Mangaluru, Karnataka

Gagandeep T

MCA Graduate | AI/ML | Full-Stack Development

I build practical systems where machine learning meets usable software, from network intrusion detection and language-model fine-tuning to full-stack applications.

* Open to graduate roles| Software | Support | AI/ML
Portrait of Gagandeep T
PROFILE / GAGANDEEP T

Turning curiosity
into working systems.

A concise view of the interests, education and direction behind the work.

I work across the stack between raw data and a working product: building ML models that classify network traffic, language models that understand Tulu, and React/PHP/MySQL applications that put capabilities in front of users.

My MCA work centered on a Network Intrusion Detection System and a fine-tuned LLM for Tulu, a low-resource Indian language, taken from data pipeline to presented results. I am looking for a Graduate Engineer Trainee role where I can bring that problem-solving mindset to real engineering challenges and keep learning fast.

8.04CGPA
MCA, 2024 - 2026
8.56CGPA
BCA, 2021 - 2024
2ML systems
NIDS & Tulu LLM

Experience that
ships into reality.

Two internships across AI/ML research and full-stack development.

FEB 2026 - MAY 2026

AI/ML Intern

Comed Kares | Bangalore
  • Built a Network Intrusion Detection System using Random Forest and SVM to classify malicious traffic in real time.
  • Fine-tuned a Tulu-language LLM with Hugging Face Transformers for text generation and classification.
  • Engineered features from network and text datasets, improving accuracy and training efficiency; documented results for the research team.
  • Presented the NIDS project at Razz Cyber Security, Bangalore, discussing implementation with practicing security professionals.
MAR 2024 - JUN 2024

Full Stack Developer Intern

Accolade Tech Solution Pvt. Ltd. | Mangaluru
  • Developed and deployed production web apps for live client projects using React, HTML, CSS, PHP and MySQL.
  • Built frontend-to-backend integrations that improved responsiveness and streamlined workflows across deliverables.
  • Designed a phishing detection system using machine learning to flag malicious URLs and web content for client-facing apps.

Projects with a
point of view.

Systems shaped around security, language and the practical work of shipping.

PROJECT / 001

Network Intrusion Detection System

Real-time classifier for malicious network traffic, with features engineered from raw traffic data for proactive monitoring.

PROJECT / 002

Tulu Language LLM Fine-Tuning

Fine-tuned an LLM for Tulu, a low-resource Indian language, for text generation and classification, with text preprocessing to improve training efficiency.

PROJECT / 003

Phishing Detection System

ML system that identifies malicious URLs and web content, strengthening security for live client-facing applications.

Tools for the
whole stack.

Technologies used across coursework, internships and projects. No proficiency percentages, just the tools themselves.

From Java and Python fundamentals to React interfaces, backend integrations and ML workflows, my toolkit follows the problem rather than a single layer of the stack.

Programming languages

JavaPythonSQL

Web development

ReactHTML5 / CSS3JavaScriptFlaskPHPMySQLREST APIs

AI / machine learning

scikit-learnTensorFlowPyTorchXGBoostTransformersNLPNIDS

Tools & platforms

Git / GitHubVS CodeStreamlitColabGoogle Cloud

Academic
foundation.

Master of Computer Applications (MCA)

St Joseph College of Engineering & Technology, Mangaluru

2024 - 2026 | CGPA 8.04/10

Bachelor of Computer Applications (BCA)

Vivekananda College of Arts, Science and Commerce, Puttur

2021 - 2024 | CGPA 8.56/10

Continuous
learning.

Cybersecurity Course - Skill India Digital Hub MAR 2026
Privacy and Security in Online Social Media - NPTEL JUL - OCT 2025
PyThinking: An Approach to Problem Solving - VCET Puttur DEC 2022
Google Cloud Skills Boost JAN 2024

Let's build something useful.

I'm based in Mangaluru, Karnataka and open to graduate opportunities across software, technical support, AI/ML and full-stack development.