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Spearheaded a team of 5 DevOps engineers, improving task delivery efficiency by 35% through streamlined Agile workflows, daily standups, and sprint-based prioritization of automation and migration initiatives.
Automated 80% of repetitive operational tasks (deployments, scaling, backups) using Terraform and Ansible, reducing manual effort by 25+ hours/week and minimizing human error.
Designed and deployed a parallel Kubernetes cluster on SITE Cloud supporting AI-based CXM platform, achieving 99.9% uptime SLA and enabling zero-downtime failover for critical customer-facing applications using RKE and localstack.
Implemented centralized monitoring using Prometheus, Grafana, and AWS CloudWatch, reducing incident resolution time by 40% through real-time alerting and dashboards tracking 200+ system health metrics.
Conducted biweekly knowledge transfer sessions upskilling 15+ team members on cloud-native tools, resulting in a 50% faster onboarding process and improved team readiness for IaC/DevOps best practices.
Azure Infrastructure Automation: Automated VM provisioning and configuration management for a large US firm using Azure Pipelines, Terraform, and Ansible, reducing manual effort from 2-3 hours to 5-6 minutes.
Monitoring and Incident Reporting: Implemented comprehensive monitoring solutions for a major insurance company using Azure Monitors, Grafana, Prometheus, Kentik, Eternity, and Quantum Metrics, ensuring early incident detection and rapid response.
AWS Migration and Microservices Transformation: Led the migration of on-premises data to AWS, transforming monolithic applications into microservices, and establishing CI/CD pipelines with Bitbucket, Argo CD, Helm charts, JUnit, and SonarQube.
Automation Scripting: Developed Python-based automation scripts to enhance operational efficiency and reduce manual tasks.
Team Leadership: Managed a team of six, providing mentorship, conducting in-house training sessions, and facilitating knowledge transfer through thorough documentation.
Client Engagement and Pre-Sales: Played a key role in pre-sales activities, securing new clients, and maintaining strong relationships with existing clients.
Intern Training: Oversaw the training of interns, ensuring their integration into the team and the development of their skills.
Process Improvement: Identified and implemented process improvements across the DevOps lifecycle, enhancing efficiency, reducing errors, and ensuring best practices are followed consistently.
Led an automation team at i2c Inc., transforming legacy manual deployment workflows into efficient CI/CD pipelines, resulting in an 80% reduction in manual effort.
Led the implementation of a Centralized Logging System in an on-premises infrastructure, preventing space-related issues on live servers by efficiently archiving terabytes of daily logs.
Professionally orchestrated monolithic-to-microservices migration, resulting in a 300% scalability increase and 40% performance boost.
Designed custom dashboards for monitoring application logs and conducted infrastructure monitoring, leading to real-time identification of vulnerabilities.
Developed complete solution for active log monitoring, enabling direct access for support teams. This solution facilitated timely issue identification and enhanced client support.
Automated tasks such as application restarts, log monitoring, and verification of application startups, resulting in optimized application performance and minimum downtime.
Developed system for efficient tracking of team performance, ticket completion, and work nature, fostering transparency and simplifying individual team member contribution assessment.
Mentored several junior resources to ensure successful projects delivery via conducting a series of trainings.
As Full Stack Engineer at Edited, designed and created the foundational MVP and integrated with third-party platforms, including Auth0 and Shopify.
As a backend engineer, used Python Scrapy scripts to scrape data from public sites for user trend monitoring, benefiting customer business strategies.
Conducted API testing using Jest, achieving 80% code test coverage.
Utilized Heap IO to implement user analytics, resulting in an 18% increase in ease of use and a 20% increase in overall user engagement.
Optimized platform loading speed and efficiency by 30%, by minimizing JS and CSS, compressing images, purging unused CSS, and creating streamlined CI/CD deployment and testing.
Collaborated with product managers and designers, conducting peer code reviews and maintaining code quality.
Mentored a junior resource to ensure successful project delivery and foster growth and development.
Served as a cross-application developer, specializing in React Native, and created mobile applications for various clients.
Contributed to a website crawling project aimed at improving website performance and user experience, resulting in a comprehensive test report outlining areas for improvement.
Effectively managed and resolved numerous Jira-reported bugs from diverse clients' existing projects, conducting code cleanup, bug fixes, and performance optimizations to enhance application functionality.
Led the modernization of a CRM platform by designing and implementing cloud infrastructure on AWS, moving the environment from legacy EC2-based hosting toward a more scalable Kubernetes architecture on Amazon EKS. Built the platform with Terraform, strengthened traffic handling and availability, and embedded security across infrastructure, deployment, and access layers. Also optimized the pre-existing EC2 environment for better performance and cost efficiency before and during the migration journey. I also built and improved CI/CD pipelines, centralized logging, monitoring, and caching for production CRM workloads to make releases more reliable and operations easier to manage. This work improved observability, incident response readiness, and production stability while supporting smoother deployments and better operational control across AWS-based environments.
Designed and deployed a parallel Kubernetes cluster for an AI-based CXM platform, mirroring on-premises infrastructure in the cloud to support zero-downtime failover for customer-facing applications. The environment was built to support a 99.9% uptime SLA, while strengthening resilience and continuity for critical services. This project played a central role in Lucidya’s cloud-native reliability strategy. I also led a DevOps automation initiative that reduced manual operational effort by automating 80% of repetitive tasks including deployments, scaling, and backups using Terraform and Ansible. Also implemented centralized monitoring with Prometheus, Grafana, and AWS CloudWatch, reducing incident resolution time by 40%. In parallel, led a team of 5 engineers and helped improve delivery efficiency by 35% through stronger workflows and execution practices.
Automated Azure infrastructure provisioning and configuration management using Azure Pipelines, Terraform, and Ansible, reducing environment setup time from 2–3 hours to 5–6 minutes. Also contributed to migration initiatives from on-premises systems to AWS and supported monolith-to-microservices transformation, while building delivery pipelines with Bitbucket, Argo CD, Helm, JUnit, and SonarQube for more scalable and reliable engineering operations
Led automation and modernization efforts for large-scale fintech systems by transforming legacy deployment workflows into structured CI/CD pipelines, reducing manual effort by 80%. Also supported a monolith-to-microservices migration that delivered a 300% increase in scalability and a 40% performance improvement. Alongside that, implemented centralized logging and active monitoring solutions to handle terabytes of daily logs and improve operational visibility for support and engineering teams.