Adriteyo Das

Computer Vision. Low Level Systems. Forensics.

About

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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Experience

Upcoming SEP Intern Jun 2026 – Aug 2026

JPMorgan & Chase, Bangalore

  • Selected for the Software Engineer Program (SEP) Internship at JPMorgan & Chase
  • Will be working in the Bangalore office, Summer 2026
Undergraduate Research Assistant Aug 2025 – Present

Carnegie Mellon University · Xu Lab

Research in biomedical AI under Dr Xingjian Li and Dr Min Xu, focusing on computational biology and deep learning applications.

Head of Research & Development Apr 2024 – Present

Cryptonite · MIT Manipal's Official Cybersecurity Team

  • Leading R&D initiatives for one of the best academic CTF teams in Asia
  • Specialize in Digital Forensics, Incident Response (DFIR), and AI Security challenges
  • Developed and deployed challenges for niteCTF 2024 and 2025 — 3rd highest rated Indian CTF globally
  • Mentoring junior members in forensics, reverse engineering, and ML-based security research
  • Part of core research team exploring intersection of AI and cybersecurity
Research Intern Jan 2025 – Aug 2025

Indian Statistical Institute, Kolkata · CVPR Research Group

  • Worked under Dr Umapada Pal with collaboration from University of Salford and Chinese Institute of Information Science
  • Implemented novel Deepfake Detection algorithm that outperformed SOTA methods
  • Paper accepted at ACPR-2025 (Asian Conference on Pattern Recognition)

Publications

Non-correlative Feature Interaction for Classification of Real and Fake Scene Images Nov 2025

8th Asian Conference on Pattern Recognition (ACPR), Gold Coast

Springer ↗

Comparative Analysis of Multimodal Architectures for Effective Skin Lesion Detection Aug 2025

Frontiers in Artificial Intelligence

Frontiers ↗

Education

Manipal Institute of Technology 2023 – 2027

B.Tech — Computer and Communication Engineering

CGPA: 9.3

Top 0.01 percentile in the ICT Department

DPS Ruby Park 2021 – 2023

Class 12 — PCMCS Stream

95.2% CBSE · House Prefect · Tech Club Core

Skills

Languages

Python C/C++ Rust Bash JS SQL

Frameworks

PyTorch Flask React Electron Three.js

AI/ML

CV XGBoost GANs Ollama

Security

IDA Ghidra Volatility DFIR

Tools

Docker MariaDB SDL2 Socket.IO

Achievements

1st Place

  • EnigmaXplore 2024 — IIIT Naya Raipur
  • BITSCTF 2024 — BITS Goa
  • CruXipher 2024 — BITS Hyderabad
  • KashiCTF 2025 — IIT BHU Varanasi

2nd Place

  • TexSAW CTF 2025 — UT Dallas
  • BITSCTF 2025 — BITS Goa
  • CapturePoint CTF 2025 — IIIT Vadodara
  • ExploitX CTF 2025 — Top Individual

3rd Place

  • Codefest CTF 2025 — IIT BHU
  • eHax CTF 2025 — DTU Delhi
  • FooBar CTF 2025 — NIT Durgapur

Academic

  • Achiever's Scholarship — MIT Manipal
  • Finalist — JPMorgan Code for Good
  • Paper accepted — ACPR 2025

Volunteering

Head of Deep Learning

The Data Alchemists

Official Data Science Club, MIT Manipal

Head of Cybersecurity

Research Society Manipal

MIT Manipal

Member

Rotaract Club of Manipal

Community Service

Projects

ChiefWarden github ↗

Hybrid malware detection — PE analysis + ML (98.89% accuracy)

PyTorch XGBoost
SimuTrade

Real-time stock trading simulator with Prophet forecasting

React Flask Docker
GAN_RepairNet github ↗

GAN for restoring corrupted dashcam images

PyTorch U-Net
DropLAN github ↗

Real-time local network file sharing with QR connectivity

Flask Socket.IO
Irones github ↗

Cycle-accurate NES emulator with SDL2 rendering

Rust SDL2 6502
FermiURL github ↗

Minimalistic URL shortener with click tracking & analytics

React Flask MariaDB
MemHawk github ↗

AI-powered memory forensics platform for comprehensive dump analysis

Python Ollama Electron
Astraeus github ↗

Real-time orbital collision risk prediction with ML ensemble (94.2% accuracy)

Three.js XGBoost Flask
GitHub Contributions

Hobbies

Sci-Fi

RPGs

Barça

McLaren

Resume

Contact

Open to research opportunities and internships.

or email das.adriteyo@gmail.com