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adriteyo das {tryhard} Cryptonite

[ai_research] [cybersec] [ctf_dfir]

4dr1t3y0_d45:~
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01. about_me

$ whoami

i'm an undergraduate in computer and communication engineering at mit manipal, consistently ranked among the top 3 in my department. my work lies at the intersection of artificial intelligence and cybersecurity, with a focus on deepfake detection, adversarial robustness, and explainable ai.

i'm also an active member of cryptonite, one of the highest-ranked ctf teams globally—#1 in india and #6 worldwide on ctftime at our peak. beyond research and competitive security, i'm passionate about building scalable systems, with a strong interest in backend development and real-world ml applications.

02. education

manipal institute of technology

2023 – 2027

bachelor of technology — computer and communication engineering

manipal, karnataka

9.47/10.0

dps ruby park

2021 – 2023

class 12 — science stream

kolkata, west bengal

95.2% cbse boards

house prefect • tech club core member

03. skills

languages

python c/c++ java javascript sql bash html/css latex

frameworks

pytorch hugging face flask react.js opencv openlayers docker

ai/ml

computer vision nlp gans xgboost bert cnn transfer learning

cybersecurity

volatility wireshark ida pro ghidra binary analysis reverse engineering dfir

tools

git mysql jwt redis prophet streamlit cuda rest apis

04. achievements

ctf rankings

ranked #1 ctf team nationally in 2025 and #3 in 2024 on ctftime.org as part of team cryptonite

1st positions

  • enigmaxplore 2024 ctf (iiit naya raipur)
  • bitsctf 2024 (bits goa)
  • cruxipher 2024 (bits hyderabad)
  • kashictf 2025 (iit bhu varanasi)

academic & special awards

  • achiever's scholarship recipient - manipal institute of technology
  • exploitx ctf 2025 - top individual performer award
  • 2nd position: texsaw ctf 2025, bitsctf 2025, capturepoint ctf 2025
  • 3rd position: codefest ctf 2025, ehax ctf 2025, foobar ctf 2025
  • finalist, jpmorgan&chase code for good 2025

05. experience

research intern

february 2025 – present

computer vision and pattern recognition unit, indian statistical institute

kolkata, india · on-site

  • working with dr. umapada pal and dr. shivkumar on deepfake detection using cnns with frequency-domain features
  • building robust detection pipeline leveraging pytorch amp, cuda optimizations, and handcrafted feature fusion
  • implementing state-of-the-art adversarial robustness techniques and multi-scale feature extraction

ug research assistant

july 2024 – present

manipal institute of technology

manipal, karnataka, india · on-site

  • collaborating with dr. nisha p. shetty on explainable ai (xai), nlp, and computer vision research
  • built multimodal disease classifier using image-text fusion architecture; achieved 92% accuracy
  • proposed intent classification system on social media data using bert/electra/distilbert; auc-roc: 0.9618
  • co-authoring paper on explainability in lesion classification (under review at top-tier conference)

team member & ai research domain mentor

january 2024 – present

cryptonite

manipal, karnataka, india · on-site

  • extensively competed in ctfs specializing in dfir, network security, and ai security
  • part of research team focusing on ai and cybersecurity intersection
  • team ranked #1 nationally in 2025 and #3 in 2024 on ctftime.org
  • created 2 challenges for nitectf 2024 - 3rd highest rated indian ctf on ctftime.org
  • mentoring junior members as ai and research domain mentor

volunteer developer

january 2025 – july 2025

open horizon robotics (mapmit project)

manipal, karnataka, india · remote

  • developed real-time 3d interactive campus mapping system using openlayers.js with rest api integration
  • implemented dynamic ui filters, responsive map cards, and geospatial data overlays
  • optimized rendering performance using webgl acceleration and efficient data caching strategies

06. projects

chiefwarden

Hybrid malware detection system combining PE analysis and ML (98.89% acc)

Python PyTorch XGBoost

simutrade

Real-time stock trading simulator with yFinance, Prophet forecasting, JWT auth

React.js Flask MySQL Docker

gan_repairnet

GAN for restoring corrupted dashcam images using adversarial + perceptual losses

PyTorch U-Net PatchGAN

optimarket

Customer segmentation + targeting using LLMs, KMeans, PCA, RFM

Streamlit LLMs sklearn

droplan

modern real-time local network file sharing tool with web interface and QR code connectivity

Flask Socket.IO JavaScript Python
GitHub Contributions
Adriteyo Das's Github Contribution Chart

07. resume

$ cat resume.md
download_resume("adriteyo_das_resume.pdf")
download view

08. hobbies

sci-fi literature

avid reader of futuristic worlds

rpg gaming

immersive storylines & strategy

football

visca el barça!

formula 1

mclaren racing enthusiast

09. contact

Currently open to internships or research opportunities.

contact.sh
send_message --to das.adriteyo@gmail.com