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Volodymyr Hokh
Python AI Engineer
Ivano-Frankivsk, Ukraine • [open contact info](look above in the "contact info" section) • [open contact info](look above in the "contact info" section)
[open contact info](look above in the "contact info" section) • github.com/volodymyr-hokh

PROFESSIONAL SUMMARY
Python AI Engineer with 2+ years of hands-on experience designing and deploying production-grade AI systems. Specialized
in Large Language Model (LLM) integration, Retrieval-Augmented Generation (RAG), and real-time voice agent
development. Proven record of building scalable FastAPI backends and conversational AI solutions serving thousands of
daily users. Experienced with OpenAI API, LangChain, Pipecat, LiveKit, Docker, and agentic AI workflows.

EXPERIENCE

AI / LLM Engineer | Space Step | Ottawa, Ontario, Canada (Remote) Oct 2024 – Mar 2026
• Designed and deployed production-grade LLM pipelines (GPT-4, Claude), reducing manual document processing time
by ~70% across Word and PDF automation workflows
• Built real-time voice agents with Pipecat and LiveKit, supporting 50+ concurrent sessions with sub-700 ms end-to-end
latency
• Implemented RAG architectures with FAISS / Pinecone and LangChain
• Performed model fine-tuning (LoRA / QLoRA) for domain-specific tasks, improving accuracy by 25% on evaluation
benchmarks
• Developed function-calling workflows enabling LLM agents to interact with REST APIs and third-party services reliably
at scale
• Containerized services with Docker and configured CI/CD on GitHub Actions

Python Developer | EON+ AI | Kyiv, Ukraine (Remote) Dec 2023 – Sep 2024
• Developed and maintained scalable FastAPI backends, integrating OpenAI API for AI-powered automation features
• Built and deployed Telegram chatbots with aiogram serving, automating 80% of routine customer-support
interactions
• Designed REST API with PostgreSQL and Redis caching, reducing average response time by 40%
• Containerized all microservices with Docker Compose and configured staging / production environments on Linux VPS

SKILLS
Languages & Frameworks: Python, FastAPI, aiogram, LangChain
AI / LLM: Large Language Models (LLMs), RAG, Model Fine-tuning (LoRA / QLoRA), Function Calling, Prompt Engineering,
Voice Agent Development, Agentic AI, OpenAI API, Pipecat, LiveKit
Databases & Storage: PostgreSQL, Redis, FAISS, Pinecone
Infrastructure & DevOps: Docker, Docker Compose, GitHub Actions (CI/CD), Linux, REST API Design
Other: Multithreading & Multiprocessing, Git

EDUCATION
Bachelor's Degree, Accounting | Vasyl Stefanyk Carpathian National UniversityIvano-Frankivsk, Ukraine | 2017 – 2021