Suraj Bora

About Suraj Bora

Creation of Clusters for Load Balancing and to provide a Failover Environment.• Launching Amazon EC2 Cloud Instances using Amazon Web Services (Linux/Ubuntu/RHEL) and Configuring launched instances with respect to specific applications.• Experience with monitoring tools like Nagios and Amazon Cloud Watch to monitor primary metrics like Network packets, CPU utilization, and Load Balancer Latency.• Automated Regular AWS tasks like snapshots and AMI creation using Shell scripts.• DevOps experience with Ansible, AWS (OPS Work).• Installing, and customizing web servers as per existing infrastructure & requirements• Choosing web servers as per load, hardware & application type.• Compiling them with required modules. Optimizing with carefully selecting worker process. Compression, etc.• Developed Playbooks and Roles to manage systems configuration by using Ansible.• Experience in branching, tagging, and maintaining the version across the environments.• Predict and provide the connected intelligence score using Python.• Data security at end-user and visualizations for sales play, quarterly sprints, architecture-specific actionable insights.• Measurement of Platform in terms of Contribution to Revenue Generation.• Strategies to leverage the data from the various ultimate sources of truth and automate data ingestion for insights and predictions.

Experience

1. Devops Manager

   Anand Rathi IT Pvt. Ltd

   Jun 2013 — Present · Jodhpur, IN

   10 + years of experience in the IT industry. Currently, I am working on AWS, DevOps, Configuration Management, Build Management, Requirement Management, and Change Management by using licensed & other open-source tools.• Expertise in Amazon AWS Cloud Administration which includes services such as EC2, S3, EBS, VPC, ELB, AMI, SNS, IAM, Route 53, Autoscaling, Cloud Watch, Security Groups, etc.• Administration of various environments in software development life cycle (SDLC) Windows, Ubuntu, Red Hat Linux, and Centos.Defining the ML Ops strategy and building the ML Ops team for automation using DevOps concepts to productionize the machine learning at scale, which includes ML Pipeline, Model/Data Versioning & Validation, Monitoring the Model Performance and Continuous Improvement.• Designed and developed the ML Health Check framework for pipeline data quality and model performance monitoring.• Working on ML Models like Engagement Points, State Machines, Degree of Commitment, Next Best Action to predict the customer opportunity for Digital Marketing and Sales.

Education

• Sikkim Manipal University - Distance Education

  Master of Business Administration - MBA

Skills

• IT Recruitment
• Routers
• Networking
• Team Management
• Operating Systems
• Network Architecture
• Windows Server
• Project Management
• Vmware Infrastructure
• IT Service Management
• Disaster Recovery
• Network Security
• Switches