Enthusiastic Engineer eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Motivated to learn, grow and excel in DevOps/CloudOps and MLOps engineering, AI and software development.
Leading DevOps boot-camp that offers training in contemporary DevOps principles, tooling, and best practices by fostering hands-on sessions, covering cloud computing, version control, infrastructure as code, continuous integration, containerization, orchestration, and monitoring.
Established an end-to-end (CI/CD) pipeline using GitOps for deploying trained models to AWS Sagemaker or backend logic to production or development environments. This reduced operational overhead by 20%.
Engaged in ML model work, involving research, model configuration, and data engineering for classifying or segmenting medical images. This improved the ROC curve, Training accuracy by 19%.
Ensured consistency and scalability by maintaining and updating infrastructure using Infrastructure as Code (IaC) tools, such as Terraform and Serverless.
Developed AWS Lambda functions in Python to manage backend requests for model predictions
Deployed and orchestrated 50+ software components including FastApi, ReactJs, Nodejs, and some PHP.
Collaborated with Products, Dev and AI teams to streamline processes, improving the time to ship releases by 15%.
Introduced the adoption of Monitoring tools such as AWS Cloudwatch, Cloudwatch Logs and EFK to increase visibility and and actively improve troubleshooting times.
Back End Developer
Dowell Research India | Aug 2022 - Jun 2023
Python
Django
Git
Constructed APIs and data clients for efficient API utilization.
Engineered flexible, reusable code and libraries for future applications.
Developed server-side logic and authored comprehensive API documentation.
Education
Develeap
DevOps Engineering Diplomaă»DevOps Engineering
Oct 2022 - Aug 2023
Udacity
Full Stack Developer Nanodegreeă»Full Stack Developer