Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a Lead MLOps Engineer with 10+ years of experience building production-grade ML platforms, scalable data pipelines, and cloud-native AI systems across healthtech, fintech, and industrial intelligence. I have a strong background in ML engineering, end-to-end MLOps lifecycle design, CI/CD automation, and ML governance. I enjoy leading cross-functional teams, setting technical direction, and building reusable frameworks that accelerate model deployment and monitoring at scale. I bridge data science, infrastructure, and business stakeholders to deliver reliable, compliant, and high-impact ML solutions. I am passionate about elevating production ML through scalable platforms, governance, and ethical AI. I thrive in fast-paced environments, enjoy mentoring engineers, align technical strategy with operational needs, and pursue measurable outcomes.…I am a Lead MLOps Engineer with 10+ years of experience building production-grade ML platforms, scalable data pipelines, and cloud-native AI systems across healthtech, fintech, and industrial intelligence. I have a strong background in ML engineering, end-to-end MLOps lifecycle design, CI/CD automation, and ML governance. I enjoy leading cross-functional teams, setting technical direction, and building reusable frameworks that accelerate model deployment and monitoring at scale. I bridge data science, infrastructure, and business stakeholders to deliver reliable, compliant, and high-impact ML solutions. I am passionate about elevating production ML through scalable platforms, governance, and ethical AI. I thrive in fast-paced environments, enjoy mentoring engineers, align technical strategy with operational needs, and pursue measurable outcomes.

A.K.M. Mazedul Haque

Data Scientist, AI Engineer, Full Stack Developer, +2





I am a Lead MLOps Engineer with 10+ years of experience building production-grade ML platforms, scalable data pipelines, and cloud-native AI systems across healthtech, fintech, and industrial intelligence. I have a strong background in ML engineering, end-to-end MLOps lifecycle design, CI/CD automation, and ML governance. I enjoy leading cross-functional teams, setting technical direction, and building reusable frameworks that accelerate model deployment and monitoring at scale. I bridge data science, infrastructure, and business stakeholders to deliver reliable, compliant, and high-impact ML solutions. I am passionate about elevating production ML through scalable platforms, governance, and ethical AI. I thrive in fast-paced environments, enjoy mentoring engineers, align technical strategy with operational needs, and pursue measurable outcomes.…I am a Lead MLOps Engineer with 10+ years of experience building production-grade ML platforms, scalable data pipelines, and cloud-native AI systems across healthtech, fintech, and industrial intelligence. I have a strong background in ML engineering, end-to-end MLOps lifecycle design, CI/CD automation, and ML governance. I enjoy leading cross-functional teams, setting technical direction, and building reusable frameworks that accelerate model deployment and monitoring at scale. I bridge data science, infrastructure, and business stakeholders to deliver reliable, compliant, and high-impact ML solutions. I am passionate about elevating production ML through scalable platforms, governance, and ethical AI. I thrive in fast-paced environments, enjoy mentoring engineers, align technical strategy with operational needs, and pursue measurable outcomes.

Available to hire

I am a Lead MLOps Engineer with 10+ years of experience building production-grade ML platforms, scalable data pipelines, and cloud-native AI systems across healthtech, fintech, and industrial intelligence. I have a strong background in ML engineering, end-to-end MLOps lifecycle design, CI/CD automation, and ML governance. I enjoy leading cross-functional teams, setting technical direction, and building reusable frameworks that accelerate model deployment and monitoring at scale. I bridge data science, infrastructure, and business stakeholders to deliver reliable, compliant, and high-impact ML solutions.

I am passionate about elevating production ML through scalable platforms, governance, and ethical AI. I thrive in fast-paced environments, enjoy mentoring engineers, align technical strategy with operational needs, and pursue measurable outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Lead IoT, Data & MLOps Engineer at Elite Force Securities Ltd

July 1, 2019 - Present

Built and maintained end-to-end MLOps pipelines using Airflow, MLflow, Docker, and GitHub Actions, reducing model deployment cycles from weeks to hours. Designed scalable CI/CD workflows enabling reproducible model builds, automated testing, and continuous rollout of ML and analytics services. Created reusable MLOps components —model registries, feature pipelines, monitoring dashboards —empowering data scientists to deploy independently. Engineered real-time data ingestion pipelines handling 10,000+ events/sec from drones and sensors, integrating Spark, Kafka, and AWS IoT. Deployed ML models for anomaly detection and predictive maintenance, improving threat-detection reliability by 35%. Led cross-functional teams across engineering, product, and operations to integrate ML-driven automation into surveillance and industrial systems.

Data Scientist (Fellow), Computational Oncology at BMRC — Bangladesh Medical Research Council

June 1, 2023 - Present

Designed multi-omics pipelines using TCGA and cBioPortal datasets; processed genomics profiles for 1,500+ patients. Built ML/AI models for biomarker discovery and survival prediction, achieving 90%+ AUC/accuracy across multiple cancer subtypes. Architected cloud-based genomic analytics environment (AWS/GCP) with reproducible workflow orchestration and data governance. Established model documentation, explainability (XAI), and validation workflows aligned with ethical AI guidelines. Coordinated with clinicians and researchers to translate ML insights into actionable decision-support tools.

MIS Manager / Lead Data & MLOps Engineer at gProjukti.com

October 1, 2022 - November 1, 2023

Led the AI, data engineering, and platform engineering teams to build a next-gen ERP and retail intelligence ecosystem. Designed and deployed central data lakehouse architecture integrating POS, CRM, and finance systems; reduced reporting latency by 50%. Built speech-recognition-driven POS automation using TensorFlow and FastAPI, increasing operational speed by 28%. Established full ML lifecycle workflows —model versioning, experiment tracking, CI/CD, monitoring —which accelerated iteration cycles by 40%. Architected cloud microservices and scalable PostgreSQL schema supporting 500+ daily active users and 5TB+ data.

IoT Engineer at ENAiKOON

April 1, 2020 - June 1, 2022

Developed predictive UV-C automation system with sensor fusion and ML-driven control logic. Built lightweight edge analytics and cloud-based monitoring using AWS IoT and Flask APIs. Improved energy efficiency by 25% through algorithmic optimization.

Chief Technology Officer at Techno MasPar International

May 1, 2018 - November 1, 2022

Directed AI, IoT, and robotics strategy while managing multi-disciplinary engineering teams. Designed real-time AI-driven security and robotics platforms deployed across 15+ industrial sites. Oversaw full ML/AI product lifecycle—from ideation to deployment, monitoring, and scaling.