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oleksii_makeiev

Oleksii Makeiev

@oleksii_makeiev

AI Engineer

Ucrânia
Inglês, Ucraniano, Eslovaco, Russo
Algumas informações são exibidas no idioma inglês.
Sobre mim
I’m Oleksii, a professional AI Engineer and Backend Developer with a background at N-iX, a global software engineering firm. I specialize in turning complex AI research into stable, scalable, and observable production systems.... Saiba mais

Habilidades

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oleksii_makeiev
Oleksii Makeiev
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Software e Sites de IA
I will build an enterprise saas, legal, fintech ai agent or rag system
Redação de Roteiro
I will versatile custom python scripting, debugging, and automation

Portfólio

Experiência profissional

Python Developer

N-iX • Período integral

Nov 2023 - Present2 yrs 6 mos

Worked on two projects: 1.Development of an AI assistant for a large international technology company. 2.Development of a turnkey e-commerce website for a foreign client. Project 1: Enterprise AI Agent for Global Tech Company ◉ High-Precision Email Classification: Engineered a GPT-4o mini pipeline to categorize incoming user inquiries (FAQs, Complaints, Returns). Achieved 94.2% accuracy with a confidence score > 90%, enabling 100% automated ticket routing and eliminating manual sorting. ◉ Resilient Fallback Architecture: Designed a multi-LLM failover architecture (OpenAI -> Anthropic), achieving zero downtime during provider outages. ◉ Big Data Performance: Processed massive datasets using Polars, achieving sub-second multi-threaded preprocessing. ◉ Production-Grade Advanced RAG: Implemented Hybrid Search (Qdrant + LlamaIndex) with RAGAS validation, ensuring elite-level context precision. Project 2: High-Performance E-commerce Ecosystem ◉ Backend Optimization: Slashed API response times to <90ms via Redis caching and PostgreSQL query optimization. ◉ Checkout Reliability: Reduced transaction errors by 25% through a robust cart module rewrite and Sentry monitoring. ◉ Scalable Architecture: Optimized Django ORM, resulting in 40.1% faster catalog loading for high-traffic environments. ◉ Agile Delivery: Improved sprint velocity by 15% through expert task estimation and technical leadership in Scrum. Technologies: Python, FastAPI, Polars, OpenAI API, LlamaIndex, Qdrant, Structlog, Django REST Framework, PostgreSQL, Redis, Celery, Docker, Git, GitHub, GitLab CI/CD.