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@sarveshgaonkadkar
Recent computer engineering graduate and passionate about cybersecurity and building my skills.
I am a dedicated and passionate engineering student specializing in Computer Engineering with a minor in Cyber Security. With a CGPA of 9.80 from Vidyalankar Institute of Technology, I have honed my skills in various programming languages and cybersecurity practices. My projects, such as the Advanced Key Logger and Fingerprint Recognition Model, showcase my ability to apply theoretical knowledge to practical challenges, enhancing security measures through innovative solutions.
My experience includes developing an AI-Enhanced SIEM Lab and a Honeypot Lab, where I utilized tools like Python, VirtualBox, and Microsoft Azure to simulate real-world cybersecurity scenarios. I thrive in environments that challenge my problem-solving abilities and allow me to contribute to cutting-edge technology in cybersecurity. I am eager to bring my skills and enthusiasm to a dynamic team focused on safeguarding digital assets.
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Work history, roles, and key accomplishments
Self Employed
Apr 2025 - Present (7 months)
Designed and implemented an AI-Enhanced SIEM Lab using Wazuh agents, ELK stack, and AI modules for advanced threat detection and predictive analytics. Built a multi-VM architecture on Virtual Box, integrating Kali Linux, Ubuntu, and Metasploitable2 to detect and capture real-time data using Filebeat, forwarding it to ELK for analysis with machine learning algorithms, and visualizing threats via Ki
Self Employed
Apr 2025 - Present (7 months)
Built a honeypot lab to simulate a live attack on a Windows VM using firewall security configurations, capturing attacker IP addresses. Compared captured IPs with a pre-made geo-location IP address CSV file, categorizing them by region using KQL commands, and visualizing attack regions globally with Microsoft Sentinel.
Self Employed
Oct 2024 - Present (1 year 1 month)
Designed a model to recognize fingerprints from stored images, comparing results between CNN, SNN, and traditional methods like ORB and SIFT. The model employs each technique, analyzes results graphically, and provides a reliable fingerprint recognition model with improved accuracy for potential implementation in smartphones and applications.
Self Employed
Apr 2024 - Present (1 year 7 months)
Developed a real-time key logger malware using Python script, collecting logged keys, clipboard information, system information, and window screenshots. Utilized a Fernet key to encrypt these files, which were then sent to the attacker through SMTP while actual files were saved on the victim’s system.
Degrees, certifications, and relevant coursework
Bachelor of Engineering, Computer Engineering
Grade: 9.80
Pursued a Bachelor of Engineering in Computer Engineering with a minor in Cyber Security. Achieved a CGPA of 9.80.
Higher Secondary Education, Higher Secondary Education
Grade: 75.08%
Completed Higher Secondary Education under the Maharashtra Board. Achieved a percentage of 75.08.
Secondary Education, Secondary Education
Grade: 91.60%
Completed Secondary Education under the Maharashtra Board. Achieved a percentage of 91.60.
Software and tools used professionally
You can contact Sarvesh and 90k+ other talented remote workers on Himalayas.
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