Maimul Hoque
About
A proactive and adaptable professional with expertise in automation and problem-solving, I excel at driving results in dynamic environments. With a strong ability to connect with people, I foster a collaborative and inclusive atmosphere where team members feel comfortable sharing ideas and challenges. As a project leader, I leverage my interpersonal skills to guide teams effectively toward success. Passionate about technology and continuous learning, I am eager to contribute to organizational growth while advancing my own development.
Cloud and Infrastructure Engineer
Technologies: Python, FastAPI, Redis, MongoDB, Kubernetes, Terraform, ArgoCD, Red Hat OpenShift, IBM Cloud, Shell Scripting, GitHub Actions, CertManager, HashiCorp Vault.
- Email: maimulofficial@gmail.com
- Website: maimul.myds.me
- Phone: +601139399951
- City: Kuala Lumpur, Malaysia
- Highest Qualification: Masters Degree in Data Science (Distinction) (UM)
- Freelance: 🟢 Available
- Note 📝 Please book a consultation first to allocate time for your project.
As a cloud and infrastructure engineer, I specialize in automation, and streamlining processes to improve system reliability and efficiency. Highly motivated individual with attention to details in day to day tasks. At CoolRiots, I led a team to optimize the system design, cloud architecture, and the CI/CD pipelines and also troubleshoot various components. I'm committed to continuous learning, having completed various Google Cloud SkillBoost challenges, and I developed versioning tools like the 'bump2v' (Python package) to enhance version control. With a passion for technology, not just cloud technology, I focus on leveraging the latest tools to drive organizational success while furthering my own growth as a technical leader.
Happy Clients
Projects
Hours Of Support
Technical Skills
- Python
- SQL
- R
- C/C++
- Shell Scripting
- PyTorch
- TensorFlow
- SAS Miner/Studio
- Jupyter Notebooks
- ShinyApp
- Selenium
- React
- Django
- Jinja
- Flask
- FastAPI
- Docker
- Kubernetes
- PostgreSQL
- Hadoop
- HBase
- Hive
- Redis
- MongoDB
- VIM
- Bash, Ash, Zsh
- MacOS
- Ubuntu
- RHEL
- Windows
Resume
A brief overview of my professional journey and accomplishments.
Education
Master of Data Science
2022 - 2023
University of Malaya KL, Malaysia
Thesis on “Galaxy Morphology Classification using Deep Learning”
Bachelor of Computer Science
2018 - 2022
IIUM, KL
FYP Project: Smartcard Attendance System
Achievements
GCP Professional DevOps Engineer
April 2026
📝 Registered (In Progress)
CKAD (Linux Foundation)
January 2026
📝 Registered (In Progress)
GCP Associate Cloud Engineer
2025
✅ Certified
Microsoft Certified: Azure AI Engineer Associate
2025
✅ Certified
Microsoft Certified: Azure AI Fundamentals
2024
✅ Certified
Google GCP Challenge
2023
14 Quests Completed
Google GCP Challenge
2022
6 Quests Completed
Google GCP Challenge
2021
14 Quests Completed
‘Best Showcase’ Award for Computer Organization
2019
Top 10 Projects, Web Application Development
2018
Best Showcase Award
2019
Computer Organization
Received ‘Best Showcase’ Award for innovative solution design.
Top 10 Project
2018
Web Application Development
Selected among the Top 10 projects for outstanding development and impact.
Professional Experience
Cloud and Infrastructure Engineer
January 2025 - Present
PPIC Technologies (Company of CoolRiots), Singapore
Technologies: Python, FastAPI, Redis, MongoDB, Kubernetes, Terraform, ArgoCD, Red Hat OpenShift, IBM Cloud, Shell Scripting, GitHub Actions
- Orchestrated and upheld DevOps pipelines, implementing CI/CD on IKS, AKS, and OpenShift, resulting in faster and more reliable software delivery.
- Enhanced deployment efficiency by implementing parallel image building in the CI/CD pipeline, reducing overall deployment time by 50%, allowing for faster releases and improved workflow efficiency.
- Designed and implemented infrastructure on Red Hat OpenShift clusters, both on-premises and on IBM Cloud, ensuring scalability and reliability.
- Optimized GitHub repository management, enforcing strict access controls and automating CI/CD pipelines to Kubernetes, reducing deployment errors (Quantitative result not available for the error reduction improvement).
- Contributed to code quality improvements through regular code reviews and refactoring, enhancing maintainability and efficiency.
- Collaborated with cross-functional teams such as the QA team, multiple front-end/back-end teams, to ensure smooth integration and optimal performance of the system architecture.
- Developed and published a Python package,
bump2v, on PyPI to streamline versioning for developers. The package automates version increments and provides error handling to prevent versioning errors, such as pushing without committing code, or accidental command to increase the version, ensuring a standardized and reliable version control process across projects.
Software Engineer
October 2023 - January 2025
CoolRiots, Singapore
Technologies: Python, FastAPI, Redis, MongoDB, Kubernetes, Red Hat OpenShift, IBM Cloud, Shell Scripting, GitHub Actions
- Improved system performance for a project by designing and implementing a multi-worker Celery architecture, optimizing task routing, concurrency settings, and resource allocation in the cloud, resulting in enhanced scalability and task responsiveness.
- Designed architecture for a multi-tenant FastAPI application within a single repository, enabling dynamic creation of four separate deployments based on two different projects. Implemented a multi-tier CI/CD pipeline with GitHub Actions, triggering deployments based on specific file path changes and tag names.
