I'm Hemraj Patel — an M.S. Cybersecurity candidate at NYU with hands-on experience across vulnerability management, SOC operations, penetration testing, and AI-driven threat research. Currently focused on adversarial machine learning and LLM supply chain security.
I'm an M.S. Cybersecurity candidate at NYU, expected to graduate in May 2026, with a GPA of 3.57 and 2+ years of hands-on experience across vulnerability management, SOC operations, penetration testing, and AI-driven threat research.
At SPAN Inspection Systems, I deployed Nessus and OpenVAS across 300+ endpoints, helped remediate 500+ vulnerabilities, and contributed to a 40% reduction in high-severity risks. At TechDefence, I worked on SIEM automation, reduced false positives by 28%, and supported VA/PT engagements across 150+ application vulnerabilities.
My current research at the NYU Osiris Lab focuses on adversarial machine learning and LLM supply chain security, including a Package Hallucination Detection System that benchmarks hallucination rates across GPT-4, Gemini, and Cohere.
Before cybersecurity became my focus, swimming shaped how I approach discipline, pressure, and long-term improvement. After starting with skating, I discovered swimming in 2008, competed at the state level by 2010, and went on to earn 200+ state medals and multiple national medals.
After a 1.5-year pause during COVID-19, I returned to intense training — swimming up to 7.5 miles / 12 km per day with additional strength and conditioning work — and won my last national medal in 2023 before shifting my focus toward academics and cybersecurity.
A focused overview of Hemraj's professional cybersecurity background, technical skill set, and verified credentials.
Researching AI-driven cyber threats and adversarial machine learning models, with a focus on data integrity, model poisoning, and system trustworthiness in cloud and emerging AI systems.
Managed Microsoft server administration, user account access, system troubleshooting, CMS/WordPress website updates, and secure faculty webpage maintenance for the NYU Economics Department.
Deployed and managed Nessus and OpenVAS across 300+ endpoints, remediating 500+ vulnerabilities and reducing high-severity risks by 40%.
Built Python-based automation for patch management and CVE ingestion, integrating results into Splunk dashboards and MITRE ATT&CK-aligned workflows.
Conducted vulnerability assessments and penetration tests using Burp Suite, Metasploit, and OWASP ZAP, identifying and remediating 150+ application vulnerabilities.
Monitored SIEM alerts in Splunk and ELK, automated alert correlation, and reduced false positives by 28%.
A curated selection that reflects my cybersecurity interests, research direction, and technical execution across security, AI, and software systems.
A research-driven system for detecting package hallucinations in LLM-generated code suggestions and benchmarking hallucination behavior across GPT-4, Gemini, and Cohere.
Identifying and preventing unwanted or suspicious swipe-style interactions, with emphasis on detection logic and secure user interaction patterns.
A movie recommendation system exploring intelligent content suggestions through data-driven modeling and user preference patterns.
A web authentication project using face recognition to explore biometric login flows, identity verification, and secure access patterns.
A hands-on malware analysis environment for studying suspicious files, observing behavior, and documenting technical indicators.
Streamlines attendance tracking through applied software development and automation logic.
A compact collection of cybersecurity write-ups, research papers, technical notes, and personal stories — connecting technical work with the experiences behind it.
A practical cybersecurity awareness write-up focused on recognizing phishing attempts, reducing risk, and improving everyday security behavior.
A research paper exploring operational cyber resilience through structured frameworks and practical IT-sector security considerations.
A personal story highlighting discipline, resilience, and the competitive mindset shaped through athletics and swimming.
An introductory post offering a personal entry point into my background, interests, and professional direction.
I'm actively seeking full-time cybersecurity roles starting Summer/Fall 2026 and open to connecting with security team leads, hiring managers, collaborators, and NYU alumni in the field.
For opportunities in Security Engineering, Penetration Testing, SOC Analysis, or AI-driven security research — feel free to reach out directly.