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SD

Shivang Dubey

Computer Science student · Cybersecurity & Infrastructure Security

Noida, Uttar Pradesh, India

@shivangdubey

LinkedIn GitHub

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🎓 B.Tech in Computer Science and Engineering (AI & ML) at ABES Institute of Technology · Graduating 2028

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About

Computer Science student (AI & ML) with a cybersecurity focus, experience building security tooling around audit logging, cryptographic hashing, anomaly detection, and MITRE ATT&CK mapping. Strong Python and API experience, with leadership and communication highlighted through hackathon and team projects.

Experience

  • Software Engineer Intern
    BlueStock Fintech · Remote, India
    Jun 2024 – Aug 2024

    Developed IPO page frontend and backend using Python, Django, and JavaScript; built REST APIs. Worked in a remote Agile team using Git and code reviews; debugged and resolved issues across the stack.

Education

  • B.Tech
    ABES Institute of Technology
    Computer Science · Sep 2024 – Sep 2028
  • Class XII
    Sumeet Rahul Goel Memorial Senior Secondary School
    2019 – 2024

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
Python Django Debugging JavaScript API Integration Understanding
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C SQL Java NumPy Pandas Node.js PyTorch Streamlit TensorFlow scikit-learn Cryptography MITRE ATT&CK Cybersecurity Audit logging Anomaly detection Intrusion Detection Technical Documentation

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
Git
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
GitHub VS Code Firebase Jupyter Notebook

Projects

  • Curivo: Mental Health Support Chatbot
    Python, NLP, LLMs, Firebase

    Developed a chatbot combining rule-based responses, LLMs, and sentiment analysis; ran user studies with 500+ participants.

  • Offline Biometric Attendance System
    React.js, IndexedDB, Firebase

    Built an offline-capable PWA with face recognition, QR scanning, and manual entry for user identification. Tested with 1,000+ students; syncs when connectivity returns.

  • OracleShield: Network Attack Forecasting
    Python, PyTorch, scikit-learn, Streamlit

    Led CyberOracle on NTRO problem SIH26153 to forecast the next stage of a network attack. Processed 148,517 NSL-KDD records into 16-value state vectors; 73.67% detection accuracy with Random Forest; LSTM predicts the next state. Built SHA-256 tamper-evident audit logging, drift detection, MITRE ATT&CK stage mapping, and a dashboard for monitoring and alerting; documented the design for the team.

Courses & certifications

  • J.P. Morgan Quantitative Research Job Simulation · Forage · 2025
  • Deloitte Cyber Job Simulation · Forage · 2025
  • Python Fundamentals · Infosys Springboard

🏆 Achievements & awards

  • 2nd place, HackQube Dev2Hack

    Awarded for an Intrusion Detection and Prevention System (IDPS) built with Microsoft Office.

⚽ Extracurricular activities

  • Team Leader, CyberOracle

    Led the team for Smart India Hackathon 2026 on NTRO problem SIH26153.

  • Head Boy

    Led the student council and mentored junior students at Sumeet Rahul Goel Memorial School.

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