Atul Y.

CEO

Bengaluru, Karnataka, India13 yrs 7 mos experience
AI ML PractitionerHighly Stable

Key Highlights

  • 16 years of experience in IT and cloud technologies.
  • Expertise in MLOps and DataOps for diverse industries.
  • Proven track record in designing innovative tech solutions.
Stackforce AI infers this person is a Cloud and Data Engineering expert with a focus on MLOps in Fintech and Healthcare.

Contact

Skills

Core Skills

MlopsDataopsData OperationsData EngineeringDevopsCloud Computing

Other Skills

Artificial Intelligence (AI)Docker ProductsGenAIGitMachine LearningNetworkingTelecommunications

About

With over 16 years of extensive experience in IT, cloud-based technologies, and telecommunications, I have developed deep expertise in the engineering domain, encompassing software and system design for various industries including Retail, Fintech, Healthcare, and E-commerce. My professional journey has been marked by leveraging cutting-edge technologies in MLOps, DataOps, DevOps, and Cloud to design innovative solutions tailored to diverse industry needs. I have implemented E2E solutions with best practices, such as continuous integration and continuous delivery to automate the development, testing, and deployment of machine learning models, Data Engineering, and Software Engineering significantly improving operational efficiency. I am passionate about using technology to create impactful solutions and am always eager to explore new challenges and opportunities in the ever-evolving tech landscape.

Experience

Stryker

2 roles

Principal Engineer

Mar 2022Jul 2022 · 4 mos

Docker ProductsData OperationsMLOpsGit

Solutions Architect

Jul 2018Mar 2022 · 3 yrs 8 mos

  • Working experience with hosting of production ML models considering aspects of Observability,
  • Deployment, Serving, Validation, Compliance and Audit of models.
  • Owner of the operationalization of ML and data pipelines ensure best practices, reliability, and stakeholder
  • satisfaction
  • Part of team to create successful ML production systems using modern engineering methodologies and
  • collaboration tools, such as MLOps
  • Designing, implementing and improving MLOps frameworks for Data Science projects following best practices
  • Design and implement end-to-end machine learning pipelines accounting for the variability in data sources and
  • collection policies, data analysis and feature extraction methodologies, modeling frameworks and serving
  • infrastructure
  • Design and develop deployment tools for proving MLOps as a Service and AI as a service
  • Designing and developing Azure/AWS based cloud infrastructure for developing and deploying AI-driven
  • applications
  • Build and continuously improve the Data Science pipelines over all stages from data ingestion via feature
  • engineering and experimentation to deployment and monitoring
  • Collaborate with data scientists and ML engineers to support our products by analyzing models, building pipelines
  • and feedback loops
  • Implementing the deployment strategy for the ML applications and deploying to K8
  • Maintain a scalable infrastructure through the use of MLOps tools to automate integrate and monitor operational
  • processes along with our data platform
  • Experience of DevOps CI/CD for Mobile and Web Apps to include technologies such as Bamboo,
  • Jenkin, Performing pilot testing, Integration, Verification & Validation of Cloud infrastructure
  • features.
  • Designing and Integration of the cloud platform with the Machine learning/AI services of the azure
  • Databricks for image processing.
  • Exploring new automated solutions around the applications and presenting the demo to leadership.
Docker ProductsData OperationsMLOpsGitData Engineering

X-techstacks

Technology Specialist

Mar 2022Present · 4 yrs · India · Remote

  • Building the community of the techies who love to solve the problems and share the knowledge
GitMLOpsDataOpsGenAIArtificial Intelligence (AI)

Lowe's companies, inc.

Technical Team Lead

Jun 2017Jun 2018 · 1 yr

  • Analyzing, developing, interpreting and evaluating complex cloud system design and architecture specifications data models and diagrams in the development, configuration an integration of cloud systems such AWS.
  • Working experience in DevOps operation such as CI & CD approach and implementing the JIRA defect management tool.
  • Working experience in the Machine learning services such as sage maker on AWS and later deploying the ML model.
  • Preparing and maintaining procedures and documentation for Cloud network inventory, and recording diagnosis and resolution of cloud network faults, enhancements and modifications to networks, and maintenance instructions.
  • POC & Customer demo support.
  • Experience of DevOps Ci/CD to include technologies such as Ansible, Jenkins/Puppet Performing pilot testing, Integration, Verification & Validation of Cloud infrastructure features.
  • Managing all server operations including monitoring, scaling, security, and reliability over AWS,
  • Integration of the cloud platform with the Machine learning services of the AWS.
  • Selecting the Machine learning model for the data predictions.
  • Customizing the algorithms with the development and deploying to production using Machine learning services.
  • Creating and managing Docker Environment and deploying the Microservices.
  • Creation of Catalog files for the existing components like zookeeper, Cassandra, RabbitMq, Kafka etc for the Docker Rancher.
  • Complete automation of Docker with Jenkins and Git Hub.
  • Git hub, Docker Hub, AWS ECS, Nexus Repository management.
  • Deployment, automation, monitoring and operational aspects of Web Applications based on enterprise Java/J2EE, Node.JS, AngularJS, environments
Docker ProductsData OperationsMLOpsGitDevOpsCloud Computing

Ericsson

Senior System Integrator

Nov 2012May 2017 · 4 yrs 6 mos · Gurgaon, Haryana, India

  • Responsible for the overall end-to-end solution delivery of the IT & Cloud products.
  • Installation and deployment of various Software applications on virtual and cloud infrastructure .Integration with the Network nodes, End to End testing the service chaining functionality of the telco cloud products.

Huawei technologies india

Senior System Engineer

Mar 2012Oct 2012 · 7 mos · Gurgaon, India

  • Worked as Deployment Engineer,responsible for Installation and Integration of WAP gateway on Linux and Solaris Platform for the DMPI operator Philippines.

Alcatel-lucent

NGN Engineer

Aug 2008Feb 2012 · 3 yrs 6 mos · Gurugram, Haryana, India

  • Worked on Alcatel-Lucent VAS and Packet core services interacting with MSC & other network entities. VAS services include IPTV , MMSC and SMSC .Platform Linux .

Education

Delhi Technological University (Formerly DCE)

Dronacharya College of Engineering

Bachelor of Engineering (B.E.)

Jan 2004Jan 2008

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