I am a passionate AV and Broadcast engineer with 14 years of working experience in the industry. I have managed the transmission for multiple esport leagues and championships including the Call of Duty and Overwatch League. I have built out multiple tools to allow for monitoring in Grafana and distribution with FFMpeg. In my free time I am a tournament operator for a local LGBTQ+ sports league.
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
March 2016 - May 2017
Nowhere
PreExample Co. is a gateway company to enter into Example co. So, nothing special here.
March 2016 - May 2017
Jun 2015 - Jan 2016
Intern Land
Intern counting Company (ICC) is responsible for counting worldwide intern Engineers.
Jun 2015 - Jan 2016
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2016-2020
Ph.D in Quantum CryptographyCGPA: 3.6 out of 4 |
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2012-2016
B.Sc. in Computer Science & EngineeringCGPA: 3.5 out of 4Publications:Taken 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.
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.