Summary
Overview
Work History
Education
Skills
Websites
Personal Projects
Timeline
Akshay Kadam

Akshay Kadam

Bengaluru

Summary

Skilled professional with a robust background in infrastructure automation, continuous integration, and cloud services. Expertise in scripting, system administration, and container orchestration, ensuring seamless deployments, and efficient system operations. Strong focus on team collaboration and adaptability, consistently delivering reliable, and effective solutions. Passionate about leveraging technical skills to drive operational excellence and support organizational goals.

Overview

4
4
years of professional experience

Work History

Senior Platform Engineer

Sanas.AI
Bengaluru
09.2024 - Current
  • Designed and built on-premise infrastructure, including GPU servers, storage systems, and networking components.
  • Leading and managing the design, build, and ongoing operation of a data center facility to ensure it meets specific performance and reliability goals.
  • Implemented proactive monitoring tools (Site24x7, New Relic) to ensure high uptime, and facilitate troubleshooting.
  • Deployed and managed multiple applications on AWS cloud with end-to-end CI/CD implementation.
  • Transitioned to on-premise infrastructure, significantly reducing recurring AWS costs.
  • Managed AWS environments using Infrastructure-as-Code (Terraform) for enhanced efficiency and reliability.
  • Configured and maintained databases across environments (Dev, Staging, UAT, Prod), ensuring secure connectivity, and scalability.
  • Developed alerting systems via Slack and Kubernetes cron jobs to optimize ML training job management.
  • Brought in organization-wide SOPs and enhanced change management.

DevOps Engineer

Anuta Networks
10.2021 - 09.2024
  • Worked closely on the product upgrade lifecycle by automating the process of product upgrades in production environments.
  • Implemented containerization technologies such as Docker and Kubernetes for faster delivery cycles.
  • Helped the team in setting up and provisioning the IT infrastructure using IAC tools, like Terraform and Ansible.
  • Designed and implemented the complete ELK stack for better root cause analysis, and helped in debugging complex technical problems.
  • Implemented systems automation using scripting languages, like Python and Bash.
  • Created CI and CD pipelines with Jenkins and Docker to automate the build process of applications.
  • Deployed microservices on Kubernetes clusters in order to increase the scalability and availability of services across multiple regions.
  • Participated in disaster recovery exercises in order to test the reliability of the system. Deployed microservices on Kubernetes clusters to increase scalability and availability of services across multiple regions.
  • I wrote user manuals and other documentation for roll-out in customer training sessions.
  • Conducted a POC on Kubespray, Ansible, and multiple open-source tools.

Education

Bachelor of Technology - Computer Science

PES UNIVERSITY, Bangalore
06.2021

Skills

  • Infrastructure as code (Terraform and Ansible automation)
  • AWS Cloud Architecture/Infra
  • Kubernetes management
  • CI/CD (Jenkins and GitLab CI workflows)
  • Container management with Docker
  • Monitoring solutions using New Relic , Prometheus-Grafana , Site24*7
  • Python development
  • Bash scripting expertise
  • ELK stack implementation
  • Configuration management with Ansible
  • Source control with Git, GitLab, and GitHub
  • VPN solutions via Tailscale
  • Virtualization practices
  • Code review methodologies
  • Process optimization techniques
  • Agile/Scrum frameworks
  • Communication proficiency
  • Prioritization of tasks

Personal Projects

Ride-sharing and rental application, designed and developed a ride-sharing and bike/cab rental application enabling users to create, share, and manage rides, built RESTful APIs using Python (Flask) for core functionalities such as ride creation, ride sharing, and ride management, implemented a master-slave back-end architecture to ensure scalability and efficient load distribution, integrated RabbitMQ as a message broker to enable reliable communication between distributed services, containerized services with Docker to achieve microservices-based deployment and application isolation, utilized SQLite3 for data persistence and management, deployed and hosted the application on Amazon AWS Cloud for high availability. Tech stack used: Python, Flask, RabbitMQ, Docker, SQLite3, and AWS

Timeline

Senior Platform Engineer - Sanas.AI
09.2024 - Current
DevOps Engineer - Anuta Networks
10.2021 - 09.2024
PES UNIVERSITY - Bachelor of Technology, Computer Science
Akshay Kadam