- Setup and maintenance of DevOps pipelines, enabling continuous integration and continuous deployment (CI/CD) for streamlined software delivery.
- Designed and implemented infrastructure on Red Hat OpenShift clusters, both on-premises and on IBM Cloud, ensuring scalability and reliability.
- Developed backend services using FastAPI integrated with MongoDB, optimizing performance for high-traffic applications.
- Managed and maintained the entire GitHub repository, including access controls, pipeline configurations, and automating the code-to-containerization and deployment process to Kubernetes.
- Created and managed ETL pipelines leveraging Redis-Py for data ingestion, processing, and transformation.
- Contributed to code quality improvements through regular code reviews and refactoring, enhancing maintainability and efficiency.
- Collaborated with cross-functional teams to ensure smooth integration and optimal performance of the system architecture.
Technical Trainer
December 2023 – October 2024
EDUCARE GLOBAL ACADEMY, Singapore
Technologies: Python, Pandas, Numpy, Cisco Packet Tracer, Scikit-Learn, Terraform
- Developed course materials, including slides, exercises, and resources, to ensure effective coding and communication of complex technical concepts for training sessions on various technology topics.
- Fostered an interactive learning environment, encouraging students to ask questions, share their experiences, and collaborate on hands-on exercises, improving both their technical skills and communication abilities for teamwork.
- Programming for AI: Introduced fundamental programming concepts and tools for AI development using Python, emphasizing clean code practices, debugging, and performance optimization.
- Network and Cloud Technology: Provided a comprehensive understanding of networking, networking protocols, OSI model, cloud services, and their integration with enterprise systems, while enhancing communication skills to clearly explain technical challenges and solutions.
- Data Fluency: Taught practical applications of data science, including data manipulation and analysis using Pandas and Numpy, promoting clarity in conveying concepts and coding best practices for data analysis.
- Fundamentals of Software Engineering: Covered core principles of software development, including design patterns, version control, and testing strategies, ensuring trainees understood key topics and could communicate technical issues effectively in collaborative environments.
- DevOps for AI (MLOps): Integrated DevOps principles into AI and machine learning workflows, focusing on automating the entire lifecycle of AI models. Topics included Infrastructure-as-Code (IaC), CI/CD, cloud technologies, Kubernetes, containerization, and automation. Students learned to build scalable, reproducible AI pipelines and deploy models efficiently in production, combining AI development with operational best practices.
Quality Assurance Support
April 2023 – October 2023
Serunai Commerce, Kuala Lumpur
Technologies: Python, SeleniumBase, Pytest, Azure DevOps
- Led task delegation across multiple teams, ensuring smooth workflow management and timely delivery of projects.
- Identified and resolved technical bottlenecks in workflows, improving efficiency and reducing downtime.
- Spearheaded a system refactoring initiative with the DevTeam to simplify code and enhance debugging processes.
- Streamlined QA operations by identifying repetitive tasks and implementing process optimizations, resulting in improved team productivity.
- Researched and developed a test automation framework using SeleniumBase, which was successfully published on PyPI.
- Leveraged advanced Python features (e.g., decorators, itertools, exception handling) to build a robust and reusable test automation package.
- Provided mentorship and guidance to junior team members, fostering skill development and knowledge sharing.
Software Test Engineer (Internship)
July 2021 – January 2022 (7 Months)
Serunai Commerce, Kuala Lumpur
- Automated test cases using Selenium (Python), improving testing efficiency and reducing manual workload.
- Trained another intern on test automation techniques and practices, fostering peer learning and team collaboration.
- Built a Django-based web scraping application for automated data extraction and processing.
- Performed data extraction, cleaning, and ETL tasks to support internal analysis and reporting.
- Created detailed guidelines and instructions for non-IT departments to back up and restore Outlook accounts.
- Contributed to the company’s migration efforts to Azure Cloud by supporting system integration tasks.
- Conducted penetration testing on Azure systems in collaboration with a London-based security firm, strengthening cloud security posture.
Services
I provide end-to-end solutions across DevOps, cloud infrastructure, backend systems, and automation pipelines. My expertise enables organizations to scale reliably, deploy faster, and reduce errors through clean, production-grade systems.
Cloud Infrastructure
Design and deployment of scalable infrastructure using Kubernetes, Red Hat OpenShift, IBM Cloud, and Terraform — both on-premises and in the cloud.
DevOps & CI/CD
Orchestrate GitHub Actions workflows, implement GitOps via ArgoCD, and optimize pipelines with parallel image builds — reducing deployment time and improving reliability.
Backend Development
Build high-performance backend services using Python, FastAPI, Redis, and MongoDB — including multi-tenant architectures and API optimization for real-world apps.
Automation
Automate everyday repetitive workflows using shell scripting, creating CRON jobs or Playwright to automate test cases.
Open Source Tools
Creator of bump2v on PyPI — a CLI tool to automate semantic versioning with error handling to prevent common release issues and improve developer workflow.
Repository & Access Control
Secure and optimize GitHub repositories with branch protection, access controls, and automated deployment policies — reducing human errors and improving traceability.
Contact
Thank you for your interest in my services. Please reach out to me using the form below or directly via email maimulofficial@gmail.com
Address
KL East, WP KL, Malaysia
Call Us
+60-1139399951
Email Us
maimulofficial@gmail.com