Syed Ameen Hussaini

DevOps Engineer

Hyderabad, Telangana, India2 yrs 1 mo experience

Key Highlights

Expert in building scalable cloud infrastructure.
Proficient in end-to-end machine learning pipelines.
Strong experience in CI/CD automation and observability.

Stackforce AI infers this person is a DevOps and MLOps Engineer with expertise in SaaS and Fintech environments.

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Skills

Core Skills

MlopsCloud InfrastructureDevops

Other Skills

AWSAWS ECSAWS LambdaAgile Project ManagementAmazon Web Services (AWS)Android DevelopmentAnsibleAzureAzure Data LakeAzure DatabricksAzure DevOps ServicesAzure Web AppsCICDChefCivil Engineering

About

Hi My Name is Syed Ameen Hussaini I’m a DevOps and MLOps Engineer with deep hands-on experience in building secure, scalable cloud infrastructure and end-to-end machine learning pipelines on AWS and Azure. At AZTRA, I serve as the Senior MLOps & Cloud Engineer designing, deploying, and managing production-ready ML systems. I work extensively with tools like Terraform, Docker, Kubernetes, GitHub Actions, and MLflow to deliver reliable, automated, and observable pipelines for FastAPI-based ML services across cloud environments. Previously at FlexiPayment, I led AWS infrastructure for a Fintech platform focused on cost optimization, CI/CD, monitoring, and ensuring high availability for mission-critical web applications. Technical Focus Areas: • Cloud Platforms: AWS (EC2, ECS, EKS, Lambda), Azure (Web Apps, Functions) • CI/CD & DevOps: GitHub Actions, GitLab CI, Jenkins, Terraform, Helm, Ansible • Containers & Orchestration: Docker, Kubernetes • Monitoring & Observability: Prometheus, Grafana, CloudWatch. • Programming: Python, Bash • MLOps: MLflow, Databricks,FastAPI, model deployment automation • Microsoft Ecosystem: Azure DevOps certified, PowerApps, SharePoint • Agile & Collaboration: Certified Scrum Master, strong cross-functional delivery I enjoy solving real-world problems through automation, clean architecture, and cloud-native solutions. Always open to connecting and sharing ideas. I thrive in fast-paced environments where infrastructure needs to be secure, scalable, automated, and observable. If you’re looking for someone who can manage both DevOps and MLOps pipelines with real-world product experience, feel free to connect! Email: Syedameenhussaini3@gmail.com 😊 Thank you!

Experience

Aztra

MLOps Engineer

May 2025 – Present · 10 mos · Columbus, Ohio Metropolitan Area · Remote

At Aztra, I work as an MLOps Engineer, enabling data science teams to deploy and scale machine learning models reliably in production. My role bridges the gap between data science experimentation and real-world application, ensuring ML systems are reproducible, secure, and cloud-optimized.
I collaborate closely with data scientists to operationalize the full ML lifecycle—from building real-time data pipelines to deploying models as FastAPI-based microservices on AWS ECS and Azure Web Apps. I design and automate CI/CD workflows using GitHub Actions and GitLab CI for seamless testing, containerization, and deployment of ML services.
Using tools like Databricks, MLflow, AWS Lambda, Kinesis, and Glue, I help convert notebooks into production-grade workflows, enabling both batch and real-time inference. I also manage infrastructure as code using Terraform across AWS and Azure, provisioning resources like VPCs, containers, functions, and storage.
Key contributions:
Built serverless and event-driven ML workflows using Lambda, Kinesis, and Glue.
Developed scalable microservices for ML inference with FastAPI and Docker.
Enabled version-controlled model deployment and monitoring using MLflow.
Integrated observability tools (CloudWatch, Azure Monitor) for model performance and drift detection.
Secured deployments via IAM, network policies, and secret management tools.
By combining DevOps, data engineering, and ML expertise, I help deliver resilient, multi-cloud machine learning platforms that power AI applications at scale.

TerraformDockerKubernetesGitHub ActionsMLflowAWS+7

Flexipayment

DevOps Engineer

Feb 2024 – May 2025 · 1 yr 3 mos · Mumbai, Maharashtra, India · On-site

As a DevOps Engineer, I manage and optimize the AWS infrastructure supporting FlexiPayment’s fintech web applications. My role focuses on building scalable, secure, and cost-efficient cloud environments to support our production systems.
Key Responsibilities:
Designed, implemented, and maintained AWS infrastructure using services such as EC2, S3, ECS, EKS, EBS, ELB, Lambda, Elastic Beanstalk, RDS, CloudWatch, IAM, and VPC.
Secured cloud environments by managing IAM policies, encryption, and network configurations.
Optimized server performance and cost through resource right-sizing and monitoring.
Used Terraform and Ansible to automate infrastructure provisioning and configuration management.
Developed and maintained CI/CD pipelines for a three-tier web application using Jenkins, GitHub Actions, and Docker, significantly reducing deployment time.
Integrated SonarQube for continuous code quality checks and automated reporting.
Enabled high availability and observability using monitoring tools and log aggregation.
Collaborated closely with developers to ensure smooth deployments and fast iteration cycles.