Roman Kaftanchikov

— Led architecture and development of AI-native SaaS platforms serving enterprise teams across legal, healthcare, and finance verticals. — Designed multi-agent LLM systems using LangChain, LangGraph, LangSmith, and OpenAI GPT-4 for dynamic knowledge workflows, document intelligence, and AI copilots. — Developed modular SaaS architecture using Next.js, NestJS, and PostgreSQL; deployed globally via Vercel and AWS Lambda with high-availability CI/CD. — Implemented advanced RAG pipelines with Pinecone, Chroma, and LlamaIndex; enhanced document recall by over 60% across large enterprise datasets. — Integrated Stripe for metered billing, access tiers, and invoice automation; built real-time analytics and usage dashboards with D3.js and Supabase. — Collaborated directly with product managers, AI researchers, and cloud engineers across 5+ international time zones, delivering quarterly product expansions.

— Led development of a cross-platform Mobile SaaS platform using React Native, Expo, and Firebase, enabling over 100K users to track vitals, receive diagnostics, and securely interact with care providers. — Integrated OpenAI GPT-4, LangChain, and custom vector models to power intelligent care plan generators, multilingual triage bots, and AI-driven patient history summarization. — Architected secure, HIPAA-compliant mobile infrastructure with NestJS, Node.js, and OAuth2 — including encrypted data flows, session token handling, and audit-ready logging systems. — Implemented SMART on FHIR APIs, HL7 connectors, and full EMR/EHR integration for real-time health data sync. — Designed provider dashboards and WebSocket-powered chat UIs with OneSignal-based push alerts, real-time vitals charts, and patient triage prioritization. — Introduced Web3-enabled features such as tokenized health ID systems, private wallet auth, and patient-owned data sharing via Solidity-based smart contracts on Polygon testnets. — Piloted blockchain-based audit trails using IPFS and Ethereum, enabling traceable, tamper-proof clinical records and AI decision logs. — Built offline support with SQLite, biometric login, and role-based multilingual UIs optimized for field clinics and global distribution.

— Delivered over a dozen full-stack MVPs for early-stage startups in AI, health, edtech, and fintech — building scalable SaaS platforms and mobile apps using React Native, Next.js, and NestJS. — Designed microservice-based backend systems using Node.js, PostgreSQL, and Firebase, supporting real-time features, analytics pipelines, and user role management. — Developed early AI-enhanced onboarding flows and smart form logic using TensorFlow.js, rule-based NLP engines, and custom ML classifiers for HR and marketing platforms. — Built Web3-enabled subscription engines using Solidity, MetaMask, and Ethereum smart contracts to support decentralized identity, usage tracking, and token-based access control. — Integrated Stripe and Paddle to support global recurring billing models, user-tiered access, and usage metering; developed dashboards with real-time KPIs and D3.js charts. — Delivered rapid prototyping through modular design systems and reusable React components; implemented automated build and deployment pipelines via Firebase Hosting and Vercel. — Acted as a technical lead across multiple parallel MVP teams, mentoring junior engineers, setting up Git workflows, and overseeing agile feature delivery across sprints.