Product leader and AI practitioner across mobility, payments/fintech, telecom, and adtech. I ship small, instrumented launches, measure lift, and iterate. Style: systems-first, numbers-first—define the problem, pick the reversible bet, prove impact, keep what works.
AI Engineering
Python, CV, NLP—models shipped as low-latency, production APIs with health checks, rollbacks, and full traceability. Portfolio spans NLP (ASR/TTS, summarization/extraction), CV (OCR, background removal, quality/safety filters), time-series forecasting, and selective generative prototypes—instrumented, versioned, and monitored. Experience includes fine-tuning and training LLMs for domain-specific tasks, and training text-to-image models for custom visual generation use cases.
Ride-Hailing — Finance & Fraud
Owned the finance & fraud stack end-to-end; delivered up to 5% of NMV cost savings via fraud loss reduction and payment cost optimization. Built and tuned wallet, debt, and cash-out experiences; streamlined back-office flows to cut manual work. Shipped an ensemble fraud layer leveraging location data, graph theory (coordinated fraud detection), supervised ML (classification models), and unsupervised learning (anomaly detection) with near-real-time scoring, calibrated thresholds, analyst override paths, and case explainability.
Fintech
Market research and vendor evaluation for transaction risk & compliance; map requirements to build/buy decisions with contractable SLAs and unit-economics targets. Stand up fraud detection services (feature stores, streaming scoring, feedback loops), tighten dispute/chargeback posture, and harden compliance workflows. Banking infrastructure design and fintech strategy definition for scalable payment systems and financial operations.
Product Analytics & Advisory
Data-science backbone applied to product: metric trees and event contracts, trustworthy attribution, MDE/power-aware experimentation, and causal checks. Turn market research → internal signals → PMF into decision memos, instrument the smallest shippable change, and report lift.
Growth & Adtech
Startup-grade growth loops (referral, partner, content, product-led), disciplined A/B and cohort views, and dashboards leaders actually use. Focus on systems that compound: faster activation, steadier retention, clearer monetization—built, measured, iterated.
Product & Strategy
Product Management, Product Strategy, Product Planning, Product Roadmapping, Product Discovery, OKRs, Strategy Implementation
Analytics & Data Science
Data Analytics, Statistical Analysis, Experimental Analysis, Quantitative Research, Qualitative Research, Predictive Analytics, Time Series Analysis, Data Storytelling, Benchmarking, Data Visualization
AI/ML Engineering
Artificial Intelligence (AI), Machine Learning, Computer Vision, Natural Language Processing (NLP), Sentiment Analysis, Prompt Engineering, Data Engineering, Data Wrangling, Python (Programming Language)
Growth & Marketing
Growth Strategies, Marketing Strategy, Market Research, Market Analysis, Business Development
Design & UX
User Experience (UX), UX Research, Design Thinking, Web Design, Figma, Adobe Photoshop, Creative Ideation
Business & Finance
Business Strategy, Corporate Finance, Strategy & P&L; budgeting & forecasting; pricing & monetization; unit economics; risk & compliance; payments & treasury ops.
Leadership & Collaboration
Leadership, Stakeholder Management, Cross-functional Collaborations, Project Management, Agile Methodologies
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