Leo Tom is a Computer Science and Data Science professional with experience in deep learning and AI development. He has interned at aiRender and AIndra Systems, where he developed machine learning models for crop disease classification and cancer detection. Leo holds degrees from IIIT Kottayam and IIT Madras and is proficient in Python, TensorFlow, and PyTorch.
Experience
Deep Learning Intern
aiRender
Developing machine learning and deep learning models to classify crop diseases on images collected from various datasets. Further improve the models by implementing on 3-D Images/Captures of infected plants in the future. Conducted literature survey identifying latest usage of deep learning models in diseases identification in plants.
AI and Development Intern
AIndra Systems
Developed and optimized Deep Learning Model pipelines for cancer detection, achieving accuracy, sensitivity, specificity and other metrics above 95%. Created GUIs for converting WSI Images between formats and downloading, zipping and storing WSI efficiently. Streamlined data organization process to enhance model efficiency in low compute scenarios. Conducted comprehensive literature review on cancer detection methodologies, focusing on deep learning techniques and identifying datasets. Developed desktop application for automated slide strainer to help pathologists create and run user defined staining protocols.
Education
Indian Institute of Information Technology Kottayam
Bachelor of Technology
Computer Science Engineering
Indian Institute of Technology Madras
Bachelor of Science
Data Science and Programming
Licenses & Certifications
Diploma in Data Science
IIT Madras
Diploma in Programming
IIT Madras
Practical Deep Learning for Coders
fast.ai