Educator, engineer, and researcher advancing cybersecurity, AI, and digital forensics through applied learning and ethical innovation. I design secure, data-driven systems and mentor students to think critically, build responsibly, and bridge theory with real-world impact.
I’m an educator, engineer, and researcher based in New York City, but born and raised in Bangladesh. My work bridges cybersecurity, digital forensics, and data analytics, focusing on creating secure, human-centered systems and teaching how technology impacts real people.
I currently serve as a Data Analyst at the City University of New York (CUNY) Central Office and Lecturer in Computer Science at John Jay College, where I guide students through programming, software design, and ethical computing practices.
Beyond the classroom and code, I’m an avid traveler and photographer who’s driven across the U.S. exploring national parks — experiences that remind me how curiosity and perspective fuel both innovation and teaching.
At my core, I believe technology should remain ethical, purposeful, and human, blending logic with empathy in everything I build or teach.
Where my teaching and engineering work meet in practice.
Multi-Agency Intelligence Dashboard. A secure investigation platform built at John Jay College to triage human-trafficking tips in real-time. The system pairs a .NET Core API with a React-style UI to deliver live geospatial intelligence, investigator dashboards, and secure data feeds—purpose-built for handling sensitive PII (Personally Identifiable Information).
ViewEnterprise-Grade Session Enforcement System Designed to uphold academic and enterprise integrity by preventing concurrent user access. This Django-based authentication system enforces a strict single-session policy, utilizing GeoIP logging to flag suspicious login attempts in real-time. Ideal for secure testing environments, certification platforms, and paid content portals where account sharing is a liability.
ViewNLP-Ready Data Pipeline for Web Content A specialized extraction engine that isolates core journalistic content from noisy HTML structures. Unlike standard scrapers, this tool intelligently strips ads, boilerplate, and navigation elements to produce clean, normalized text datasets specifically optimized for Natural Language Processing (NLP) research and sentiment analysis.
ViewZero-Trust File Integrity Verifier A privacy-first security tool that calculates SHA-256, SHA-1, and MD5 hashes entirely within the browser. By eliminating server-side uploads, HashNow allows users to verify sensitive documents and massive files without ever exposing data to the network, ensuring 100% confidentiality and compliance with strict data handling policies.
ViewI enjoy connecting with people who share interests in technology, education, and storytelling through data or travel. Whether it’s a project idea or just a friendly note, I’d be glad to hear from you.
Email: mail [at] avijitroy <dot> com