AI & ML Engineer

Kavin
Kumar
Subramaniam

Building intelligent systems at the crossroads of machine learning, medical imaging, and web technology.

8.2
CGPA
3+
Projects
5+
Certifications
AI & ML
Medical Imaging Deep Learning NLP Systems
PythonMachine Learning3D VisualizationFlaskHugging FaceAR / VRTensorFlowDICOM ImagingNLPOpenCV PythonMachine Learning3D VisualizationFlaskHugging FaceAR / VRTensorFlowDICOM ImagingNLPOpenCV
01

Student.
Builder.
Solver.

I'm a B.E. student in Artificial Intelligence and Machine Learning at K S Rangasamy College of Technology. My work combines theoretical depth with hands-on engineering.

From 3D medical image systems to AR/VR surgery simulations — I build things that matter.

Degree
B.E. — AI & ML
Institution
KSR College of Tech
Duration
2023 – 2027
Location
Tamil Nadu, India
Academic Performance
8.2/10
Current CGPA
"Seeking opportunities to apply technical skills and contribute to innovative real-world solutions."
02

Skills & Stack

Tools I work with
⌨️
Programming
PythonJavaCJavaScriptMySQLML
🌐
Web & App Dev
HTMLCSSFlask
🧠
Deep Learning
OpenAITensorFlowHugging FaceNLPSpaCyNLTK
03

Selected Work

001

3D Model Visualization

An advanced 3D medical image visualization system similar to Slicer 3D. Enables efficient rendering, viewing, and manipulation of DICOM images with axial plane support, smooth transitions, and AprilTag-based orientation control. Flask backend bridges Python processing with a JavaScript front-end in real time.

Outcome — Delivered a lightweight, web-based 3D visualization system that enhances medical image accessibility and interactivity.
Stack
PythonJavaScriptFlask3D SlicerOpenCVDICOM
002In Progress

Aegis XR — AR/VR Surgery Simulation

An interactive surgical simulation platform built in Unity for real-time 3D visualization and procedural training. Focuses on realistic anatomy rendering, instrument interaction, and physics-based simulation to enhance medical education and hands-on learning.

Stack
UnityAR / VR3D RenderingPhysics Sim
003

English Data Augmentation

A data augmentation and grammatical error correction system designed to enhance English sentence quality. Detects and corrects spelling, grammatical, and contextual errors to improve dataset accuracy for AI-based applications.

Outcome — Built an intelligent text correction framework enhancing grammatical accuracy, readability, and dataset reliability for NLP applications.
Stack
PythonNLPTransformersTextBlobSpaCyNLTK
04

Achievements

🏆

Finalist — MSME Smart India Hackathon

Selected for designing AI-based solutions for government-led problem statements. Showcased innovation, teamwork, and application of emerging technologies.

🤖

Google AI/ML Virtual Internship

Completed the Google AI & ML internship gaining exposure to data preprocessing, model training, and predictive analytics using Python and Google Colab.

📡

NPTEL Certification — IoT

Gained in-depth knowledge of sensor networks, embedded systems, and cloud integration with practical insights into real-world IoT applications.

📜

Infosys Springboard Certifications

Completed certified courses on Python and Java demonstrating strong understanding of OOP concepts and application development.

💻

Intercollege Hackathons & Codeathons

Actively participated in intercollege-level hackathons developing AI-driven and real-time problem-solving applications. Collaborated in teams to design, code, and deploy innovative software solutions under time constraints.

05

Let's build
something.

Open to internships, collaborations, and interesting problems. Reach out anytime.