Engineer.Innovator.BuilderofIntelligentSystems.

- Currently@ EVU Inc.
- RoleChief AI Engineer
- StatusOpen to Work
I'm Zubayer — an AI & Machine Learning Engineer with 4+ years of hands-on experience building production-grade intelligent systems. My work spans natural language processing, computer vision, and generative AI, deployed across healthcare, media, and business automation sectors.
Currently serving as Chief AI Engineer at EVU Inc., a venture-backed startup ecosystem with 250+ members, where I architect advanced NLP models, RAG pipelines, and MLOps infrastructure. Previously, I've delivered AI solutions for USAID's Breakthrough ACTION program and international media organizations.
Beyond engineering, I'm a lifelong learner and open-source contributor. I believe AI should be accessible, multilingual, and purposeful — which is why my work consistently bridges technical innovation with real human impact.
MyApproach
Precision over speed
AI systems must be reliable. I prioritize clean data, rigorous testing, and robust validation over rushing models to production.
Impact over output
Lines of code don't matter as much as business outcomes. I focus on building tools that actually solve the user's core problem.
Systems thinking first
An AI model is just one piece. I design end-to-end architectures where deployment, scale, and user experience seamlessly integrate.
Education&Certifications
AI Engineer for Data Scientists Associate
DataCamp
Introduction to Generative AI
Python Essentials 1&2
Cisco
Introduction to Large Language Models
TechnologiesIWorkWith
A curated production stack across AI research, software engineering, and cloud deployment. Each category reflects tools I actively use to design, ship, and scale intelligent applications.