03/16/2026 updated
100 % available
Senior Full Stack AI Engineer
St Petersburg, USA Bachelor of Science in Computer Science
About me
I don't just build AI prototypes — I ship production-grade LLM systems that serve 300K+ monthly active users, cut latency by nearly half, and reduce cloud costs by a third. The gap between "we have an API key" and "AI is transforming our operations" is an engineering problem. That's my specialty.
AI & Machine Learning Systems
Production-grade LLM systems development with Claude 3.7 Sonnet, GPT-4o, and Gemini 2.0 Flash, including multi-agent architectures and RAG pipelines
Full Stack Development
End-to-end application development using React 19, Next.js 15, Python 3.12, TypeScript 5, and cloud-native backends on AWS
Cloud Infrastructure & DevOps
AWS services including Bedrock, ECS, Lambda, S3, Docker containerization, Kubernetes orchestration, and Terraform infrastructure management
Backend Development
FastAPI, Node.js 22, tRPC, REST APIs, GraphQL, gRPC, Celery, Redis, PostgreSQL development
Frontend Technologies
React 19, Next.js 15 with App Router, Tailwind CSS v4, WebSockets, Zustand state management, React Query, Vercel AI SDK
Programming Languages
Python 3.12, TypeScript 5, JavaScript ES2024, Rust, SQL, Bash scripting
Machine Learning & Data
Hugging Face Transformers, PyTorch 2, FAISS, pandas, NumPy, LangSmith, Weights & Biases
Development Tools
GitHub Actions CI/CD, Docker, Kubernetes, Terraform, SageMaker deployment
Production-grade LLM systems development with Claude 3.7 Sonnet, GPT-4o, and Gemini 2.0 Flash, including multi-agent architectures and RAG pipelines
Full Stack Development
End-to-end application development using React 19, Next.js 15, Python 3.12, TypeScript 5, and cloud-native backends on AWS
Cloud Infrastructure & DevOps
AWS services including Bedrock, ECS, Lambda, S3, Docker containerization, Kubernetes orchestration, and Terraform infrastructure management
Backend Development
FastAPI, Node.js 22, tRPC, REST APIs, GraphQL, gRPC, Celery, Redis, PostgreSQL development
Frontend Technologies
React 19, Next.js 15 with App Router, Tailwind CSS v4, WebSockets, Zustand state management, React Query, Vercel AI SDK
Programming Languages
Python 3.12, TypeScript 5, JavaScript ES2024, Rust, SQL, Bash scripting
Machine Learning & Data
Hugging Face Transformers, PyTorch 2, FAISS, pandas, NumPy, LangSmith, Weights & Biases
Development Tools
GitHub Actions CI/CD, Docker, Kubernetes, Terraform, SageMaker deployment
Languages
EnglishNative speaker
Project history
Architected multi-agent GenAI platform serving 300K+ monthly active users with context-aware financial advisory features. Built and deployed 12 production RAG microservices, reducing AI response latency by 47%. Implemented LoRA/QLoRA fine-tuning achieving 33% accuracy improvement. Reduced cloud infrastructure costs by 34% via containerization.
Engineered LLM-powered logistics automation system eliminating 41% of manual triage work for 200+ operations staff. Built scalable backend services handling 5M+ daily API requests at 99.95% uptime. Reduced GenAI hallucination rate by 29% through structured output validation and ReAct reasoning loops.
Delivered 15 full-stack production features with React, Node.js, and PostgreSQL across 4 consecutive quarters. Improved API response times by 22% through legacy REST endpoint refactoring and Redis caching. Built reusable React component libraries reducing code duplication across multiple product teams.