DSA Instructor AI
FeaturedAn AI-powered learning platform with an interactive DSA experience and AI tutor for real-time explanations and coding assistance.
NILOY SARKAR · CSE GRADUATE · BRAC UNIVERSITY
AI Engineer & Software Developer with a research-driven approach to cybersecurity, machine learning and secure software systems.
From AI-powered products to security monitoring, payment-security research, full-stack applications and embedded systems.
An AI-powered learning platform with an interactive DSA experience and AI tutor for real-time explanations and coding assistance.
Security monitoring platform for authentication-log analysis, brute-force detection, alerts, incident management, dashboards and reporting.
Undergraduate thesis investigating Card-Not-Present vulnerabilities in payment gateways and practical risks in online payment flows.
Web-based emergency alert system designed for rapid communication and incident-oriented workflows.
Online book purchasing platform with database-backed workflows, responsive UI and structured backend architecture.
A machine-learning project focused on predicting traffic-accident patterns in the Bangladesh context.
Assistive IoT prototype using ultrasonic sensing and GPS to improve environmental awareness and navigation.
Compiler pipeline covering lexical analysis, parsing, AST generation, symbol tables, semantic analysis and three-address code.
Parking management system demonstrating low-level programming, systems thinking and structured problem solving.
My research interests span cybersecurity, machine learning, trustworthy AI, identity, health technology and intelligent systems.
Investigating vulnerabilities in payment gateways and security risks across online card-not-present payment flows.
Systematic literature review of machine-learning approaches for Business Email Compromise and advanced phishing detection, including robustness and deployment challenges.
Exploring Self-Sovereign Identity concepts for secure identity and trust management in e-commerce environments.
Reviewing research on the mental-health implications and psychological considerations associated with virtual-reality exposure.
Exploring decentralized approaches to movie recommendation systems, with interest in privacy, data ownership and intelligent personalization.
Investigating deep-learning approaches for automated plant-disease classification using image-based analysis.
Python · LLM Integration · Prompt Engineering · Machine Learning · Deep Learning · AI Applications · Data Analysis
React.js · JavaScript ES6+ · HTML5 · CSS3 · Tailwind CSS · Responsive UI
Node.js · Express.js · REST APIs · Laravel · PHP · Flask
PostgreSQL · MongoDB · SQLite · SQLAlchemy · Git · GitHub
Web Security · VAPT · Vulnerability Research · Threat Analysis · Payment Security · Phishing/BEC · CTF
C/C++ · Assembly · Arduino · GPS · Ultrasonic Sensors · Compiler Concepts · Operating Systems
I also create cybersecurity learning content, including CTF-oriented videos and practical security topics.
YouTube · Viruskiller71Cybersecurity & CTF learning content↗I'm a Computer Science & Engineering graduate from BRAC University with a strong interest in AI engineering, software development and cybersecurity.
I enjoy breaking down complex problems, learning unfamiliar technologies quickly, and turning ideas into working products. My work spans AI-powered educational software, full-stack web applications, security monitoring, payment-security research, machine learning, embedded systems and compiler development.
I'm especially interested in AI agents and automation, secure software systems, machine learning for cybersecurity, payment security, trustworthy AI and research-led engineering.
I'm open to AI Engineering, Software Engineering, Full-Stack Development and Cybersecurity opportunities, including internships and full-time roles.
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