Tanvir Rahman
Suite 260
Houston, TX 77058
Suite 260
Houston, TX 77058

• Full Stack DevOps engineer with 12+ years of experience in .NET, Java, Python and React.
• 2+ years of experience in leading cross-functional teams, modernization and cloud migration projects.
• 5+ years of experience in big data technologies (Spark, Kafka, Hadoop) and cloud platforms (AWS, Azure).
• 5+ years of experience in architecture, design, open-source frameworks, and data analytics.
• 3+ years of experience in UI development (React, jQuery, JavaScript, TypeScript, HTML5).
• PhD in Computer Science focused on mathematical models improving High-Performance Computing and big data.
• Expertise in FinTech, Agile, secure development practices and vulnerability management.
• Excel in RESTful APIs, AWS, Docker, Kubernetes, Python, CI/CD, and testing.
• Skilled in Microservice Architecture, DevOps, Infrastructure as Code, and mentoring others.
• Proficient with SQL and NoSQL databases, along with strong analytical and problem-solving skills.
My PhD research focus was to improve performance and reliability in distributed computing using predictive modeling and analysis. I have worked both on Hadoop & Volunteer computing frameworks and developed performance models for them to reduce job execution time. My dissertation topic was "Performance modeling for parallel applications under failures".
- PhD in Computer Science, Univesity of Houston, TX, USA
- BSc in Computer Science and Engineering, Bangladesh Univesity of Engineering and Technology, Bangladesh
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Resilient Parallel Computing on Volunteer PC GridsResilient Parallel Computing on Volunteer PC Grids, Concurrency and Computation: Practice and Experience · Apr 24, 2018
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Performance Implications of Failures on MapReduce ApplicationsPerformance Implications of Failures on MapReduce Applications, 2017 IEEE International Conference on Cluster Computing · Sep 1, 2017
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Checkpointing to minimize completion time for Inter-dependent Parallel Processes on Volunteer GridsCheckpointing to minimize completion time for Inter-dependent Parallel Processes on Volunteer Grids, 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing · Jan 1, 2016