Raj Patil

Master of Science in Information Technology

Bachelor of Engineering in Information Technology

W.P. Carey of Business school

• AI-Driven Innovation: Spearheading the end-to-end lifecycle of a closed-loop AI outreach engine, automating prospecting cycles through integrated intelligence & decisioning modules.
• Program Planning & Execution: Driving execution of a scalable, AI-powered system, managing critical path dependencies, and aligning technical delivery with institutional strategic goals.
• Automated Metrics & Reporting: Designing automated tracking systems for program activities, leveraging AI to "grok" complex data into clear status reports and executive dashboards.
• Stakeholder Management: Partnering across engineering and business teams to define project scope, ensuring messaging authenticity through HITL (Human-in-the-Loop) protocols.

AZNEXT

• Architected scalable hands-on labs that simulate complex SOC operations, integrating packet analysis and data protection into automated training environments.
• Mentored 50+ participants on cyber risk management and IAM frameworks, translating theoretical compliance into practical security logic.
• Guided the development of security automation in Python and C/C++, introducing generative AI applications for predictive threat detection and response.
• Standardized documentation metrics and lab module architectures to enhance the tracking of participant progress and system operational efficiency

IBM

• Developed Python-based automation for real-time endpoint monitoring, utilizing logic-driven scripting to reduce incident response latency by 20%.
• Conducted deep-dive investigations using Autopsy and Wireshark to identify root-cause anomalies and engineer proactive defense signatures.
• Architected a passwordless authentication system using FIDO2/WebAuthn to mitigate identity-based threats through advanced cryptographic protocols.
• Synthesized complex investigative data into structured intelligence reports, mapping adversary behaviors to the MITRE ATT&CK framework.

Built a real-time password validation tool (JavaScript) with entropy rules, encryption standards, and complexity checks.

• Implemented rules for encryption standards, password entropy, and complexity validation (upper/lower case, numbers, special characters).
• Designed an interactive UI providing instant feedback to improve user authentication security.
• Improved user awareness of identity protection and password hardening against brute-force attacks.

Built a machine learning-based cybersecurity application to detect phishing emails with high accuracy.

• Applied NLP techniques (tokenization, stop-word removal, TF-IDF vectorization) for content analysis.
• Trained and optimized models (logistic regression, random forest, and naive Bayes) for threat detection.
• Developed a web-based security tool using JavaScript to analyze and validate password strength in real time.