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@goureshmadye
AI/ML-focused software engineer specializing in computer vision and production-ready ML systems.
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.
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Work history, roles, and key accomplishments
Larsen & Toubro Limited
Jun 2025 - Jul 2025 (1 month)
Developed an enhanced PDF table extraction system for quality inspection workflows, implementing keyword detection and custom regex to automate data extraction and improving information retrieval accuracy by 20%.
Vivekanand Education Society's Institute of Technology
Jun 2025 - Jul 2025 (1 month)
Curated a domain-specific dataset and implemented CNN+LSTM, I3D, and YOLOv8+ResNet models for evaluation, achieving 93.87% accuracy and 0.9376 F1-score with the YOLOv8+ResNet hybrid.
Degrees, certifications, and relevant coursework
Bachelor of Engineering, Engineering
Grade: 8.6/10 (up to Sem 6)
Activities and societies: Chief Executive Officer, ISTE VESIT; led a 50-member team to organize workshops, a flagship event, and a hackathon with 350+ participants.
Pursuing Bachelor of Engineering with an aggregate CGPA of 8.6/10 up to semester 6, expected graduation in May 2026.
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