I am B. Nikhil Chandan, a 4th‑year B.Tech Cyber Security student at Amrita Vishwa Vidyapeetham, based in India.
- Tech stack languages: Python, Java, C, Bash
- Project: Cancer Drug Response Prediction using AINN – CNN + RNN hybrid trained on GDSC and GENIE datasets.
The repository was started in 2022‑12 and last updated in 2025‑07.
“I don’t just write code, I solve problems that matter.”
- Project: LogSHIELD – Real‑time graph‑based anomaly detection on system/network logs.
- Project: Phishing Email Detection System – NLP‑driven classifier.
- AI/ML frameworks: TensorFlow, PyTorch, Keras, Scikit‑learn
- Cybersecurity tools: Nmap, Wireshark, Burp Suite, Metasploit
- Other tools: Docker, VS Code, Jupyter
- Web frameworks: Flask, FastAPI
- Databases: MySQL, SQLite, Firebase
I am Nikhil Chandan Belide, known on GitHub as @nikhil9622, based in Chennai, India, with an active account since 2022.
My repositories span languages with counts: Python (4), HTML (3), CSS (2), Jupyter Notebook (2), Haskell (1), Kotlin (1), TypeScript (1).
The ZERA-Chatbot project shows 1 fork.
The Cancer-Drug-Response-Prediction-Using-AINN notebook has 1 fork.
The invsto-stock-forecasting repository covers 5 tech stocks.
I maintain a mix of beginner‑level apps like campus-market-android and advanced ML notebooks such as invsto-stock-forecasting and Cancer-Drug-Response-Prediction-Using-AINN, with frequent updates through 2026.