Ben Butmir
Staff Product Engineer at BoomBand
Ottawa, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolBen Butmir is a Staff Product Engineer and entrepreneurial technologist with 7 years of experience building AI-driven, full‑stack systems from research prototypes to production at scale. He combines hands-on expertise in Python, Django, React, PostgreSQL, Docker/Kubernetes and cloud platforms (AWS/GCP) with a track record of architecting conversational AI, RAG pipelines and LLM integrations that materially improved user engagement and retrieval performance. Ben has led cross-functional teams and platform overhauls that cut deployment times by over 60% and improved developer velocity through CI/CD, observability and modular service design. He founded and exited an AI recruitment startup, bringing product instinct and growth-focused engineering to his roles, and has delivered public‑sector AI tools that boosted data processing speeds by up to 90%. Known for mentoring engineers and standardizing best practices, he blends scientific rigor from a biochemistry background with practical ML/NLP engineering to solve complex, data‑heavy problems.
7 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.Sc.), Biochemistry, Bachelor of Science (B.Sc.), Biochemistry at Carleton University
English, Croatian, French
Github Skills (18)
conventional-commits4
clubhouse4
conventional-changelog4
django4
docker3
react3
docker-compose3
verify3
jira3
typescript2
postgresql2
javascript2
django-react2
graphql2
compliance2
Programming languages (4)
Github contributions (5)
Mexmorize/full-stack-skeleton
Dec 2022 - Feb 2024
Building a dockerized full-stack-skeleton that can be a starting point for other projects. **NOTE: Website link to repo meta-data.**
Contributions:26 PRs, 55 pushes, 20 branches in 1 year 2 months
docker-postgresreactdjango-dockerreact-graphqldjango-rest-framework
PHACDataHub/DSCO-experimental-web-app-platform
Jan 2023 - Nov 2023
Experimental containerized full-stack web application reference implementation
Contributions:6 reviews, 44 PRs, 100 pushes in 10 months
djangodockerdocker-composegraphqlpgadmin4
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