Highlights

• Results-oriented MLOps professional with a strong background in machine learning, operations, and DevOps.


• Proven track record of deploying and managing machine learning models at scale.


• Adept at collaborating with cross-functional teams to deliver efficient and scalable solutions.


• Proficient in programming languages such as Python, and well-versed in a range of DevOps tools, cloud services, database technologies, generative AI, Langchain, LLM, and MLOps.

Skills

Primary Skills

AWS

Azure

MLOps

Secondary Skills

GIT

Jenkins

JIRA

Projects

Project 1: Teknikoz Software Pvt Ltd - IT Industry (24 months)

Duration: May 2022- Present





Role: Sr. MLOPS Engineer






• Spearheaded the implementation of MLOps practices, integrating tools such as AWS SageMaker, MLflow, Databricks, and CodePipeline to streamline machine learning model development, deployment, and monitoring processes.


• Utilized AWS CloudFormation and Terraform extensively to establish infrastructure as code, ensuring consistent and scalable deployments across various environments.


• Orchestrated Azure Pipelines for continuous integration and continuous deployment (CI/CD) automation, facilitating faster and more reliable software delivery.


• Established sequential deployment strategies for different environments, optimizing deployment processes.


• Proficiently deployed React JS, Python, and Java-based applications within the MLOps framework.


• Led the setup of CI/CD pipelines specifically tailored for machine learning and AI model deployments.


• Crafted and maintained multi-stage Dockerfiles to containerize applications and streamline deployment workflows.


• Configured CI/CD pipelines within GitHub Actions, automating various development tasks and processes.


• Automated interactions between ServiceNow and GitHub Actions, enhancing workflow efficiency.


• Developed and maintained Python scripts to automate diverse tasks and workflows within the MLOps ecosystem.


• Designed cost-effective solutions and implemented serverless architectures to optimize resource utilization and scalability.


• Managed and configured Amazon ECS clusters to efficiently deploy and scale containerized applications.


• Designed and implemented highly available and scalable RDS Aurora PostgreSQL databases to support mission-critical applications.


• Configured CloudWatch and OpenSearch for centralized logging and monitoring of both infrastructure and application components within the MLOps environment.

Project 2: Quest Global - IT Industry (10 months)

Duration: August 2021 – May 2022





Role: DevOps Engineer






• Deploying applications on Kubernetes and ECS.


• Creating and managing CI/CD pipeline in Jenkins.


• Deployed application on Ec2, Nginx and apache server.


• Implemented and managed Kubernetes clusters for container orchestration, ensuring scalability and high availability of microservices-based applications.


• Managing and creating infrastructure on Aws using CloudFormation & Terraform


• Utilized Helm charts and Kubernetes operators to streamline deployment, configuration, and management of applications within Kubernetes environments.


• Implemented best practices for Kubernetes resource optimization, including pod autoscaling and resource quotas, to improve efficiency and cost-effectiveness.


• Configured and maintained S3 for scalable and durable object storage.


• Configured alerting and notification mechanisms to proactively identify and address issues, ensuring system reliability and uptime.

Project 3: Selling Simplified - IT Industry (29 months)

Duration: Mar 2019 – July 2021





Role: Jr. DevOps Engineer






• Developed and maintained CI/CD pipelines using Jenkins, AWS CodePipeline to automate the build, test, and deployment processes.


• Deploying Web based application on Ec2, Nginx, godaddy, hostinger.


• Purchasing and setup domain for new application.


• Worked on managing and configuring ECS clusters.


• Worked on managing and configure API Gateway with lambda.


• Worked Troubleshooting Jenkins pipelines and issues.

Awards

• AWS Certified CloudPractitioner
• AWS Certified Solution Architect SAA-CO3
• Azure AI-900
• Google LLM