Nirmit Shah

I am Nirmit Shah. I recently graduated with a Dual Degree B.Tech + M.Tech in Computer Science with a specialization in AI from VIT Bhopal University. I have strong hands-on experience at the intersection of machine learning and cybersecurity domains.

I possess strong technical skills in cybersecurity, machine learning, and software development, with hands-on experience in VAPT, Network Security, and Security. My core competencies include utilizing industry-standard tools such as Nmap, Burp Suite, Wireshark, Metasploit, and Aircrack-ng to identify vulnerabilities. I have a strong command of networking infrastructure, including TCP/IP, DNS, and DHCP protocols, as well as network defence mechanisms like IDS/IPS, Firewalls, and VPNs.

This security foundation is supported by proficiency in Linux and Windows Server environments. My primary programming language is Python. In the domain of machine learning and artificial intelligence. I am proficient with Python-based ML and AI libraries, including NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch (basic exposure), NLTK, SciPy, and Matplotlib.

Additionally, I am familiar with modern development and DevOps tools such as Docker, VMware, AWS EC2, RabbitMQ, Postman, Nginx Proxy, Squid Proxy, Kiwi Syslog, JFrog, along with Git and GitHub.

Cybersecurity and Machine Learning professional with hands-on experience in VAPT, anomaly detection, network security, and AI-based threat detection systems. Experienced in both corporate and research-driven environments, with a strong foundation in security engineering, infrastructure hardening, and ML deployment.

JPMorgan Chase & Co. – VAPT Analyst Intern 

Worked on cybersecurity data analysis and NLP-based threat detection models. Conducted exploratory data analysis to identify risk patterns and developed ML models to detect phishing and malware in email systems, strengthening proactive threat response and secure IT infrastructure.

Arcon TechSolutions – Project Software Developer 

Led ML-based security projects for Privileged Access Management (PAM) solutions, including real-time anomaly detection and URL feature extraction. Built a PowerShell one-click installer, reducing deployment time by 50%. Contributed to network security architecture, including forward- and reverse-proxy design. Worked extensively with Python, C#, .NET, and system scripting.

Omdena – Machine Learning Engineer Intern 

Developed and deployed an AI-based greenhouse crop monitoring system, improving yield prediction accuracy. Led deployment efforts and integrated ML pipelines into a Streamlit web application with high model accuracy.

Completed an integrated Dual Degree (B.Tech + M.Tech) in Computer Science & Engineering with specialization in Artificial Intelligence from Vellore Institute of Technology (VIT), Bhopal University (2019–2024). The program provided strong foundations in core computer science, machine learning, artificial intelligence, cybersecurity concepts, and system design, combining both theoretical depth and applied research exposure.