Cyber Defense Specialist

• May 2021 - Present

Independant Security Operations Specialist

• Jan 2019 - May 2021

- Incident Response - Security Operations - Threat Analysis - Threat intelligence - Malware Analysis - Incident Response - Security Operations - Threat Analysis - Threat intelligence - Malware Analysis

Technical reviewer: Hands-On Unsupervised Learning with Python

• Feb 2019 - Feb 2019

This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used libraries and frameworks from the Python ecosystem and address unsupervised learning in both the machine learning and deep learning domains. You will explore various algorithms, techniques that are used to implement unsupervised learning in real-world use cases. You will learn a variety of unsupervised learning approaches, including randomized optimization, clustering, feature selection and transformation, and information theory.

Technical Reviewer: Machine Learning Quick Reference

• Jan 2019 - Jan 2019

Machine learning makes it possible to learn about the unknowns and gain hidden insights into your datasets by mastering many tools and techniques. This book guides you to do just that in a very compact manner.After giving a quick overview of what machine learning is all about, Machine Learning Quick Reference jumps right into its core algorithms and demonstrates how they can be applied to real-world scenarios. From model evaluation to optimizing their performance, this book will introduce you to the best practices in machine learning. Furthermore, you will also look at the more advanced aspects such as training neural networks and work with different kinds of data, such as text, time-series, and sequential data. Advanced methods and techniques such as causal inference, deep Gaussian processes, and more are also covered.

Technical Reviewer: Hands-On Machine Learning for Cybersecurity

• Dec 2018 - Dec 2018

Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain.The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not.

Technical Reviewer: Mastering Reverse Engineering

• Oct 2018 - Oct 2018

If you want to analyze software in order to exploit its weaknesses and strengthen its defenses, then you should explore reverse engineering. Reverse Engineering is a hacker friendly tool used to expose security flaws and questionable privacy practices. In this book, you will learn how to analyse software even without having access to its source code or design documents. You will start off by learning the low-level language used to communicate with the computer and then move on to covering reverse engineering techniques.

Software Engineering Internship

• 2014 - Jul 2015

Optimazing Mobile Applications

Microsoft Student Partner

• 2012 - 2014

Industrial Automation and Control

• Jul 2013 - Aug 2013