Santhosh Venkatesan

Developed and implemented advanced deep learning algorithms to accurately detect logos and nutritional table from food product images. Collaborated with cross-functional teams to refine and optimize the logo and nutritional table detection models with data annotation. Instructed classes on the basics of full-stack web development with python and Django frameworks and guided project executions.

Trained 300+ students & working professionals to equip them with technical skills, in AI, Machine Learning and Python. Developed Interactive curriculums, for live and virtual classes containing case studies and Capstone projects. Instructed classes on the basics of full-stack web development with python and Django frameworks and guided project executions.

Oversaw the development of a natural language processing-based chatbot, resulting in a notable increase in customer Experience and Support resolutions. Created & retrained deep learning models to identify meal components with precision & efficiency, reducing manual work time by 50%. Integrated RASA's conversational AI with UneeQ, a digital human platform for enhancing the user experience through live interactions with AR-based virtual beings. Trained YOLO model with over 10,000 images for food object recognition. Constructed OCR model to accurately identify & extract data from digital clinical prescriptions & properly classify the components, boosting the workflow efficiency of pharmacologists. Applied machine learning algorithms to CGM data to derive actionable insights, establishing PoC for blood glucose predictions. Facilitated projects in Video-based biomarkers (Heart Rate) monitoring.

Deep and Dive into Probability and Statistics, Supervised and Unsupervised Machine Learning, Exploratory Data Analysis, Basics of Tableau, Hadoop, Spark and Hive