Open to opportunities

Kavya User

@kavyauser5

AI researcher focused on machine learning and computer vision, building medical models that improve diagnostic accuracy.

South Korea

Message

What I'm looking for

I want to leverage my technical skills in AI to contribute to an organization’s goals—especially in applied medical AI—while continuing my professional growth through impactful research, strong engineering execution, and collaborative learning.

I’m an AI researcher who leverages machine learning and computer vision to improve diagnostic support. At AIdanBio, I developed and fine-tuned a Medical Vision-Language Model to enhance clinical reasoning, focusing on structured prompt design for more reliable and interpretable medical imaging results.

I’ve also driven end-to-end work from data collection and preprocessing to quality validation and robust training performance. My master’s research at Chungnam National University included building a lightweight YOLOv8 with a residual attention mechanism for leukemia detection, using PyTorch, and I’ve applied deep learning/ML to DNA sequence-based virus classification; I’ve shared this work through publications including IEEE Access.

Experience

Work history, roles, and key accomplishments

AI Researcher

AIdanBio

Jan 2025 - Nov 2025 (10 months)

Developed and fine-tuned a Medical Vision-Language Model to improve clinical reasoning and diagnostic accuracy in medical imaging. Built end-to-end data pipelines including data collection, preprocessing, and quality validation to support robust model performance.

Vision Language Models Fine Tuning Data Pipelines data preprocessing Data Validation Medical Imaging Computer Vision

Graduate Research Scholar

Chungnam National University

Sep 2022 - Aug 2024 (1 year 11 months)

Conducted research on developing and analyzing a lightweight YOLOv8 model with a residual attention mechanism for accurate leukemia detection and classification. Also developed and implemented DNA sequence-based virus classification using deep learning and machine learning, including data preprocessing and model optimization.

PyTorch YOLOv8 Computer Vision Deep Learning Optimization data preprocessing Machine Learning

Data Analytics Consulting Intern

KPMG

Jun 2022 - Present (4 years 1 month)

Conducted data quality assessments to ensure dataset integrity and derived data insights to identify trends and patterns. Presented findings through comprehensive reports and visualizations.

Data Quality Data Integrity Data Insights Data Visualization Reporting

Machine Learning Intern

Deszone IT Solutions LLP

Jun 2020 - Present (6 years 1 month)

Developed and trained a machine learning model for the Health Insurance Cost Prediction project. Used various factors to predict individual insurance costs and produced accurate results.

Machine Learning predictive modeling

Education

Degrees, certifications, and relevant coursework

Chungnam National University

Master of Computer Engineering, Computer Engineering

2022 - 2024

Grade: GPA: 4.0/4.5

Pursued a Master of Computer Engineering with a thesis on developing and analyzing a lightweight YOLOv8 using a residual attention mechanism for accurate leukemia detection and classification.

Visvesvaraya Technological University

Bachelor of Computer Engineering, Computer Engineering

2017 - 2021

Grade: GPA: 8/10

Completed a Bachelor of Computer Engineering with coursework covering programming, machine learning, web technology, database management, and data structures.