Akash Doble

About Akash Doble

I am a Machine Learning Operations Engineer with more than 3.9 years of experience in designing, developing and deploying end-to-end machine learning solutions on cloud platforms. My expertise spans the full ML lifecycle, from data ingestion and preprocessing to model deployment and monitoring in production.I have built scalable and automated ML pipelines using AWS services including Glue for data extraction and transformation, Lambda for event-driven automation, and SageMaker for model training, deployment, and monitoring. I utilize AWS Step Functions to orchestrate workflows, ensuring reliable and maintainable production pipelines.In parallel, I have led MLOps initiatives using open-source tools such as Apache Airflow for workflow orchestration and MLflow for experiment tracking and model lifecycle management. I’ve implemented automated retraining pipelines triggered by performance decay or data drift, and deployed containerized models using Docker, Kubernetes, and AWS EC2 for scalable inference.My focus is on building robust, reproducible, and cost-effective ML systems that support continuous delivery of high-quality models, enabling real-time predictions and data-driven decision-making at scale.

Experience

1. Mlops Engineer

   Fractal

   Jan 2025 — Present · Bengaluru, IN

   Built and maintained modular ML pipelines orchestrated via Apache Airflow, enabling automated data processing, model training, and deployment workflows.• Utilized MLflow to track experiments, manage model metadata, and streamline model versioning and deployment lifecycle.• Designed scalable solutions for batch and real-time inference using containerized ML models hosted on AWS EC2 and Kubernetes.• Developed custom DAGs in Airflow 🧩 to trigger ML jobs based on upstream data availability, model performance thresholds, or user inputs.• Automated model retraining and deployment based on performance decay using a combination of Airflow sensors and MLflow metrics.• Led initiatives to implement model governance, auditability, and reproducibility, aligning with industry MLOps standards.

Education

• Technocrats Institute of Technology & Science, Anand Nagar, PB No. 24, Post Piplani, BHEL, Bhopal - 462021

  Bachelor of Engineering - BE

  2016 — 2020