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AM

Arjun Ramadas Menon

B.Tech Computer Engineering student · Aspiring Software Developer

Kalyan, Maharashtra, India

@arjun_menon

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B.Tech in Computer Engineering at University of Mumbai · Graduating 2027

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About

Computer Engineering student at Pillai College of Engineering with hands-on experience in web development, machine learning projects, and database-backed applications. Interested in software development, cybersecurity, cloud computing, and database engineering.

Education

  • Bachelor of Technology
    Pillai College of Engineering
    Awarded by University of Mumbai
    Computer Engineering · 2023 – 2027
  • Higher Secondary
    KM Agrawal College
    2023
  • High School
    Shri Vani Vidhyashala High School
    2021

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C CSS PHP HTML React Flask Scapy Python Pandas Node.js XGBoost JavaScript Q-Learning scikit-learn Cybersecurity Random Forest Cloud Computing Machine Learning Isolation Forest Software Development Database Engineering Full-stack Development

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Linux MySQL Cursor Docker Render MongoDB VS Code Kali Linux PostgreSQL Microsoft Windows

Languages

Not stated Not stated No level given for this one.
Hindi Speak English Speak Marathi Speak Malayalam Speak

Projects

  • NGO Web Application Platform
    HTML, CSS, JavaScript, PHP, MySQL, Render

    Designed and developed a responsive web platform to streamline donation processing, volunteer engagement, and campaign tracking. Integrated secure server-side validation, relational database storage, and custom contribution workflows to ensure reliable transactions.

  • Food Waste Management System
    Python, XGBoost, Scikit-Learn, Pandas, HTML, CSS, Flask, JavaScript, Joblib, Chart.js

    Developed a system focused on reducing surplus food wastage by optimizing resource allocation and coordination between donors and receivers. Built user interaction modules, managed database flows, and enabled accurate tracking of excess food availability.

  • Self-Healing ML-Driven Pre-Firewall Packet Sanitization System
    Python, Machine Learning, Scikit-learn, Scapy, XAI, Random Forest, Isolation Forest, Q-Learning, Firewall

    Developing an adaptive cybersecurity system that utilizes machine learning to intercept and sanitize malicious network packets prior to firewall processing. Applied anomaly detection and reinforcement learning concepts to build a self-healing threat defense model through team research and optimization.

Courses & certifications

  • Deloitte Virtual Internship · Deloitte

⚽ Extracurricular activities

  • Hackathon Participation
  • Technical Events

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