Jan 2025 – Jul 2025 · 6 mos · Gurugram, Haryana, India · Remote

• Project: Merck
• Proficiency in end-to-end ML pipeline development(CI/CT/CD), including data ingestion, model deployment ,monitoring, and retraining via Dataiku and Databricks
• Experience with model deployment and monitoring using AWS SageMaker, Databricks, MLflow, Kubernetes, Prometheus, Grafana, and Evidently.AI to ensure model reliability and performance.
• .Experience in creating Agentic AI chatbot using RAG from scratch on Dataiku and Databricks platform
• Strong understanding of CI/CD and automation with tools like Jenkins, GitHub Actions, Apache Airflow, Docker, Kubernetes, and KFDL for seamless model deployment and updates.
• Knowledge of model drift detection and retraining strategies, including feature stores, concept drift detection,AutoML, and A/B testing to maintain model accuracy.
• Expertise in cost optimization and performance tuning, leveraging AWS Lambda, Spot Instances, and Auto Scaling to minimize infrastructure costs.
• Extensive experience in data engineering and feature engineering, working with Kubeflow, PySpark, AWS EMR,AWS AThena, AWS S3,AWS crawler, SQL, AWS Glue, Feast Store, and MongoDB for scalable data processing.
• Understanding of security and compliance principles, including RBAC, IAM, encryption, ML model governance, SonarQube, and Checkmarx, ensuring secure and compliant ML deployments.
• Experience with deployment strategies, including canary deployment, to minimize risks in production
• environments.
• Hands-on expertise in infrastructure as code (IaC) using Terraform for automated provisioning and management of cloud resources.

Jun 2022 – Jan 2025 · 2 yrs 7 mos · Gurugram, Haryana, India · Hybrid

• MLOPs Enginner
• 1. Certified ML DevOps enginner
• 2.Implemented MLOps best practices to streamline model deployment and
• monitoring
• 3.Built and maintained robust data pipelines using PySpark, Python, SQL to
• process large volumes of data efficiently.
• 4.Collaborated with cross-functional teams to translate business requirements
• into technical solutions and deliver actionable insights.
• 5. Machine Learning: Knowledgeable in algorithms, data cleaning, and
• manipulation.
• 6. AWS Expertise: Experienced with AWS services like S3, SageMaker,
• Glue, RDS, and Bedrock for GenAI modeling. Used tools like AWS Wrangler,
• SageMaker Canvas, and Model Registry.
• 7.Big Data & Cloud: Worked with Databricks, Snowflake, Hadoop, and
• PySpark. Familiar with cloud platforms like AWS, using SageMaker for model
• deployment and EMR for big data processing.
• 8.GenAI Tools: Applied models like LLAMA, AWS Titan, and Stable Diffusion
• for text and image generation.
• Data scientist
• 1.Working on Recommendation engine to provide best solution to customer
• and adding value to the organisation with Data gathering to ML modelling
• including EDA,data cleanup,data modelling ,A/B testing, Deployment etc
• Data Engineering: Expertise in data warehousing, mining, and predictive
• modeling.
• Data Analyst
• 1.Conducted in-depth data analysis and modeling to uncover insights and
• inform strategic decision-making.
• 2.Developed and implemented data-driven solutions for Tetekom customers
• Page 2 of 8
• 3.Communicated findings and recommendations to senior leadership through
• clear and concise presentations.
• Skills:
• 1.Proficient in Python, Spark, SQL, MongoDB, TensorFlow/PyTorch, and other
• relevant programming languages and tools.
• 2.Strong understanding of machine learning algorithms, MLOps, data
• pipelines, and data analytics.
• Experience with feature extraction, model evaluation techniques, and
• deploying machine learning models in production environments.

Aug 2021 – May 2022 · 9 mos · Noida, Uttar Pradesh, India · Remote

• CITI BANK
• (US PAYMENTS LATIN AMERICA AND CANADA REGION)
• Site Reliability Engineer(AWS-Azure)
• Team lead for US faster payment service application in CITI banks handling latin america and Canada region
• Pipeline implementation using Azure-DevOps
• Configure the version control and azure.yaml over azure devops
• Continous Deployment using Udeploy
• Coordinate with different teams to make the production changes to deployment
• Validate the environment issues and debug the issues in servers
• Monitor the application using Kibana and Grafana tools
• Debug the issues and was the first point of contact for any issues
• Maintain and enhancement for the existing build pipelines hosted over Azure and AWS
• Used containerization like docker and Kubernetes for container management and deployment

