Abin Joseph
B.Tech Computer Science graduate from Sahyadri College of Engineering and Management
Bengaluru · https://www.linkedin.com/in/-abin007/ · https://github.com/ABINJ007
About
Computer Science Engineering student passionate about Software Development, Artificial Intelligence, Machine Learning, and Full-Stack Development. I have experience building scalable web and mobile applications using Flutter, React, Next.js, FastAPI, PostgreSQL, and Python. My projects include AI-powered attendance systems, intelligent URL classification platforms, and ZYVEX, a smart vehicle service management platform. I enjoy solving real world problems through technology and continuously learning new tools and frameworks. Technical Skills: • Python • Java • JavaScript • React.js • Next.js • Flutter • FastAPI • PostgreSQL • Machine Learning • Git & GitHub Open to Software Development, Full-Stack Development, Backend Development, and AI/ML opportunities.
Experience
Product Engineer Intern
Jan 2026 – Apr 2026TrueByte Innovation LLP
Developed backend components for CVETrack AI, an AI-powered cybersecurity platform supporting CVE tracking, vulnerability assessment, threat intelligence, exploit prediction, and enterprise security monitoring.
Education
Sahyadri College of Engineering and Management, Mangalore, Karnataka
2022 – 2026Bachelor of Engineering, Computer Science and Engineering
Projects
ZYVEX – Smart Vehicle Care Platform
Flutter, FastAPI, PostgreSQL, WebSockets, Docker
Developed a scalable full-stack vehicle service platform supporting service booking, real-time tracking, subscription management, worker allocation, and end-to-end service lifecycle management.
AllSafe – Multimodal Cyber Threat Detection System
Next.js, FastAPI, Python, Machine Learning
Developed a multimodal cyber threat detection platform to identify malicious URLs, images, and multimedia content using machine learning techniques.
NewsCred – ML-Based Fake News Detection System
Flask, Python, HTML, CSS, JavaScript, Machine Learning
Developed a machine learning-based web application for fake news classification using TF-IDF vectorization and logistic regression.
Skills
Achievements
Research Paper Presentation — IEEE ETCOM 2025
2025Presented the research paper “Multimodaal Cyber Threat Detection System Using Machine Learning” at the 2025 IEEE International Conference on Emerging Trends in Computing and Communication (ETCOM), held on 28–29 November 2025.