About Me

• Designed and deployed AWS infrastructure using Terraform and Helm, improving environment provisioning time by 40%
• Deployed and maintained Kubernetes clusters to support microservices at scale, improving system resilience and reliability
• Automated infrastructure provisioning and configuration with Ansible, reducing deployment time and human error

Tech Stack: Terraform · AWS · Kubernetes · Helm · Jenkins · Ansible · Docker · Python · GitHub

• Managed and provisioned AWS infrastructure using Terraform, ensuring consistent, scalable, and auditable deployments across environments
• Configured and maintained key AWS services — including RDS (PostgreSQL/MySQL), Elasticache (Redis), and OpenSearch — delivering reliable and high-performance data platforms
• Implemented secure IAM roles and policies to enforce least-privilege access and strengthen cloud security posture
• Oversaw EC2 instance lifecycles, improving resource utilization and cost efficiency
• Built and maintained CI/CD pipelines with Jenkins, GitHub Actions, and CircleCI, accelerating software delivery and reducing manual errors
• Integrated Datadog for real-time infrastructure monitoring, improving uptime and observability across distributed systems

Tech Stack: AWS · Terraform · Jenkins · CircleCI · GitHub · Datadog · Ansible · Kubernetes · Docker

• Hosting client applications on Google Cloud Platform (GCP), ensuring reliable accessibility and optimal performance
• Maintaining Kubernetes infrastructure leveraging the Google Kubernetes Engine (GKE), resulting in smooth orchestration of containerized applications
• Establishing and maintaining CI/CD processes using tools such as Jenkins, Chef, and Spinnaker, streamlining development and deployment workflows
• Testing containerized workloads with Sonar and Black Duck, affirming the quality, security, and compliance of software
• Introducing new microservices into the existing stack, creating necessary pipelines and recipes using Chef for VMs and Helm for Kubernetes
• Actively responding to developer feedback and making appropriate changes to the infrastructure model to eliminate bottlenecks

Tech Stack: Google Cloud Platform (GCP) · Helm · Spinnaker · Ansible · Kubernetes

• Developed end-to-end machine learning pipelines, accelerating model deployment and reducing time-to-delivery for production ML solutions
• Collected and prepared custom datasets via Selenium and BeautifulSoup, enabling high-quality data inputs for training and evaluation
• Performed data analysis and visualization with Pandas and Matplotlib, uncovering insights to guide model refinement
• Implemented and trained models using scikit-learn (Logistic Regression) and spaCy (Named Entity Recognition), improving accuracy and processing speed
• Integrated GitHub Actions to automate CI/CD workflows, ensuring efficient and reproducible ML experiments
• Deployed containerized ML applications on Heroku, enabling seamless public access to project demos and prototypes

Tech Stack: Python · scikit-learn · spaCy · Selenium · BeautifulSoup · Pandas · Matplotlib · GitHub Actions · Docker · Heroku

• Implemented and maintained CI pipelines in GitLab, optimizing build, test, and deployment workflows across multiple environments
• Developed and managed Ansible playbooks for configuration management and automated provisioning, reducing manual setup time
• Built and deployed Docker containers, integrating Nginx for load balancing to enhance performance and ensure high availability
• Orchestrated microservice deployments using Docker Swarm, enabling modular, scalable, and fault-tolerant application architecture
• Collaborated with clients to design customized infrastructure solutions, aligning DevOps practices with specific performance and reliability goals

Tech Stack: GitLab · Docker Swarm · Ansible · Nginx · Redis · Elasticsearch · RabbitMQ · GitHub

• Implementing GIT for the seamless control of source-code, streamlining the version control process for efficient code management
• Creating and maintaining multi-branch Jenkins pipelines using Docker, thereby enhancing the automation and deployment process within the team
• Leveraging Docker multi-stage builds to isolate work, ensuring clean, efficient, and error-free code development
• Utilizing Python scripting skills to send build metrics from the Jenkins pipeline to Grafana for visualization and in-depth analysis
• Creating a deployment pipeline to push the newest Docker application images to AWS, enhancing the efficiency of app updates and ensuring timely delivery

• Providing 24/6 call center support, acting as the first point of contact for troubleshooting and resolving IT issues
• Specializing in the administration and troubleshooting of a wide variety of Microsoft products to maximize productivity and efficiency
• Implementing secure access within our domain network to uphold high security standards and protect against potential threats
• Hands-on maintenance and management of SAP systems, ensuring their optimal performance for smooth business operations
• Operating and performing minor development tasks on Salesforce to enhance its functionality and user experience

• Computer maintenance
• Software updates
• Hardware infrastructure upgrade
• Customer support face to face