Gouresh Madye

I am an AI/ML-focused software engineer with hands-on experience building and deploying computer vision and NLP systems. I blend deep learning research with pragmatic engineering to deliver production-ready solutions that improve operational efficiency.

During internships, I developed an enhanced PDF table extraction system that improved information retrieval accuracy by 20%, and I curated domain-specific datasets and evaluated models achieving up to 93.87% accuracy and a 0.9376 F1-score.

My projects include a ResNet50-based fetal heart disease detection pipeline deployed with Flask and Gunicorn, and an OCR-to-LLM medical prescription pipeline integrating Google Cloud Vision, Qwen, and BioBERT options for drug-interaction checks.

I lead cross-functional teams as a former CEO of ISTE VESIT, managing 50 members to run workshops and large events, and I bring strong engineering discipline with tools like Docker, GitHub, PyTorch, TensorFlow, and Flask.