Selected product work
A short list of projects where I owned the outcome end-to-end - from problem to shipped result
Pricing Optimisation SaaS: 0→1 Discovery to 22 Pilots
Defined ICP and value proposition for a B2B pricing optimisation SaaS, ran discovery fast, and shipped an MVP with a lean team (2 engineers + sales). Built roadmap + financial model to support fundraising narrative and early GTM
AI Support Automation: From 2.5 Days to 6 Hours
Redesigned onboarding/support experience via international customer research, then built and launched an LLM-powered tier-1 support chatbot with request analytics + routing improvements (RAG + Bedrock/Claude). Focus: reduce manual workload and speed up resolution
Monetisation Rebuild: +90% ARPU in B2B SaaS
Owned a dealership SaaS platform and rebuilt monetisation: packaging, contextual upsells, and event-based analytics tied to ARPU, conversion, and retention. Shipped iterative improvements through 3 cross-functional teams
Scaling Adoption: 3,000 → 9,000 Active Users + Revenue Surge
Drove growth by fixing onboarding friction, improving core flows, and using analytics to identify UX bottlenecks and new segments. Coordinated product + marketing + sales execution in a B2B/B2C mixed environment
New SaaS Sub-Product: From Loss-Making to 2.4M RUB/Month
Took an e-commerce SaaS sub-product with weak LTV and unclear positioning, rebuilt unit economics (PnL-first), clarified target audience, and shipped UX/checkout improvements plus a new revenue stream (cloud fiscal services)
Public A/B Pricing Optimiser: From Idea to Live Streamlit App
Independently built and shipped 3 production-ready AI tools end-to-end: A/B pricing optimiser (Streamlit), Whisper-based call analysis + recommendations, and a CRM with profitability analytics for a service business. Hands-on with RAG, prompts, agentic workflows, and deployment
Enterprise Analytics Platform: 15,000 Internal Users Adoption
Built and deployed a self-serve pricing tool for small retail: users upload experiment data, get A/B test conclusions, and receive optimal price recommendations in a simple UI. Designed the flow for non-technical owners and shipped the full prototype-to-deployment stack
Whisper Call Analysis Pipeline: Next-Day Sales Script Improvements
Built a pipeline that processes batches of recorded calls: transcription with OpenAI Whisper → linguistic/NLP analysis → recommendations that improve sales scripts on the next day. Focused on automation, repeatability, and actionable outputs instead of “pretty dashboards
AI-Enabled CRM for Renovation Business: Profitability Analytics per Client
Built a CRM for a solo contractor managing renovation projects: expense tracking per client, project management, and profitability analytics. Implemented database layer + automation to make unit economics visible without spreadsheets and manual bookkeeping