Undergraduate in Computer and Communication Engineering at MIT Manipal. I enjoy low-level coding and understanding how systems work at their core. My work lies at the intersection of AI and cybersecurity.
I play CTF for Cryptonite
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JPMorgan & Chase, Bangalore
Carnegie Mellon University Β· Xu Lab
Research in biomedical AI under Dr Xingjian Li and Dr Min Xu, focusing on computational biology and deep learning applications.
Cryptonite Β· MIT Manipal's Official Cybersecurity Team
Indian Statistical Institute, Kolkata Β· CVPR Research Group
8th Asian Conference on Pattern Recognition (ACPR), Gold Coast
Frontiers in Artificial Intelligence
B.Tech β Computer and Communication Engineering
CGPA: 9.3
Top 0.01 percentile in the ICT Department
Class 12 β PCMCS Stream
95.2% CBSE Β· House Prefect Β· Tech Club Core
The Data Alchemists
Official Data Science Club, MIT Manipal
Research Society Manipal
MIT Manipal
Rotaract Club of Manipal
Community Service
Hybrid malware detection β PE analysis + ML (98.89% accuracy)
Real-time stock trading simulator with Prophet forecasting
GAN for restoring corrupted dashcam images
Real-time local network file sharing with QR connectivity
Cycle-accurate NES emulator with SDL2 rendering
Minimalistic URL shortener with click tracking & analytics
AI-powered memory forensics platform for comprehensive dump analysis
Real-time orbital collision risk prediction with ML ensemble (94.2% accuracy)
Major contributor to Cryptonite's comprehensive forensics training repository covering steganography, network analysis, and digital forensics. Living resource for CTF challenges and incident response training material.
Cryptonite-MIT/dfir-gita Β· Training Resources
Implemented a comprehensive localStorage-based favorites/bookmarking system allowing users to star and save any content across the MIT Manipal Campus Directory for quick access.
aaditagrawal/campus-dining Β· +643 β50 Β· Merged
Fixed out-of-bounds array access vulnerability in message.rs. Added proper bounds checking for unknown_uuid_index before indexing into shared_string.uuids vector, preventing crash risk when handling corrupted DSC log files (CWE-125).
Mandiant (Google) Β· +36 β6 Β· Merged
Built a Python library for IMO Bench providing a clean API with type-safe dataclasses, lazy loading for GradingBench, filtering by category/difficulty/source, and 35 passing tests. Ready for PyPI publishing.
Google DeepMind Β· Merged
Comprehensive deep dive into memory forensics with Volatility covering plugins, lower-level internals, and advanced investigation techniques. Detailed exploration of how Volatility works under the hood with practical applications.
Step-by-step tutorial walkthrough for solving MemLabs Lab 6 challenge. Practical guide covering memory dump analysis, artifact extraction, and forensic investigation techniques using Volatility framework.
Sci-Fi
RPGs
BarΓ§a
McLaren
Open to research opportunities and internships.
or email das.adriteyo@gmail.com