Minhaj Ahmed
Development
NYC, United States
Skills
Node.js
About
Minhaj Ahmed's skills align with Consultants and Specialists (Information and Communication Technology). Minhaj also has skills associated with Programmers (Information and Communication Technology). Minhaj Ahmed has 10 years of work experience, with 3 years of management experience, including a mid-level position.
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Work Experience
Principal DevOps Engineer & Innovation Lead
EMBLEM TECHNOLOGIES
June 2021 - Present
- I orchestrated the seamless integration of Ansible and Terraform, automating deployment workflows and ensuring consistency across environments. Leveraging Kubernetes for container orchestration, I architected a resilient microservices infrastructure, enhancing scalability and reliability. Spearheading the implementation of Jenkins and GitLab CI/CD pipelines, I facilitated rapid and reliable software delivery, accelerating time-to-market for critical updates. Furthermore, I led the migration to AWS cloud services, optimizing resource allocation and enhancing infrastructure agility. Continuously driving innovation, I pioneered the adoption of serverless computing with AWS Lambda, revolutionizing resource utilization and operational efficiency. By championing Infrastructure as Code (IaC) principles using CloudFormation and Terraform, I automated provisioning processes, minimizing manual errors and ensuring infrastructure consistency. Additionally, I played a pivotal role in bolstering security posture by implementing robust access control measures with Vault and AWS IAM. Collaborating closely with cross-functional teams, I facilitated knowledge exchange sessions to empower colleagues with emerging technologies, fostering a culture of continuous learning and improvement.
Machine Learning DevOps Engineer
ABFA TECHNOLOGIES
April 2018 - May 2021
- I spearheaded the implementation of cutting-edge CI/CD pipelines using Jenkins and GitLab CI to streamline the deployment of machine learning models onto cloud infrastructure. Leveraging my expertise in containerization technologies such as Docker and Kubernetes, I orchestrated scalable and reliable deployments, optimizing resource utilization and minimizing downtime. Additionally, I automated infrastructure provisioning and configuration management using Terraform and Ansible, ensuring consistency and reproducibility across development, testing, and production environments. Through meticulous monitoring and logging with tools like Prometheus and ELK stack, I proactively identified and resolved performance bottlenecks, enhancing system stability and overall efficiency. In parallel, I championed the adoption of advanced DevOps practices such as bluegreen deployments and canary releases, facilitating seamless updates and A/B testing for advertising campaigns. Employing robust security measures, including encryption at rest and in transit with tools like Vault and TLS, I safeguarded sensitive data integrity and confidentiality, adhering to industry compliance standards. Moreover, I collaborated with data scientists to optimize model training workflows, integrating version control with Git and implementing model versioning strategies with MLflow, thus empowering iterative experimentation and continuous improvement in advertising targeting and optimization algorithms.
Machine Learning DevOps Specialist
ARRIVY
April 2014 - March 2018
- Leveraging my expertise in containerization technologies such as Docker and Kubernetes, I orchestrated scalable infrastructure for deploying ML algorithms, enhancing system reliability and performance. I spearheaded Machine Learning DevOps initiatives within the banking sector, optimizing deployment pipelines and ensuring seamless integration of ML models into production environments. Employing continuous integration and delivery (CI/CD) pipelines with tools like Jenkins and GitLab, I automated testing and deployment workflows, reducing time-to- market for new ML solutions. Additionally, I implemented robust monitoring and logging solutions using ELK stack and Prometheus, enabling real-time insights into system behavior and facilitating proactive issue resolution. During my tenure, I played a pivotal role in implementing infrastructure as code (IaC) practices using tools like Terraform and Ansible, ensuring consistent and reproducible deployments across diverse banking applications. I optimized cloud infrastructure on AWS and Azure, utilizing services like EC2, S3, and Azure Kubernetes Service (AKS), to efficiently manage computational resources and support scalable ML workloads. Moreover, I implemented security best practices, including identity and access management (IAM) policies and encryption mechanisms, to safeguard sensitive banking data processed by ML algorithms. Through my strategic deployment strategies and technical acumen, I significantly enhanced the agility and reliability of ML-driven applications in the banking domain, contributing to operational excellence and competitive advantage.
Education
