ML AND AI ENGINEER
Building production-ready machine learning systems with modern MLOps practices. Specialized in end-to-end ML pipelines, AWS cloud infrastructure, and automated deployment workflows. Turning data into actionable insights and scalable solutions.
I am Sakib Hasan, a Machine Learning and AI Engineer specializing in building intelligent applications, LLM-powered systems, and production-ready AI solutions. My expertise includes Generative AI, Retrieval-Augmented Generation (RAG), AI Agents, MLOps, backend development, and cloud deployment.
I enjoy designing scalable AI systems that combine clean architecture with exceptional user experience. My goal is to transform complex AI ideas into reliable, efficient, and user-friendly products that solve real-world problems.
I am passionate about open-source technologies, continuous learning, and creating innovative AI solutions that deliver meaningful impact.
AI & Machine Learning
Generative AI
Backend & APIs
Cloud & MLOps
Currently Building
Tools & Platforms
Reviews
Michael Carter
Sakib delivered exactly what we needed. The AI automation saved our team hours every week and the communication throughout the project was excellent.
Emily Johnson
Professional, fast, and highly skilled. The workflow automation exceeded expectations and was deployed without any issues.
David Wilson
Great experience working together. The ML solution was well documented, scalable, and delivered before the deadline.
Sophia Martinez
Working with Sakib was effortless. He understood our requirements immediately and built an AI workflow that significantly improved our response time and overall productivity.
James Anderson
Excellent communication and outstanding technical skills. The automation was reliable, clean, and delivered ahead of schedule. I would definitely work with him again.
Work
Present
- Built production-ready AI agents using modern LLM frameworks
- Developed RAG systems and intelligent workflow automation
- Delivered custom Generative AI solutions for international clients
- Improved machine learning models and evaluation pipelines
- Worked on dataset preparation and model optimization
- Contributed to AI research and production-quality ML workflows
- Improved customer retention by 18% through production churn prediction models
- Reduced deployment time by 60% using Docker, AWS ECS/ECR and CI/CD
- Built PySpark and SQL pipelines processing over 1M records daily
- Built statistical models for customer behavior analysis
- Developed Tableau dashboards reducing ad-hoc reporting by ~40%
- Partnered with marketing and product teams to deliver business insights