Venkatesh Beeraka

About Venkatesh Beeraka

As a seasoned MLOps and DevOps Consultant with over 5 years of hands-on experience in cloud migrations, infrastructure automation, and machine learning operations, I specialize in bridging the gap between development, data science, and scalable AI deployments. Starting my career in December 2019 as an Azure DevOps Engineer, I\'ve evolved into a versatile expert, driving transformative projects and leveraging cutting-edge tools to deliver high-impact solutions.In my early roles, I spearheaded multiple cloud migration initiatives, transitioning on-premises applications and websites to Azure environments. This involved designing robust CI/CD pipelines with Azure DevOps, GitHub, Terraform, YAML, Python, PostgreSQL, MSSQL, and Azure App Services—resulting in seamless, efficient deployments that minimized downtime and boosted operational agility. These experiences honed my proficiency in infrastructure as code (IaC) and hybrid cloud setups, setting a strong foundation for my pivot into AI and ML.Transitioning to MLOps, I architected end-to-end MLOps pipelines for diverse projects, including solutions that enhanced customer growth through recommendation systems and data-driven use cases. Utilizing Azure ML, Azure Data Factory, GitHub, Python, and Unity Catalog on Databricks, I automated ML model training, monitoring, and deployment while establishing organization-wide workflows and governance guidelines. I also managed data engineering tasks, CI/CD for enterprise applications, and Databricks administration, integrating REST APIs, Shell scripting, and Terraform to create resilient, scalable systems. This phase not only expanded my technical depth but also sharpened my soft skills in cross-functional collaboration and stakeholder guidance.Currently serving as an MLOps Consultant, I\'m immersing myself in advanced LLM integrations and MLOps strategies, poised to accelerate AI innovation in dynamic environments. My toolkit spans Azure Cloud, Bicep, Terraform, Python, Azure ML, and beyond, complemented by a Postgraduate certification in Machine Learning and Artificial Intelligence.Passionate about fostering innovation through teamwork, I thrive on solving complex challenges that blend DevOps efficiency with ML scalability. Let\'s connect to explore how my expertise can elevate your projects!

Experience

1. Consultant

   Deloitte

   Jun 2025 — Present · Hyderabad, IN

   Contributing to a RAG application project by leading DevOps CI/CD initiatives, designing pipelines with GitHub and YAML to automate builds, tests, and deployments; concurrently gaining hands-on experience in Python REST API backend development and PostgreSQL database operations, enhancing application reliability and integration in the ongoing implementation phase.• Embarking on a comprehensive MLOps project, managing operational aspects for multiple data science use cases; leveraging tools like GitHub, YAML, Argo CD, Snowflake, AWS, Metaflow, and Streamlit to streamline workflows, monitor models, and ensure scalable deployments, while rapidly building expertise in end-to-end AI operations.

Education

• GIET College of Engineering, NH-5, Chaitanya Knowledge City, Rajahmundry, PIN -533296 (CC-6R)

  Bachelor of Technology - BTech, Electronics and Communications Engineering

• International Institute of Information Technology Bangalore

  Postgraduate Degree, Machine Learning and Artificial Intelligence