Meet Our Expert Trainers
Working Cloud, DevOps and AI professionals who teach with the tools and processes teams use every day.

Prashant Gavate
DevOps Engineer and Trainer

Gaurav Halnawar
DevOps Engineer and Trainer

Pavan Khandare
Lead Data Scientist and Trainer

Prashant Gavate
DevOps Engineer and Trainer
Prashant is a DevOps engineer who bridges the gap between software development and operations teams to deliver quality software efficiently. He has worked with continuous integration and delivery (CI/CD) and infrastructure as code practices, collaborating with developers and operations teams to improve how software is delivered.
A proactive problem-solver, he brings the same hands-on approach to the classroom: practical sessions built around the tools and processes teams use at work.
- Kubernetes and Cloud Native Associate (KCNA)
- Certified Kubernetes Application Developer (CKAD)
Earlier certifications: AWS Certified SysOps Administrator – Associate, AWS Certified Solutions Architect – Associate and Certified Kubernetes Administrator (CKA).

Gaurav Halnawar
DevOps Engineer and Trainer
Gaurav is a DevOps engineer focused on simplifying complex cloud and DevSecOps systems. He builds scalable, automated and secure systems using AWS, Azure DevOps, Kubernetes, Terraform and CI/CD practices that reduce operational friction.
He has worked in production environments: handling deployments, debugging real issues and supporting on-call operations. In class he teaches the same way, with a focus on making systems work reliably under pressure.
- AWS Certified Cloud Practitioner

Pavan Khandare
Lead Data Scientist and Trainer
Pavan is a data science consultant with expertise in machine learning, deep learning and generative AI. His work covers natural language processing, computer vision, time series analysis and recommender systems, using AI to extract insights, optimise business strategy and improve decision-making.
He has worked on AI-driven customer insights, marketing analytics, sales forecasting and revenue optimisation, and on scalable AI solutions with AWS SageMaker, Azure AI and Spark. In class he works to bridge the gap between research and industry applications.
- Deep Learning with TensorFlow (IBM)
- Data Analytics with Python (IBM)
- Artificial Intelligence with Python (Great Learning)
Earlier certifications: Masters Program in Data Science (Simplilearn), Data Science with R Programming (Simplilearn), Python for Data Science (IBM), Tableau Desktop 10 and Business Analytics with Excel (Simplilearn).