I am a passionate software engineer with x years of working experience. I built OSS tools for Kubernetes using GO. My tools help people to deploy their workloads in Kubernetes. Sometimes, I work on some fun projects such as writing a theme, etc.
I have a strong focus on security best-practices and standards, and strictly adhere to OWASP guidelines. I’ve used Flask-Security to implement a vast array of security features such as:
July 2021 - December 2024
Remote
I’ve been responsible for the continuous development and maintenance of Web Applications. My focus has been on Python (Flask) for back-end work, but I’ve also handled full-stack tasks like front-end development (Angular), database design, and application deployment.
Working within a security company has taught me a lot about security best-practices, and the importance of following security standards like the OWASP guidelines.
July 2021 - December 2024
January 2021 - June 2021
Remote
Developed solutions for automating Microsoft Office applications using VBA, specializing in Microsoft Access and Excel solutions for business and personal use.
January 2021 - June 2021
October 2017 - December 2020
Remote
Developed solutions for automating Microsoft Office applications using VBA, specializing in Microsoft Access and Excel solutions for business and personal use.
October 2017 - December 2020
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2013 - 2017
B.Sc. in Accounting and Information SystemsCGPA: 3.9 out of 4Thoughts:The knowledge of business processes and accounting principles has helped me build web applications that best serve the business needs of my clients.
Moreover, The study of information systems provided me with a strong foundation in problem-solving, data management, and system integration, all of which are highly relevant in programming. |
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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, multithreading topics.
