Olexiy Pukhov
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. Sc.
About
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
- 4 years' experience
- Joined December 2025
Languages
- EnglishFluent
- RussianFluent
- UkrainianFluent
- JapaneseFluent
- ChineseBeginner
Industry experience
- Healthcare
- Life Sciences
- Software & Internet
- Education
- Professional Services
Work experience
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.
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).
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
Certifications and awards
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