Open to opportunities

Oleksandr Pshenychniak

@oleksandrpshenychnia

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Senior AI and Full-Stack Engineer delivering production-grade web and LLM-powered systems.

Ukraine

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What I'm looking for

I seek a role owning end-to-end AI and web systems where I can lead architecture, scale products, mentor teams, and deliver measurable business impact.

I am a Senior AI Engineer and Full-Stack Engineer with 8+ years building, deploying, and scaling production web and AI systems. I specialize in architecting end-to-end solutions—data pipelines, microservices, LLM integrations, and monitoring—that drive measurable business outcomes.

I have led teams and projects that serve tens of thousands of users, reduced latency and operational costs, and improved model accuracy through RAG, embeddings, fine-tuning, and automation. I prioritize reliability, performance, and cost-efficiency while delivering features that materially improve user experience and business metrics.

Experience

Work history, roles, and key accomplishments

Current

Tech Lead / Senior AI Engineer

Current

CheckEye

May 2024 - Present (1 year 8 months)

Architected and scaled an AI-powered SaaS platform serving 20K+ monthly active users with 99.9% uptime; built LLM-driven features that reduced user task completion time by 45% and designed microservices processing 1M+ requests/day at sub-200ms latency.

LLM RAG Vector Databases Microservices AWS Docker GitHub Actions Python REST APIs

Senior Backend & AI Engineer

Respeecher

Nov 2021 - Feb 2024 (2 years 3 months)

Built and scaled backend systems handling 100K+ daily API requests with sub-200ms responses; integrated production ML models improving prediction accuracy by 18% and designed Azure-based training/inference pipelines to increase batch throughput 2.5x.

Python TensorFlow scikit learn PostgreSQL Redis Azure API Design Pytest

AI / Full-Stack Engineer

Preply

Feb 2019 - Aug 2021 (2 years 6 months)

Built NLP-powered chatbots and automation systems used by 100K+ users, cutting support response time by 60% and developed production ML inference APIs that improved response speed by 35%.

NLP Django Flask React A B Testing Model Monitoring Python JavaScript

Software Engineer

KindGeek

Jun 2016 - Oct 2018 (2 years 4 months)

Delivered AI-enhanced web and mobile products serving 10K+ users, increasing engagement by 25% and built recommendation/personalization systems using collaborative filtering.

REST APIs Background Workers Recommendation Systems Python PostgreSQL JavaScript

Education

Degrees, certifications, and relevant coursework

National University of Kyiv-Mohyla Academy

Bachelor of Computer Science, Computer Science

2010 - 2014

Grade: 4.0 / 4.0

Completed a Bachelor of Computer Science degree with a 4.0/4.0 GPA, covering core computer science fundamentals and applied software engineering topics.