Vijay Kapse

I am an AI Research Engineer with expertise in Generative AI, transformer-based models (BERT, GPT, LLaMA), and deep learning pipelines. With hands-on experience in medical image analysis, NLP pipelines, and AI model optimization, I specialize in building scalable solutions that drive measurable impact.

At Kasturba Medical College, I developed a UNet++ deep learning pipeline for heart disease diagnosis, achieving 95% accuracy. I also optimized PyTorch workflows to improve A100 GPU utilization by 200% and created preprocessing pipelines for 5TB of data, enhancing speed by 40%. My work has contributed to two published research papers on CNN architectures.

Previously, at ISB, I built a Generative AI-powered storytelling tool that transformed 100+ textbooks into interactive educational stories, increasing student engagement by 35%. During my research internship at IIT Madras, I analyzed NASA microbial data to identify key bacterial species for hospital sanitation, influencing policy improvements.

Core Skills:
Machine Learning Algorithms: Neural networks, supervised and unsupervised learning.

Programming & Tools: Python (NumPy, Pandas), R, SQL, PyTorch, TensorFlow, Hugging Face Transformers.

Big Data & Cloud Computing: AWS SageMaker, GCP AI Platform, Apache Spark.

Specializations: Computer vision, NLP pipelines, data preprocessing.
 

I am an AI Research Engineer with expertise in Generative AI, transformer-based models (BERT, GPT, LLaMA), and deep learning pipelines. With hands-on experience in medical image analysis, NLP pipelines, and AI model optimization, I specialize in building scalable solutions that drive measurable impact.

At Kasturba Medical College, I developed a UNet++ deep learning pipeline for heart disease diagnosis, achieving 95% accuracy. I also optimized PyTorch workflows to improve A100 GPU utilization by 200% and created preprocessing pipelines for 5TB of data, enhancing speed by 40%. My work has contributed to two published research papers on CNN architectures.

Previously, at ISB, I built a Generative AI-powered storytelling tool that transformed 100+ textbooks into interactive educational stories, increasing student engagement by 35%. During my research internship at IIT Madras, I analyzed NASA microbial data to identify key bacterial species for hospital sanitation, influencing policy improvements.

Core Skills:
Machine Learning Algorithms: Neural networks, supervised and unsupervised learning.

Programming & Tools: Python (NumPy, Pandas), R, SQL, PyTorch, TensorFlow, Hugging Face Transformers.

Big Data & Cloud Computing: AWS SageMaker, GCP AI Platform, Apache Spark.

Specializations: Computer vision, NLP pipelines, data preprocessing.
 

B.S. in Data Science from IIT Madras