Bhagya S Nair

About

Computer Science and Engineering student with hands-on project experience in AI systems, kernel-level security, and C++ application development. Comfortable working with Python, Java, C++, and modern development tools across academic and personal projects.

Education

• Higher Secondary Education
  Good Shepherd Public School and Junior College
  Apr 2022 – May 2024
• Bachelor of Technology
  Lovely Professional University
  Computer Science and Engineering · Aug 2024

Skills

• C <3 months
• FastAPI <3 months
• Python <3 months
• Java <3 months
• JavaScript <3 months
• NumPy <3 months
• Pandas <3 months
• scikit-learn <3 months
• Flask <3 months
• Tkinter <3 months
• HTML&CSS <3 months

Tools / apps / platforms

• ChromaDB <3 months
• Docker <3 months
• Git <3 months
• GitHub <3 months
• Hugging Face <3 months
• MongoDB <3 months
• MySQL <3 months
• Ollama <3 months
• Oracle Cloud Infrastructure <3 months

Projects

• Browser History Simulator ↗
  C++, STL, Data Structures, OOP, File Handling

  Developed a C++ console application simulating browser history with Back/Forward navigation, search, favourites, homepage, and history management. Implemented Stacks, Vectors, and Hash-based data structures for efficient navigation, storage, and website searching. Added file handling for importing and exporting browsing history with persistent data storage.

• KIDS – Kernel-Level Intrusion Detection System ↗
  C, Python, Linux Kernel, Kprobes, Netlink, Bash, KBuild

  Developed a Linux kernel-level IDS to monitor system calls, process behavior, file integrity, and detect security anomalies in real time. Implemented syscall hooking, LSM/VFS monitoring, kernel integrity checks, and rule-based anomaly detection. Built kernel-to-user-space alerting and structured logging using Netlink sockets for real-time security monitoring.

• NEXUS AI – AI Programming & Debugging Assistant ↗
  React, TypeScript, PyTorch, Flask, Ollama, Monaco Editor

  Built a privacy-focused AI coding IDE with debugging, code explanation, test generation, and real-time AI assistance. Developed a custom GPT-style language model from scratch using PyTorch and integrated it with a Flask inference server. Implemented local AI processing with Monaco Editor, React, TypeScript, Ollama, and real-time streaming.

Courses & certifications

• Basics of DSA using C++ · Lovely Professional University · 2026
• Programming Using C++ · Infosys · 2025

🏆 Achievements & awards

• Solved 80+ Data Structures & Algorithms problems on LeetCode
• Completed multiple academic project while meeting deadlines and maintaining standards