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About Me

Passionate Biomedical Engineer with expertise in AI-driven medical imaging, machine learning, and bioinformatics.

Dedicated to advancing medical AI research and developing innovative solutions for improved healthcare diagnostics.

Skilled in deep learning, Python, and data analysis, aiming to bridge technology and medicine for impactful healthcare advancements.

Experience

Barola Technologies Pvt. Ltd. Research and Development Intern

June 2023 - July 2023 | Chennai, India

Worked on AI-driven solutions for medical imaging and healthcare diagnostics.

Retake Solutions Pvt. Ltd. Intern

November 2023 - December 2023 | Chennai, India

Focused on hardware-software integration and real-time healthcare applications.

Education

SRM Institute of Science and Technology

B.Tech in Biomedical Engineering

September 2021 - June 2025 | Chennai, India

CGPA: 7.13/10

Relevant Coursework: Medical Image Processing, Signal Processing, Machine Learning, Computer Vision, Embedded Systems, Biomedical Instrumentation.

Ebenezer Marcus Matriculation Higher Secondary School

Higher Secondary Education

May 2021 | Chennai, India

Percentage: 87.08%

Ebenezer Marcus Matriculation Higher Secondary School

Secondary Education

March 2019 | Chennai, India

Percentage: 83.2%

SKILLS

Programming Languages

Python
SQL
HTML
MATLAB
Embedded C
CSS
JavaScript
Object Oriented Programming (OOP)
AI & ML

Data Science & Machine Learning

TensorFlow
PyTorch
OpenCV
Scikit-Learn
YOLOv8
MultiResUNet
CNN
ResNet-18

Soft Skills

Project Management
Teamwork
Logical Thinking
Creative Thinking
Problem-Solving
Time Management
Communication
Adaptability

Research Skills

Deep Learning for Medical Imaging
Image Segmentation
Data Preprocessing
Model Evaluation
Scientific Writing

Projects & Research

MultiResUNet Project

MultiResUNet for Precise Segmentation of Optic Disc and Blood Vessels

Developed a deep learning model using MultiResUNet for precise segmentation of optic discs and blood vessels in diabetic retinopathy images, achieving high accuracy in medical imaging.

Brain Tumor Segmentation

Automated Brain Tumor Segmentation in MRI Images using K-Means Clustering

Implemented an AI-powered approach for detecting and segmenting brain tumors in MRI images using K-Means Clustering and image processing techniques.

Diabetic Retinopathy Detection

Diabetic Retinopathy Detection, Segmentation and Classification Using YOLOv8,MultiResUNet and Resnet 18.

Developed an end-to-end AI pipeline using YOLOv8 for detection, MultiResUNet for segmentation, and ResNet-18 for classification of diabetic retinopathy cases.

Certifications

Python Certification

Introduction to Programming Using Python

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MATLAB Certification

Image Processing Using MATLAB

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Cybersecurity Certification

Foundations of Cybersecurity

View Certificate

Contact Me

Feel Free to Contact Me For Collaborations Or Any Inquirires