WELCOME TO THE GRID, USER

ISHAN SURANA

About Me

I am currently a 3rd Year student at MIT Manipal, deeply passionate about cybersecurity and coding. As a quick learner, I engage actively in local tech communities and often participate in AI/ML competitions, hackathons and Capture The Flag challenges. My technical interests span quantum computing and AI/ML, alongside a keen enthusiasm for anime and movies.

My Projects
FederaNet

FederaNet

A Multimodal Cyberattack classification model trained on social media messages, using deep learning for NLP tasks.

It is built as component of a federated framework utilizing a custom blockchain system complete with consensus & smart contracts, public key cryptography, zero-knowledge proofs and post-quantum key distribution.

Source Live

cryptosystems

cryptosystems

The cryptosystems package offers a robust suite of classes and functions for both symmetric and asymmetric encryption, as well as hashing functionalities.

All modules are implemented from scratch in Python and C (for speed in mathematical functions), utilising only the built-in libraries like ctypes and hashlib, resulting in a dependency-free package.

Source PyPI

ClassRoom Allotment System

ClassRoom Allotment System

Project developed with the purpose of automation and streamlining the process of room reservation and allocation within academic institutions, made as part of project for the course Database Systems.

The backend is a Flask app, and utilises HTML, CSS and JS for frontend. SQLITE3 is used for database.

Source Live

Cyber Incidents Dashboard

Cyber Incidents Dashboard

Cyber Incident Dashboard made for SIH 2024, as part of team Cryptonite.

  • Problem Statement ID: 1667
  • Problem Statement Title: Developing a tool to provide for real time feeds of cyber incident pertaining to Indian Cyber Space.

Source Live

MetaDataScraper

MetaDataScraper

MetaDataScraper is a Python package designed to automate the extraction of follower counts and post details from a public Facebook page. It uses Selenium WebDriver for web automation and scraping, without the requirement of an API key.

Two modes of operation: LoginLess for general purpose, and LoggedIn to access private pages.

Source PyPI

Skills
  • Programming Languages: (C, Java, Python, Bash, JavaScript)
  • Web Development: (HTML, CSS, React, NodeJS, Flask, Django)
  • Databases: (SQLite3, Database Management)
  • Security & Hacking: (Ethical Hacking, CTFs, Web Exploitation, Cryptography, PyCryptodome)
  • Software Development: (Object-Oriented Programming, Data Structures and Algorithms, Berkeley Sockets API)
  • AI/ML: (Artificial Intelligence, Machine Learning, Neural Networks, Natural Language Processing (NLP), Time Series Analysis, Demand Forecasting and Sales Prediction, scikit-learn, Keras, TensorFlow, NLTK)
  • Computer Vision: (OpenCV, Pillow, scikit-image)
  • Data Analysis & Visualization: (Numpy, Pandas, Matplotlib, Seaborn, Altair, NetworkX, Graphviz, Statsmodels, Power BI, Streamlit)
  • Quantum Computing: (Quantum cryptography, Qiskit)
  • Cloud & DevOps: (Azure DevOps, Docker, Git, GitHub)
  • Testing & Automation: (requests, Selenium, BeautifulSoup, PyTest)
  • Other Tools & Libraries: (Sphinx, Owlready2)
Education

Schooling

AISSE (Class 10) - CBSE: 96.8%

AISSCE (Class 12) - CBSE: 94%

B.Tech in Information Technology

    Manipal Institute of Technology - CGPA: 8.54

  • Pursuing Minor B.Tech in Computational Intelligence
  • Pursuing Honours in AI/ML
Experience

Core Team Member at Cryptonite

Duration: December 2022 - Present

  • Participated in CTFs as part of the official cybersecurity team of MIT Manipal, mostly delving in web exploitation domain.
  • Organized and helped host niteCTF 2023 and prepared 2 challenges (regarding SQLi and steganography)
  • Active involvement in the AI/ML and research domains, with work on federated cyberattack analysis and ontology representation and reasoning incorporating knowledge graphs.

    • Core Team Member at ACM Manipal Chapter

    Duration: June 2023 - Present

  • Attend various talks by ACM alumni.
  • Participated as well as helped organize various coding competitions and workshops.

    • ML Intern at Brainvire Infotech

    Duration: May 2024 - July 2024

  • Developed scripts and applications to meet various needs of our clients, primarily focusing on sales prediction and forecasting (utilizing statistical and regressive ML models).
  • I was responsible for data analysis and cleaning, model experimentation, hyperparameter tuning, model deployment and ensuring reproducibility with low latency.
  • Improved efficiency in projects involving social media data scraping, ID validation, chatbot testing and more.