Portfolio - Sergey Kravchenko

1

Machine Learning
Project

About

I am a Product Manager with 20+ years of experience bridging business, technology, and design to deliver impactful solutions in FinTech, AI, and startups. I collaborate with technical professionals, including data scientists, ML engineers, and UX/UI experts, to launch AI-driven products in local and international markets.

AI & Machine Learning

➡️ LLMs: Open-source (Mistral, LLaMA, Hugging Face models), Commercial (GPT, Claude, Gemini)
➡️ LangChain, Hugging Face, RAG-based Systems, Agno, Google ADK, OpenAI ADK
➡️ No-code tools: n8n, Make.com, Google Agentspace, Zapier
➡️ Traditional ML: scikit-learn, XGBoost
➡️ Deep Learning: PyTorch, TensorFlow
➡️ Cloud ML Platforms: AWS SageMaker, Azure ML, Vertex AI, GCP

My

Projects

Retail Promo Campaign Analysis - exploratory data analysis (EDA)

Domain/Function: Data Science

This project is focused on performing exploratory data analysis (EDA) and generating actionable business insights on a retail promotional campaign dataset. It simulates the responsibilities of a data analyst intern working closely with marketing a

My

Experience

AI Product Manager - EPAM Systems (NYSE)

Directed development of a GenAI chatbot for 60,000+ employees, achieving 78% coverage of monthly queries and enhancing internal efficiency.
Boosted acquisition rate from 36% to 64% YoY by implementing a data-driven onboarding and engagement loop.
Designed and launched 8 AI copilots to automate Ops workflows, cutting manual workload by 46% (~1,300 hours/month).

AI Product Manager - Weld Money (Crypto AI - SaaS Platform)

Jun 2022-Oct 2023

Led MVP delivery of fraud detection ML models, reducing losses by 38% and accelerating fraud identification.
Launched facial recognition onboarding using ML/AI, saving $80K/year in operational costs.
Defined product vision and roadmap across KYC, transaction risk, and identity domains.

Head of Product - GMS - (AI-driven communications solutions for enterprises)

Apr 2021-May 2022

Scaled B2B messaging platform, increasing retention by 23% in 7 months via data-informed roadmap execution.
Mentored 5 Product Managers, increasing team delivery from 3 to 8 releases/month.
Expanded into 3 new markets, generating 19% YoY revenue growth through self-service MVP