TARIQUL ISLAM

Cybersecurity

Automotive Security

IT System Support

AI/ML/DL/Computer Vision

Email: tariqulislam2594@gmail.com / tariqul.islam@mail.concordia.ca • Phone: +1 (263) 882-4142
LinkedIn: Profile • GitHub: towkictg
Languages: English, French (A2), Bengali, Hindi

Profile
About

Professional Summary

Cybersecurity graduate with internship experience in automotive embedded systems security (ISO/SAE 21434 compliance) and strong background in IT service management, incident handling, and system support.

Skilled in Kali Linux, network penetration testing (Nmap, Wireshark, Aircrack-ng), vulnerability scanning and threat analysis (Trivy, KES Endpoint), encryption technologies (AES, DES, RSA), security protocols (HTTPS, SSH, SSL/TLS, DNS), log analysis, OWASP, and SIEM.

Work Experience

Professional Experience

DANA Cybersecurity Intern — DANA TM4 (Jan 2025 – Apr 2025)

Supported Lead Cybersecurity Engineer in defining product cybersecurity building blocks for automotive embedded systems. Conducted TARA and threat modeling in line with ISO/SAE 21434, performed attack path analysis, and documented cybersecurity requirements.

Tools & Technologies: ISO/SAE 21434, TARA, Threat Modeling, Jira, Black Duck, Azure DevOps

EBL System Support Specialist — Eastern Bank PLC (Mar 2020 – Nov 2023)

Managed 3000+ user accounts with Active Directory and Kaspersky, reduced unauthorized access incidents, and improved incident resolution time. Handled IT incidents via Service Manager, supported 30–40 daily calls, and managed procurement and vendor coordination.

Tools & Technologies: Active Directory • Kaspersky Endpoint Security • System Center Service Manager (SCSM) • Windows 10/11 • Windows 365 • LAN/WAN • Patch Management • Access Control • Device Control • Remote Support Tools • Vendor Management • IT Asset Management

Education

Academic Background

Concordia MEng Information Systems Security (Jan 2024 – Apr 2026)

Concordia University, Montreal, QC

Relevant courses: Cryptography, OS Security, Network Security, Malware Analysis, Crypto Protocols

CIU BSc Computer Science & Engineering (2016 – 2019)

Chittagong Independent University, Bangladesh

Thesis: Bengali License Plate detection using Deep Learning • Merit scholarship 30% waiver

Projects

Selected Projects

IEEE

Bangla License Plate Recognition (Research)

Real-Time Bangla License Plate Recognition using Faster-RCNN and SSD. Published in an IEEE Conference.

🔗 IEEE Xplore | ResearchGate

Tools & Technologies:
Deep Learning, Computer Vision, TensorFlow, Keras, OpenCV,
Python (Pandas, Numpy, Matplotlib, Regex), Anaconda Environment

IEEE Conference

Contact

Email: tariqulislam2594@gmail.com.ca

Email: tariqul.islam@mail.concordia.ca