Milky Bekele
@milkybekele
Engineering leader specializing in scalable systems, MLOps, and AI-driven products.
What I'm looking for
I am a results-driven engineering leader with 4+ years leading cross-functional teams to design, develop, and deploy scalable front-end and back-end systems. I specialize in end-to-end system architecture, SaaS platforms, and integrating LLMs, AWS, and advanced vector databases.
At Ozone and Adludio I drove measurable business impact: lifting daily revenue through enriched targeting, cutting GCP costs via redesigned workflows, and improving client engagement and creative efficiency with real-time conversational systems and AI-driven tooling. I routinely run large-scale analyses in BigQuery and productionise ML pipelines with dbt, automated training/inference, and robust CI/CD.
I lead with a product-focused, collaborative ethos—applying agile practices to speed delivery, mentoring teams, and building reproducible MLOps and full-stack solutions that improve system performance, user engagement, and operational efficiency.
Experience
Work history, roles, and key accomplishments
Data Scientist & MLOps Engineer
Ozone
Nov 2024 - Present (10 months)
Enriched ad inventory and engineered features and models that lifted daily revenue by 66% for Anonymous ID and 7.6% for PUBCID (projected $1M+ annual), reduced GCP costs by $89/day, and automated daily training/inference to tighten reproducibility.
Lead Machine Learning Engineer
Adludio
May 2022 - Sep 2024 (2 years 4 months)
Led development of real-time conversational and creative tooling that increased client engagement 30%, reduced concept creation time by 95%, improved creative efficiency 80%, and raised ad performance 5–10% for 20% of campaigns.
Intern Software Engineer
iCog Labs
Mar 2019 - Sep 2019 (6 months)
Developed a React-based web visualization tool that reduced simulation time from a week to a day and contributed to cross-functional projects improving team efficiency.
Education
Degrees, certifications, and relevant coursework
10 Academy
Training / Certificate, Data Science and Machine Learning
2021 - 2021
Grade: Distinction – Summa Cum Laude
Activities and societies: Training focused on ELT/ETL pipeline design, data analysis, dashboarding, modeling, evaluation, and deployment.
Completed an intensive Data Science and Machine Learning training program with distinction, covering data pipelines, analysis, modeling, and MLOps.
Addis Ababa University
Bachelor of Science, Software Engineering
2015 - 2020
Grade: CGPA: 3.78/4 – Very Great Distinction (Summa Cum Laude)
Activities and societies: Internship at iCog Labs (2019); coursework in Programming, Software Engineering, Operating Systems, Web & Mobile Development, AI, and Big Data.
Completed a Bachelor of Science in Software Engineering with Very Great Distinction (CGPA: 3.78/4), graduating Summa Cum Laude and ranked in the top 5%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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