Summary
Daniil Pankieiev is an AI Python Engineer with two years of hands-on experience building production-ready microservices and AI integrations, currently driving speech-to-text and real-time transcription features at Datavise. He specializes in Python backends (Django, FastAPI) and end-to-end AI architecture—fine-tuning domain models, deploying RAG systems, and connecting vector databases and streaming platforms like Kafka. Comfortable across the stack, Daniil has built secure REST APIs, containerized workflows with Docker, orchestrated tasks via Airflow/Celery, and optimized performance through pragmatic refactoring and testing. His background includes freelance projects that combined backend engineering, payment integrations, and frontend work, showing a practical full-stack mindset beyond pure ML engineering. Fluent in deploying ML into user-facing products, he pairs academic computer science training with a knack for turning transcription and summarization research into reliable services.
2 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National Metallurgical Academy of Ukraine
Polish, English, Russian, Ukrainian