Oleksandr Yampolskyi
Senior AI / Full-Stack Engineer
I architect production-grade cloud platforms and weave LLM-powered intelligence into the products people use every day — from RAG search and agentic workflows to HIPAA-grade real-time systems serving thousands of concurrent users.
A bit about my story
Senior Full Stack Engineer with 10+ years of experience building scalable cloud systems and, recently, integrating LLM-based features into production.
I've spent the last decade shipping cloud-native products in React, Node.js and Python — from internal tools at Chewy to a React + GraphQL platform at Meta Connectivity, a Stripe-backed SaaS at Comparent, and most recently a HIPAA-compliant telehealth platform at The CareMD.
Lately my focus has been on integrating LLM-based features: OpenAI APIs, RAG pipelines with LangChain and vector databases (Pinecone, FAISS), and event-driven AI agent systems that take real work off humans' plates.
I'm equally comfortable in the database, the API layer, the React frontend, and the Kubernetes manifest — and I care most about systems that stay reliable and fast as they grow.
Skills & expertise
A toolkit built across AI, full-stack engineering, cloud infrastructure and data.
AI / ML & LLMs
Production LLM integrations — OpenAI APIs, RAG pipelines, prompt engineering and vector search.
Languages
Polyglot engineer working across typed, dynamic and JVM languages depending on the job.
Frameworks
Full-stack across the modern web — APIs, SSR apps and mobile-friendly SPAs.
Cloud & DevOps
Container-first deployments on AWS/Azure/GCP with reliable CI/CD pipelines.
Data & Storage
Relational, document and search workloads — designed and tuned for production scale.
Architecture
Microservices, event-driven systems and distributed designs that stay debuggable as they grow.
Game Development
3D game prototypes and tools in Panda3D — real-time rendering, scene graphs, physics and input pipelines.
AI & full-stack projects
A snapshot of recent systems I've designed and shipped from RAG search to multi-tenant SaaS.
AI Knowledge Platform
RAG-based enterprise search system over internal documents using LLMs and vector embeddings improved retrieval accuracy by 70%.
AI Workflow Automation Engine
Event-driven AI agent system for business workflow automation reduced manual task execution by 80% across operations teams.
Panda3D Game Prototype
Real-time 3D game prototype built in Panda3D with a custom scene graph, Bullet physics, animated characters and a modular asset pipeline from Blender.
Where I've worked
A timeline of roles that shaped how I design and ship systems today.
Senior Full Stack Software Engineer
Jun 2023 — Nov 2025The CareMD — USA- Built and scaled a HIPAA-compliant telehealth platform (React + TS, Python Flask + FastAPI, PostgreSQL) supporting 5,000+ concurrent patient–doctor interactions.
- Evolved a Flask monolith into FastAPI async services for real-time signaling and telemetry, isolating consultation workloads from medical-record systems.
- Migrated infrastructure from EC2 to containerized services on Docker + Amazon EKS, improving scalability and release reliability.
- Built AI-assisted features with OpenAI APIs and prototyped RAG retrieval over medical records using LangChain + FAISS/Pinecone.
- Reduced doctor-search p95 latency from 4000ms → 85ms via materialized views and Elasticsearch indexing while scaling to 300% data growth.
Senior Full Stack Engineer
Jun 2020 — Dec 2022Comparent — USA- Architected and shipped a membership SaaS (React SPA, Django REST, PostgreSQL) on AWS (EC2, RDS, S3, CloudFront, Route 53).
- Integrated Stripe Checkout + Customer Portal with real-time webhook processing for tier-based access control.
- Designed a scalable PostgreSQL schema with composite indexes and PgBouncer pooling for high concurrency.
- Owned full delivery — frontend, backend, billing, AWS infra and CI/CD (GitHub Actions, zero-downtime via Gunicorn + Nginx).
- Resolved Stripe webhook race conditions with idempotent processing; launched with 500+ users onboarded in 48h, zero production incidents.
Full Stack Software Engineer
Jul 2018 — Jun 2020Meta Connectivity — USA- Contributed to a large-scale React + GraphQL platform used across the Facebook ecosystem.
- Reduced CSS payload by ~80% via architecture refactoring and built a tiered JavaScript delivery system.
- Implemented route prefetching and streaming GraphQL (@stream, @defer) for faster UI rendering.
- Worked on performance governance — bundle-size monitoring and dependency tracking.
Full Stack Developer
Jan 2015 — Jun 2018Chewy — USA- Built internal order management and customer support tools (AngularJS 1.5, Node/Express, MySQL) handling ~3–5k daily orders at peak.
- Added server-side validation and request deduplication, reducing duplicate-order issues.
- Refactored legacy jQuery into AngularJS components, cutting UI-related bug tickets by ~25%.
- Integrated early Stripe + Mandrill, debugging webhook timing with idempotency checks and retry logging.
- Tuned slow reporting queries from 2–3s to sub-second via indexing and join restructuring.
My education
Formal foundations in computer science from two Florida universities.
Master of Science in Computer Science
Bachelor of Science in Computer Science
Let's build something great
Have a project in mind, or just want to say hi? My inbox is always open.