Jira (the single system where all software development is executed) from Data Center to Cloud, alongside an expansion to Jira Product Discovery, Jira Service Management, and Confluence Cloud, paired with a full rework of how engineering, product, and operations teams work day to day. Prior to that I ran the Jira Data Center migration and cut ad-hoc support volume by 40%.
On the AI side, I piloted and rolled out GitHub Copilot across engineering, then expanded the GenAI program to 1,200+ users across non-technical functions via Gemini and NotebookLM. I chair the AI Operating Committee that consolidates AI initiatives across business units. I coordinate programs of 20–100 contributors and report bi-weekly to the SVP of R&D.
At Symbridge I led cross-functional delivery for a cloud-based crypto custody and exchange platform, coordinating engineering, compliance, legal, and operations through requirements definition, regulatory alignment, and launch. A central piece of that work was driving adoption of a hierarchical RBAC model across the platform, partnering with security and engineering on user-needs analysis and admin workflows, which reduced admin panel vulnerabilities by 30% and enabled SOC1 and SOC2 certification. I also led the transition of offshore engineering teams from Waterfall to Agile, cutting delivery cycles by 15%.
At Lumine I coordinated delivery between engineering, design, and business stakeholders for internal systems and operational workflows. I designed an onboarding process that cut new-hire ramp-up time by 50% and maintained backlogs that addressed 90% of stakeholder-reported issues.
Led a phased GenAI strategy from a 50-engineer GitHub Copilot pilot to an org-wide program reaching 1,200+ users: governance reform, an AI Operating Committee, and Gemini/NotebookLM adoption across non-technical teams.
EOL/EOS status, compute and storage utilization, and server inventory lived in five systems that did not agree with each other. I own the product work on the internal developer platform that puts them in one governed view; the financial layer is in development now.
Three database platforms reached end of support over four years, each carrying a seven- or eight-figure penalty for missing the deadline. I owned the programs that cleared all three (roughly $30M avoided), and changed the way the work was funded so teams prioritized it without being chased.
Managed the migration from Jira Server to Data Center, and used it as the catalyst to reframe Jira from a utility into a governed platform product with API policies, an SLA framework, and a steering committee.
Both are Russian-language, both run entirely on the device, and both started as a problem I had myself. I don't have an engineering degree and I've never held an engineering title: the code is written together with AI coding agents, the same class of tools I govern at work. It's the AI-enablement thesis tested on myself.
An offline proofreader for Russian. Apple's Writing Tools don't cover Russian, so this is a 246M-parameter model tuned for the Apple Neural Engine: a correction takes about 17 ms, and nothing leaves the device.
Не могу дождатся выходных. Не могу дождаться выходных.
A Russian Orthodox daily reader: the full Synodal Bible, a prayer book, the liturgical calendar, and icon recognition from a photo. All of it sits inside the app: no accounts, no analytics, no network.
77 books · 154 prayers · 8,235 dictionary entries · icon recognition, all offline
The same review-protocol thinking I use chairing the AI Operating Committee, applied twice: a scorecard that sizes decision process to reversibility, and a 1944 sabotage field manual read in reverse as a management checklist.
Most bad decisions aren't wrong, they're mismatched: a week of review on something you could undo in an afternoon, or an afternoon spent on something you can't undo at all. This tool takes five answers about a decision and returns the protocol it deserves: who decides, how fast, and what has to be written down. A decision you can undo cheaply should not cost a week of meetings.
In 1944 the OSS published a field manual teaching citizen-saboteurs how to quietly wreck an organization: insist on channels, refer everything to committees, relitigate every decision. Declassified, it reads as a catalog of everyday management dysfunction. I reversed each instruction into a working principle for running programs.
Every tag opens the case study where the skill was actually used.
PMP (PMI, 2023) · CSPO (Scrum Alliance, 2024) · Leading SAFe 6.0 (Scaled Agile, 2025) · Advanced CSM (Scrum Alliance, 2025)