Veniamin Stakhovskii

Responsibilities: • Spearheading API Platform, Anti-Fraud, Auth & SMS; delivering aggregator integrations. • Managing multi-region projects; leading 15+ engineers; reporting to execs. Key Achievements: • Executed API-first rollout—REST APIs, SDKs, LLM portal; cut integration to 1wk, +40% NPS, +50% entry, +25% revenue. • Built anti-fraud (rules+ML/LLM/SLM): −35% losses; ½ verification time. • Shipped ML scoring: +8% conversion, −12% defaults. • Prevented promo abuse; −9% COD cancels; blocked refund fraud.

• Upgraded the cloud/ML tool stack and built portfolio case studies in fraud and risk management. • Conducted user interviews and ran SQL/Python analysis; authored PRDs/BRDs and integration specs. • Provided consulting on payments, fraud prevention, and risk policies for international clients. • Delivered mentorship sessions for product managers and analysts.

Responsibilities: • Drove discovery and delivery of B2C/B2B tech products with AI/ML. • Led a Scrum team in Trust & Safety (fraud prevention, moderation, risk scoring). • Collaborated with global clients and cross-functional teams (data, analytics, eng, ops, legal). Achievements: • Built and launched a Feature Store (APIs), cutting prep time to hours, +40% reuse. • Reduced fraud via better scoring, session detection, and monitoring. • Improved ML recall +5% with 10+ new data sources and model updates.

Responsibilities: • Led end-to-end development in Payments Processing & Customer Care (B2C/B2B). • Collaborated with DS/ML and backend teams on AI-driven fraud-prevention and support automation. • Managed a 15+ FTE team and coordinated delivery with 10+ stakeholders. Achievements: • Cut time-to-market 2× for anti-fraud system; built unified payments dashboard. • Integrated payments UI into CRM, +10% scenario coverage. • Reduced AHT 9% via task automation and ML-based clustering.

Responsibilities: • Led discovery and delivery of a B2B BNPL loan platform and web app, coordinating frontend, backend, data, and infra teams. • Automated risk, underwriting, and anti-fraud workflows. Achievements: • Optimized UX and sped up approvals, raising loan conversion +5% and revenue +15%. • Cut processing time 7% and automated 28% of risk analysts’ workload via admin panel and external integrations.

• Increased conversion to successful debit-card applications by +6% (A/B test, 95% CI). • Accelerated releases by 20% by instituting prioritization (ICE/RICE) and UX benchmarking (Similarweb, App Radar).