AI Engineer & Full-Stack Architect | Healthcare Data Scientist I am a Polyglot Engineer and Co-Founder of Aiskyra, where I architected a HIPAA-compliant RAG system currently serving 650+ pharmacists across Canada. I combine deep clinical knowledge (M.Sc. Pharmaceutical Sciences) with production-level engineering to build software that solves complex real-world problems. Key Achievements: • Built Production AI: Engineered multi-agent workflows (LLMs, Vector DBs) that reduced medication lookup times by 80% for 12.5k+ queries. • Full-Stack Delivery: Secured enterprise partnerships and closed international deals by building robust platforms using React, Python, and FastAPI. • Data Science: Author of 4 peer-reviewed publications utilizing R and Python for complex econometric modeling. Tech Stack: Python, TypeScript/React, Rust, R, AWS, Docker, OpenAI/Anthropic APIs. Check out my code: github.com/OlexiyPukhov

Olexiy Pukhov

PRO

AI Engineer & Full-Stack Architect | Healthcare Data Scientist I am a Polyglot Engineer and Co-Founder of Aiskyra, where I architected a HIPAA-compliant RAG system currently serving 650+ pharmacists across Canada. I combine deep clinical knowledge (M.Sc. Pharmaceutical Sciences) with production-level engineering to build software that solves complex real-world problems. Key Achievements: • Built Production AI: Engineered multi-agent workflows (LLMs, Vector DBs) that reduced medication lookup times by 80% for 12.5k+ queries. • Full-Stack Delivery: Secured enterprise partnerships and closed international deals by building robust platforms using React, Python, and FastAPI. • Data Science: Author of 4 peer-reviewed publications utilizing R and Python for complex econometric modeling. Tech Stack: Python, TypeScript/React, Rust, R, AWS, Docker, OpenAI/Anthropic APIs. Check out my code: github.com/OlexiyPukhov

Available to hire

AI Engineer & Full-Stack Architect | Healthcare Data Scientist
I am a Polyglot Engineer and Co-Founder of Aiskyra, where I architected a HIPAA-compliant RAG system currently serving 650+ pharmacists across Canada. I combine deep clinical knowledge (M.Sc. Pharmaceutical Sciences) with production-level engineering to build software that solves complex real-world problems.
Key Achievements:
• Built Production AI: Engineered multi-agent workflows (LLMs, Vector DBs) that reduced medication lookup times by 80% for 12.5k+ queries.
• Full-Stack Delivery: Secured enterprise partnerships and closed international deals by building robust platforms using React, Python, and FastAPI.
• Data Science: Author of 4 peer-reviewed publications utilizing R and Python for complex econometric modeling.
Tech Stack: Python, TypeScript/React, Rust, R, AWS, Docker, OpenAI/Anthropic APIs.
Check out my code: github.com/OlexiyPukhov

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
Russian
Fluent
Ukrainian
Fluent
Japanese
Fluent
Chinese
Beginner

Work Experience

Research Associate at University of Toronto
September 1, 2024 - Present
Co‑authored a $75k NI IA grant proposal; contributed to peer‑reviewed research on pharmacy workforce dynamics in Canada; worked with longit dinal data spans and LMLOps‑style analytics to support policy and academic outputs.
Founding Engineer & Co-Founder at Aiskyra (Health care AI Startup)
April 1, 2024 - Present
Architected HIPAA‑compliant RAG system powering 12,500+ clinician queries across 650+ pharmacists; led end-to-end platform development and secure enterprise partnerships with Med Essist and international health care clients. Self‑taught polyglot developer with expertise across Python, R, TypeScript, Rust, and 6+ additional languages. Built automated operational pipelines (incl. 8n workflows) and contributed to product-market fit, resulting in a major API deal pipeline (initial upfront and ARR potential).
Graduate Researcher at University of Toronto
May 1, 2022 - June 1, 2025
Conducted research on pharmacy workforce dynamics in Canada, integrating longitudinal data spanning 2015–2024; applied econometric and machine learning methods (Python, R) to inform work‑force planning and health policy; co‑authored first‑author publications resulting from MSc thesis.

Education

Master of Science, Pharmacy Data Science at University of Toronto
May 1, 2022 - June 1, 2025
Doctor of Pharmacy at University of Toronto
January 1, 2017 - December 31, 2021

Qualifications

Google Data Analytics Certificate
January 1, 2024 - December 16, 2025

Industry Experience

Healthcare, Life Sciences, Software & Internet, Education, Professional Services