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Sarvesh Gaonkadkar

@sarveshgaonkadkar

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Aspiring cybersecurity engineer with a strong foundation in programming.

India

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What I'm looking for

I am looking for a role that fosters growth in cybersecurity and software development, where I can apply my skills and contribute to innovative projects.

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.

Experience

Work history, roles, and key accomplishments

Security Identity and Event Management Lab

Self Employed

Apr 2025 - Present (3 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

VirtualBox Linux Ubuntu Kali Python Wazuh ELK Stack Machine Learning Kibana

Honeypot Lab

Self Employed

Apr 2025 - Present (3 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.

Microsoft Azure Firewalls IP Address Capture

Fingerprint Recognition Model

Self Employed

Oct 2024 - Present (9 months)

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.

Convolutional Neural Networks Python Siamese Neural Network SIFT Siamese Neural Networks

Advanced Key Logger Project

Self Employed

Apr 2024 - Present (1 year 3 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.

Python SMTP Fernet Key Encryption