Alexandru Burlacu is an ML MLOps consultant with a decade of experience building end-to-end ML systems, leading teams, and scaling production workflows for NLP, CV and time-series problems. He combines hands-on model development (custom LLM-based systems, classification, NER) with infrastructure and tooling expertise—IaC, experiment tracking, Ray Serve and cost-efficient serving—to make ML initiatives reproducible and production-ready. As a former ClearML software lead and long-time consultant at Toptal, he improves developer experience and advises startups on lean MLOps practices that prioritize elasticity and supply-chain safety through open-source models. He has repeatedly reduced operational friction—shortening deploy times, establishing observability, and instituting code-review and agile processes—while mentoring junior engineers into productive contributors. Based in Chișinău and operating for Swiss clients, he blends research-grade experiment discipline (Optuna/MLFlow/Papermill) with pragmatic product prioritization across technical and non-technical stakeholders. An early founder and NGO organizer, he brings entrepreneurial grit and a knack for turning exploratory experiments into scalable production systems.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree Robotics, Bachelor's degree Robotics at Aalborg University
Graduate, Graduate at Founder Institute
Participant Artificial Intelligence, Participant Artificial Intelligence at EEML Summer School
Participant, Participant at Study Tours to Poland Program
Master's degree Computer Science, Master's degree Computer Science at Universitatea „Ștefan cel Mare” din Suceava
Master's degree Computer Science, Master's degree Computer Science at Universitatea Tehnică a Moldovei
English, Russian, Romanian, french (can order more than one croissant)
Keras implementation of Squeeze Net architecture described in arXiv : 1602.07360v3 (https://arxiv.org/pdf/1602.07360.pdf)
Contributions:4 PRs, 44 pushes, 1 branch in 3 years 6 months
arxivpdfdeep-learningsqueezetensorflow
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