🌟 Python user | AI/ML/DL Enthusiast | Currently innovating Healthcare and Clinical Imaging
Welcome to my GitHub! I’m an Applied Scientist (Healthcare/Medical) and a Python developer with a passion for building AI-driven solutions and Automating workflows. My work focuses on developimg cutting-edge optimized and validated processes in healthcare and clinical research using algorithms based on machine learning, deep learning, image processing, and python.
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🔬 Background: I started as an R&D Project Scientist specializing in clinical trials for skincare and cosmetic products, but slowly transitioned my expertise into using clinical Imaging, Automation and software development. Currently, my focus has shifted to AI/ML applications using Python and Pytorch to solve real-world challenges in my industrial domain.
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🛠️ What I Do:
- Develop Python-based tools, pipelines and applications for data processing, image analysis, and workflow automation.
- Build AI/ML solutions for healthcare imaging and clinical workflows using Pytorch.
- Automate repetitive tasks using a plethora of python libraries.
- Validating and optimizing codebase using Claude Code and Github Co-Pilot as part of AI assisted Spec-driven development
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🚀 Currently Exploring: Advanced Computer vision algorithms, deep learning models, RAG and MCP based architechtures and advanced Python and Pytorch libraries and architecture patterns.
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🎯 Goal: All the interesting projects you find here wouldn't have been successful without the support, tips and mentorship of people way smarter than me from other diverse backgrounds. I feel both lucky and grateful for having had the chance to collaborate with them. That's why my goal is to stay open and stay curious for future collaboration on impactful AI/ML/Software projects, especially in healthcare, automation and imaging. Volunteering projects are also welcome. Feel free to reach out. Cheers!
- Python: Advanced knowledge (image processing, data analysis, AI/ML development).
- Libraries/Frameworks: NumPy, OpenCV, TensorFlow, PyTorch, scikit-learn, Pandas.
- Automation: Power Automate, AutoIT, VBA for Excel.
- AI/ML:
- Computer vision for image segmentation and analysis.
- AI-based tools for mapping medical imaging data (e.g., skin depth analysis).
- Training and deploying machine learning models for healthcare data.
- Image Processing:
- Python pipelines for clinical image segmentation and intensity mapping.
- Automation of repetitive image analysis workflows.
- Process Automation:
- End-to-end workflow automation using Python, VBA, and RPA tools.
Description: Developed a Python-based algorithm to segment image stacks and map intensity values to skin depth for clinical trials.
- Tech Stack: Python, OpenCV, NumPy, TensorFlow.
- Impact: Improved analysis accuracy by 40% and reduced manual effort by 10+ hours per trial.
- [Coming soon]
Description: Built automation scripts to streamline repetitive clinical image post processing tasks.
- Tools: Python, Latex, Excel and VBA
- Impact: Reduced technician workload by 30% and minimized human error.
- Repository Link
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AI & Machine Learning:
- Computer Vision for Healthcare Imaging.
- Developing machine learning models for predictive analytics.
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Process Automation:
- Workflow optimization using Python and RPA tools.
- Reducing repetitive tasks and enhancing operational efficiency.
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Healthcare & Clinical Research:
- Innovating imaging workflows for clinical trials.
- Developing AI tools and GUIs to assist healthcare professionals.
- LinkedIn: www.linkedin.com/in/jayeshbhat
- Portfolio/Blog: Coming soon!
Let’s collaborate on innovative Python, AI/ML/DS, or automation projects that solve real-world challenges!