Sanjib Kumar · ML Engineer · 10+ yrs
PrincipalAbout Sanjib
Sanjib Kumar is a seasoned professional specializing in machine learning operations and DevOps practices. With a decade of experience, he has successfully led projects that integrate advanced technologies such as Kubernetes and Docker for efficient model deployment. His expertise extends to financial services, particularly in investment banking and risk management, where he has applied machine learning techniques to real-world challenges. Sanjib is adept at managing CI/CD pipelines and automating workflows to enhance operational efficiency.
Core expertise
Additional skills(12)
Jenkins
Git
LinuxWhy hire Sanjib?
Designed and implemented end-to-end CI/CD pipelines for automated software delivery.
Managed and monitored Kubernetes clusters and Docker containers for ML infrastructure.
Leveraged Ansible for configuration management, streamlining automation across the DevOps lifecycle.
Successfully contributed to projects involving deep learning models for object detection.
Successfully designed and implemented end-to-end CI/CD pipelines for automated software delivery.
Designed and maintained highly available, scalable systems on AWS infrastructure.
Project highlights(6)
AI Hub Infrastructure Support – Machine Learning and Operation Lead
Overview: Led infrastructure support for predictive analytics and deep learning within an enterprise AI HUB. Responsibilities: Created and managed Docker containers, acted as a release manager for the AI Hub, monitored Kubernetes clusters and Docker containers for performance and health, integrated Kubernetes and runAI for machine learning model deployment, and leveraged Ansible for configuration management.
Key outcomes:
Ensured smooth release processes for the AI Hub.
Integrated Kubernetes with runAI for model deployment.
Kubernetes Cluster Management – Technical Lead
Overview: Responsible for the setup, configuration, and management of Kubernetes clusters. Responsibilities: Set up and configured Kubernetes clusters, managing resource allocation and nodes, ensuring high availability and scalability through orchestration.
Key outcomes:
Successfully set up and configured Kubernetes clusters.
Integrated container technologies into CI/CD for automated deployments.
CI/CD Pipeline Implementation – Associate Consultant
Overview: Designed and implemented end-to-end CI/CD pipelines for software delivery. Responsibilities: Set up automated build processes, managed deployment automation, and contributed to deep learning projects using Python modules.
Key outcomes:
Designed and implemented full CI/CD pipelines.
Contributed to deep learning projects for image processing.
Project 4 – Senior Software Engineer
Senior Software Engineer — highly available scalable AWS infrastructure with Docker + Kubernetes microservices + Ansible. AWS Cloud + Docker + Kubernetes + Python + Ansible.
Key outcomes:
Designed scalable systems on AWS.
Automated workflows with Python and Ansible.
Enforced IaC best practices.
Project 5 – Technical Support Representative
Technical Support Representative — L2 Support for SQL + Linux critical systems with application issue resolution. SQL + Linux + Jenkins.
Key outcomes:
Provided L2 support for critical systems.
Resolved application issues and executed build jobs.
Conducted health checks and log analysis.
10+ years of industry experience
At a Glance
Single contract. Billed in USD.
Typically responds within 4 business hours.
Top Skills
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Sanjib Kumar
MLOps Engineer