Aug 2019 – Jul 2021 · 1 yr 11 mos · Chennai, Tamil Nadu, India · On-site

• Siemens PLM
• Senior DevOps - AWS Cloud engineer:
• SIEMENS PLM(DENSO AUTOMATION-MLM)
• Configuring and establishing CI/CD for different teams in Siemens PLM
• Release products at end of sprint cycle via CICD
• Running Jenkins on docker and maintaining it in AWS EC2 instance
• Creating agents and running the build
• As a cloud engineer created AWS clod resources like EC2,S3 bucket,
• DevOps CI-Cd on cloud using codePipeline, Codebuild, codeDeploy
• Notification services like SNS,SQS used for emails and updates
• Lambda functions to direct the logs to Cloudwatch
• Created AWS Targets for Application load balancer for incoming traffic
• Created Templates for autoscaling group to scale the instance
• Attached EBS volumes and created AMI from snapshots
• SVN,GIT checkout, tagging and commit included in CI/CD
• Working on Agile process and JIRA and confluence for tasks and information
• Admin for repositories such as JFROG
• Build the artifacts using MAVEN.
• Integrating Jenkins with GIT, Maven, JFROG
• Build a maven project in Jenkins
• Test the build and show the result in Jenkins
• Deploy the artifacts in artifactory
• Deploy artifact in the Nuxeo server hosted at AWS EC2 Instance
• Admin for VMware and create and delete new VM on requirements
• Database such as RDS,S3 glacier,S3,DynamoDB has been used with Oracle and PostreSql
• Generate report in SonarQube and Coverity static code analysis tool
• Building Node.js desktop application using electron module
• Maintaining old ant scripts
• LDAP configuration
• Taking backup of windows and redhat Linux server using clonezilla
• Junit test code coverage using Jacoco
• Created customised AWS VPC with recquired subnets and attached security group and gateway for the same
• Used containerisation like docker and Kubernetes for container management and deployment

May 2018 – Jul 2019 · 1 yr 2 mos · Chennai Area, India

• Release Engineer:
• INGERSOLL RAND:Automotive club car,Trane outdoor and Indoor unit
• As a part of release team handled around 100+ Production releases independently as Release Engineer
• Automated the build process through YOCTO
• Automated the build process using DevOps Tools
• Automated the build and release process to fasten the daily release
• Experienced in more than 30+ DevOps tool
• Implemented the DevOps culture to speed up the development and deployment
• Migrated the whole build process to cloud using AWS codepipleine ,CodeDeploy,Jenkins
• Used Platform as a service AWS Elastic bean stalk for hosting nodejs application
• Used IAAS for hosting the application over cloud like EC2 instance
• Automation Expert:
• Automation Language:PYTHON,SHELL,JAVA,SELENIUM,BATCH
• Automated notification of the build in the phone through Slack
• Created a website for the team uisng django framework in python
• Automated testing process using Selenium Webdriver and AutoIT
• Developed Shield the SCM customized tool in Python, Selenium, Shell script, AutoIT etc to Automate SCM Administrator tasks
• Presented latest Project tracking tools (JIRA, TFS) to the leaders and helped the organization to implement it
• Supervising and Tracking the team members task on daily basis as Scrum Master
• Completed 50+ Manual acceptance testing as a test engineer
• Automated almost all the web-based manual test cases through selenium and desktop based process through AutoIT
• Code Analysed using Sonarqube for multiple coding languages
• Admin for TFS, Bugzilla, PERFORCE, REMOTE SERVERS, JENKINS etc
• Cloud-based Server using eclipseche implemented

Jan 2016 – Jan 2018 · 2 yrs · Chennai, Tamil Nadu, India

• Release Engineer@WALMART LOGISTICS USA
• As a member of walmart release team Handled a number of production installation independently.
• Experienced in Handling different teams and cooperation with them to complete the installation.
• Creating and merging of branches.
• Experience in GIT wrappers like Bitbucket, GITHUB.
• Retrieving the required data using git log.
• Working on git stash, rebase, pull, push, the clone of the remote repository.
• Build the artifacts using MAVEN.
• Integrating Jenkins with GIT, Maven, and Nexus.
• Configuring the proxy repository in nexus and integrate it with MAVEN.
• Created Build jobs in Jenkins.
• Configured Build Triggers.
• Executing deployment workflows using Automic.
• CRQ/Change creation using Remedy, Servicenow.
• Working with JIRA project management tool
• Linux/Unix Developer:
• Experience in LINUX and UNIX environment for last 2 year
• Formed and Executed many SQL queries for business demand in INFORMIX database
• Worked with C language to debug the code and provide the solution to make the code work.
• Committed the code to SVN using the compilation and commit command from Anthilpro.
• Volunteer Automated many business processes using Shell Scripting in a linux environment and was
• appreciated for that
• Java Developer
• Certified in core JAVA from Cognizant Learning Academy
• Experienced as a JAVA developer in Retail Projects.

Aug 2015 – Dec 2015 · 4 mos · Mumbai, Maharashtra, India

• Part of Reliance Jio RMT(Release management team).