ANISH KUMAR VEDANT

I am a highly driven and dedicated cybersecurity enthusiast passionate about safeguarding digital assets and combating cybercrime. As a Master's student at the University of New Haven, I specialize in cybersecurity and networks with a focus on penetration testing, vulnerability assessments, and incident response. My expertise, honed through certifications like Red Hat System Administration, Introduction to Python for Cybersecurity, Foundations of Cybersecurity, and Ethical Hacking, enables me to build robust security solutions that ensure the confidentiality, integrity, and availability of critical information.

With a background in ethical hacking, I leverage tools like Metasploit, Wireshark, Nmap, John the Ripper, and Hydra to identify and mitigate vulnerabilities proactively. My web development experience allows me to integrate security best practices seamlessly into the development lifecycle, ensuring resilient and secure web applications.

I am well-versed in using machine learning algorithms to analyze network traffic and user behavior, enhancing the proactive detection and mitigation of cyber threats. As a network architect with 500+ connections, I seek collaborations that fuel innovation in the cybersecurity landscape.

Committed to continuous learning, I actively pursue ongoing education and certifications to stay ahead in the dynamic cybersecurity field. I am currently seeking opportunities to apply my skills and knowledge to protect organizations from evolving cyber threats. My technical proficiency includes Python, Metasploit, Wireshark, and SIEM tools, and I am dedicated to making a significant impact in the fight against cybercrime.

Currently, I am seeking internship opportunities where I can apply my skills and knowledge to protect organizations from evolving cyber threats.

• During my tenure at Peak Power Consultancy, I spearheaded a transformative project centered on real-time Human-Machine Interface (HMI) connectivity. Our team, aimed to revolutionize the monitoring capabilities of electric vehicle power systems. We designed a custom power metering and fault detection circuit, seamlessly integrated with the ESP32 microcontroller via Controller Area Network (CAN) communication. This circuitry facilitated monitoring of vehicle parameters such as voltage, current, and temperature, enhancing efficiency by 25%.
• Beyond hardware design, I developed a robust and dynamic web application for real-time data presentation. Prioritizing security, I incorporated best practices for secure coding and data handling, ensuring our web interface dynamically updated key Electric Vehicle (EV) metrics, thereby boosting user engagement by 30%.
• Leveraging my deep learning expertise, particularly the Long Short-Term Memory (LSTM) model, I engineered an algorithm for remote battery health monitoring via a secure web server. This algorithm significantly improved accuracy in battery health assessments by 35%, showcasing the synergy between machine learning and cybersecurity.
• To ensure seamless and secure data transmission and storage, we implemented robust MQTT protocols for data transfer to Amazon Web Services (AWS). Our cloud-based storage solution enhanced data accessibility by 40%, integrating strong encryption and access controls to safeguard sensitive information.
• A critical aspect of the project was the fortification of our web application's security and protection mechanisms. I conducted regular security audits, identified potential vulnerabilities, and implemented necessary patches and updates. This proactive approach to cybersecurity reduced our system’s vulnerability by 50%, ensuring robust protection against potential threats.
• Tools & Technologies: ESP32, CAN, MQTT, AWS, Python, HTML/CSS & Js, Heroku, Tensorflow, Flask, MySQL, Adafruit IO, Postman, Jupyter Notebook, Arduino IDE, Visual Studio Code, Git, GitHub
• Cybersecurity tools: NMap, OpenSSL, Let's Encrypt, Burp Suite, Wireshark, Snort, AES, SHA, SSL/TLS, Kali linux, PGP, AWS IAM (Identity and Access Management)
• This experience allowed me to seamlessly bridge hardware and software, culminating in a real-time connectivity solution for critical monitoring needs. Our project was a resounding success, combining innovation with practicality to achieve tangible results. Our efforts led to a remarkable improvement in monitoring and efficiency within the organization while significantly strengthening our cybersecurity posture.