Suhail Ahmed
MLops and DevOps Trainer
Habilidades
Revisa mis servicios


Experiencia laboral
Machine Learning Trainer
Freelancer.com • Freelance
Feb 2020 - Present • 6 yrs 3 mos
• Teaching students since 2020, delivering multiple training batches and practical sessions. • Delivered hands-on training in Python, machine learning algorithms, and key libraries. • Covered end-to-end ML pipelines including data ingestion, preprocessing, and transformation. • Taught feature engineering, model building, and model evaluation techniques. • Covered core algorithms including regression, classification, and clustering. • Introduced MLOps practices using MLflow for experiment tracking and model deployment. • Provided practical experience with Docker for containerizing ML applications. • Mentored students on real-world ML projects, improving practical and problem-solving skills.
DevOps Instructor
Genetech Solutions • Tiempo completo
Feb 2022 - Aug 2024 • 2 yrs 6 mos
• Trained 300+ students over one year and conducted 4 internship programs. • Delivered hands-on training in Git, Jenkins, and CI/CD pipelines. • Provided practical experience with Docker and Kubernetes for containerization and orchestration. • Introduced cloud and infrastructure tools including AWS and Terraform. • Mentored students on real-world DevOps projects, enhancing practical skills and job readiness.
Machine Learning Instructor
WinTech Software Solutions • Tiempo completo
Aug 2018 - Oct 2021 • 3 yrs 2 mos
• Trained 1000+ students over 3 years and conducted 6 internship programs. • Delivered hands-on training in Python, machine learning algorithms, and key libraries. • Covered end-to-end ML pipelines including data ingestion, preprocessing, and transformation. • Taught feature engineering, model building, and model evaluation techniques. • Covered core algorithms including regression, classification, and clustering. • Introduced MLOps practices using MLflow for experiment tracking and model deployment. • Provided practical experience with Docker for containerizing ML applications. • Mentored students on real-world ML projects, improving practical and problem-solving skills.