๐ About Me ๐
I am Subin S, a passionate ML Engineer based in Kerala, India ๐ฎ๐ณ. With a B.Tech in ECE from KTU University ๐, Iโve honed my skills in Python, TensorFlow, and Segmentation models over three years. Iโve worked at Aramis Imaging LLP as an AI Developer/ML Engineer and at ICT Academy of Kerala as a Data Science Analyst. I excel in crafting robust AI solutions for medical imaging and disease diagnosis. Letโs connect on LinkedIn ๐!
๐ ๏ธ Projects
1. Renal Image Segmentation Model
- Developed a robust renal image segmentation model using TensorFlow and CNNs, achieving state-of-the-art results.
- Collaborated with medical experts to validate and refine the modelโs accuracy for clinical settings.
- Website: aira.protosonline.in
2. Cancer Classification Models
- Utilized machine learning algorithms for prostate, lung, rectum, breast, and colon cancer classification, aiding in disease diagnosis and risk assessment.
- Website: chaimeleon.grand-challenge.org
3. Vertebrae Segmentation
- Implemented deep learning techniques for accurate segmentation of C2 and L5 vertebrae, showcasing proficiency in medical image analysis.
- Website: vertevue.protosonline.in
4. Whole-Body Tumor Detection
- Designed and implemented a CNN model for whole-body tumor detection, contributing to early detection strategies.
- Website: suvue.protosonline.in
5. Breast Cancer Classification
- Developed a multi-class classification model for breast cancer types, showcasing expertise in medical image analysis and classification.
- Created a DIY AI tool for medical experts and doctors to create AI models without coding, pioneering a new approach in AI model development.
- Website: diyai.protosonline.in
7. Medical Chatbot Development
- Utilized generative AI and RAG method to develop a medical chatbot for radiologists using data from radiopaedia.org, enhancing communication and workflow efficiency.
- Website: simara.protosonline.in
8. Version 2 of Renal Segmentation
- Developed version 2 of Renal Segmentation, including cyst prediction in addition to kidney and calculi detection.
- Website: airav2.protosonline.in
๐ป Technical Skills
- Languages: Python, JavaScript, SQL
- Frameworks: Flask, Django
- Tools: ImageJ, MEDSEG
- IDE: Spyder, VScode, PyCharm, Google Colab
- Proficiency: TensorFlow, Numpy, Pandas, Scikit-learn, OpenCV
๐ Achievements
- Participated in the Grand Challenge Competition at chaimeleon.grand-challenge.org and achieved top-level positions in various challenges.
- Attended RSNA and Arab Health Expo (2022, 2023 - Online)
๐ Others
- Experience in hosting and DevOps, as all projects are live and hosted using either Nginx or Caddy.
- Proficient in English, Malayalam, and Hindi.
- Email: subinvidhu3232@gmail.com
- Phone: 8086516291
- Location: Kerala, India
- Letโs connect on LinkedIn ๐!