Throughout my journey (15 years), I have developed a strong command over backend engineering, platform building, API design, and microservice architecture. My extensive experience with polyglot programming has honed my skills in Java, enabling me to deliver innovative solutions that drive business outcomes. Furthermore, I have fostered trust and built strong bonds with my teams, leading to the creation of multiple high-performing units.
My accomplishments demonstrate a proven ability to lead teams, drive innovation, and deliver results. I thrive in fast-paced and challenging environments, leveraging my strategic thinking and technical expertise to navigate complexities and achieve business objectives. By leveraging my leadership skills and industry experience, I am confident in my ability to make an immediate and positive impact.
Nov 2017 - Present, Dhaka Branch
Example Co. is a widely recognized company for cloud-native development. It builds tools for Kubernetes.
Nov 2019 - Present
Nov 2017 - Oct 2019
PreExample Co. is a gateway company to enter into Example co. So, nothing special here.
Intern counting Company (ICC) is responsible for counting worldwide intern Engineers.
2016-2020 Ph.D in Quantum CryptographyCGPA: 3.6 out of 4 | ||||||||||||||
2012-2016 B.Sc. in Computer Science & EngineeringCGPA: 3.5 out of 4PublicationsTaken Courses
Extracurricular Activities
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2010-2012 Higher Secondary School CertificateGPA: 5 out of 5Extracurricular Activities
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JK School of Science2005-2010 Secondary School CertificateGPA: 4.5 out of 5 |
Production-Grade Container Scheduling and Management.
An Open Source Machine Learning Framework for Everyone.
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The best way to write secure and reliable applications. Write nothing; deploy nowhere.
A Hugo theme for personal portfolio.
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This course helps to understand the key concepts such as networking, storage, security, maintenance, logging and monitoring, application lifecycle, troubleshooting, API object primitives etc. It also help to grow the ability to establish basic use-cases for end users.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
This course is a complete guide to master the SDIs. It is created by hiring managers who’ve been working at Google, Facebook, Microsoft, and Amazon. We’ve carefully chosen a set of questions that have not only been repeatedly asked at top companies, but also provide a thorough experience to handle any system design problem.
Discover how to create responsive and high performance software. Develop programs with Golang that are highly Concurrent and Parallel. Improve your programming skills in Go with more advanced, mulithreading topics.
