Ajay Jadhav

About Ajay Jadhav

Python Developer, Data, Cloud & Machine Learning Engineer with 7+ years of progressive experience in designing, developing, deploying, and supporting scalable, cloud-native applications and data-driven solutions. Strong expertise in Python backend development using FastAPI and Flask, combined with deep hands-on experience across AWS and GCP cloud platforms.• Proven ability to build and automate end-to-end ML workflows, including data ingestion, model training, evaluation, versioning, deployment, and monitoring. Experienced in developing and deploying classification models using Random Forest, Gradient Boosting, and other machine learning algorithms to deliver actionable business insights.• Extensive experience with AWS services including Lambda, S3, SNS, SQS, CodePipeline, ECR, Secrets Manager, SageMaker, CloudFormation, EventBridge, and infrastructure components such as EC2, VPC, IAM, Elastic Load Balancer, Route 53, and Auto Scaling. Strong background in GCP services including Cloud Storage, Cloud Functions, BigQuery, and Apache Airflow (Cloud Composer).• Highly skilled in workflow orchestration and CI/CD automation, with hands-on experience writing Python-based Apache Airflow DAGs for data pipelines and ML workflows, as well as developing Python-driven Github action pipelines to automate build, test, and deployment processes.• Expert in DevOps, Infrastructure as Code, and observability, with practical experience in Jenkins pipeline and freestyle jobs using Python, Pulumi and Docker, Datadog dashboard creation and alerting, datadog and Kibana-based logging and monitoring.• Solid proficiency in Python programming and tools for machine learning, enabling the successful deployment of predictive models that drive business insights.• Deep familiarity with AWS services such as EC2, S3, Glacier, Elastic Load Balancer (ELB), IAM, Route 53, VPC, Auto Scaling, CloudFront, CloudWatch, CloudFormation, SNS, SQS, Lambda and for GCP Cloud storage, Cloud function, Big query and Airflow cloud composer.• Expertise in troubleshooting, monitoring, and optimizing ML systems, ensuring that models are continuously retrained and perform efficiently.• Developed Python-based automation scripts to automate complex tasks.• Skilled in troubleshooting, monitoring, and optimizing ML systems to ensure continuous retraining, model performance, and reliability.• Collaborative team player with excellent problem-solving and debugging skills, and iterative improvement of ML systems.

Experience

1. Senior Software Engineer

   CitiusTech

   Feb 2025 — Present · Mumbai, IN

Education

• Ramrao Adik Institute of Technology

  Bachelor's degree, Instrumentation Technology/Technician

  2014 — 2017