OFFENSIVE
I am Tanmay Sharma, a cybersecurity graduate student at Northeastern University, and after lots of years studying IT and Computer Science, I excel at putting in hard work and adapting to any kind if situation I face.
Tanmay Sharma
SECURITY
I addicted to and thrive on hands-on work. Every detail on this website, meticulously crafted by my own hands, reflects my commitment to perfection.
MAVEN
Experienced Technical Lead and Project Intern with a background in cybersecurity, machine learning, and secure IoT solutions, particularly in research and educational settings. I have demonstrated ability in leading technical teams, building automation tools, and advancing cybersecurity initiatives, including secure network projects with Raspberry Pi and bot development for community management.

My Security Stack

Programming and Scripting Languages

Proficient in developing secure applications using C/C++, Python, Bash, and PowerShell. Currently advancing skills in Rust. Experienced in automating cybersecurity tasks through scripting.

Offensive Security

Well-versed in offensive security practices, penetration testing methodologies, and the use of tools such as Metasploit Framework to simulate real-world attacks and assess system defenses.

Web and Application Security

Adept at using tools like Nikto for web server vulnerability scanning and identifying flaws, often deployed on Linux servers. CTFs often involve web application security challenges, using tools like Burp Suite and OWASP ZAP to test for vulnerabilities.

Network Security

Experienced in conducting comprehensive network scans using tools like Nmap and ipsweep to detect active hosts and open ports. Proficient in identifying network services and assessing potential threats.

DevSecOps

started last night..LOL

Cryptography and Tools

Skilled in implementing Windows persistence techniques and employing cryptographic tools such as OpenSSL and GnuPG for secure data transmission and storage. Knowledgeable in system-level security practices and encryption standards.

Work milestones

Institute for Plasma Research
Sep 2023 - Nov 2023 Project Intern

I worked on a Raspberry Pi project where I created a secured access point using a small raspberry system that can work as a personal VPN or a Personal Router in any environment.

Guvi Code Camp, SRM
2021 - 2024 Associate Technical Lead

As the lead of the club’s machine learning technical team, I co-introduced the cybersecurity domain with a board member, expanding our focus and fostering interdisciplinary growth. Under my leadership, we completed the "EngineerTube" project and created a bot to maintain and manage the club’s Discord server effectively.

I also contributed to the club’s activities by hosting the "Da Vinci Code" coding event at GCC, which encouraged creativity and problem-solving among participants. My dedication to continuous learning and technical excellence was further demonstrated by achieving second place in a club hackathon.

Null NEU
2024 - Present Tech and PR Core Member

As a technical core team member, I contributed to the development and enhancement of the club's website. In my role as a PR core member, I actively engaged with new individuals and facilitated connections between them and other club members to foster a collaborative community.

Educational journey

Northeastern University

2024 - Present

SRM University

2020 - 2024

Graduated with a Bachelor's degree in Computer Science. Specialized in offensive/network security, operating system, and machine learning. Completed a thesis on machine learning algorithms for image recognition.

High School (Hillwood's)

2018 - 2020

Project Showcase

GuviBot

A discord bot to manage the everyday work at the GCC Discord server.

ShabdKosh

A hackathon project made using python. "Shabdkosh" is a discord bot that allows the users from different language backgrounds to converse with each other with ease. With its simple to use commands you can easily translate any message you write or speak in discord into more than a 100 languages

Crop Yield and Recommendation System

A crop yield and recommendation system that uses the 5 Rs of sustainable farming

Phishing Hook

The system includes a trained deep learning model that analyzes web pages for phishing indicators, such as suspicious URLs, misleading content, and fake login forms.