Computer Vision (CV): Object detection, image classification, image segmentation, object extractionTrained and evaluated an object detection deep learning model to detect products in images and extract them for further processing, such as upscaling.Conducted image segmentation experiment on product images to optimize performance.Utilized the pytorch framework and Yolo pertained model for modelling.Natural Language Processing (NLP): Optical Character Recognition (OCR), text classification, Image text language translationPerformed OCR on image text representing product images, aided by google’s Document AI.Carried out customer review analysis using a binary text classification model, to gain insight into customer interaction with products.Translated image text from Korean to English using available API technologies.API creation for AI models:Created python APIs to enable deployment of trained models to production using Flask and FastAPI.

Medical AI:Image ClassificationXray abnormality detection

Taught mobile app development using MIT App Inventor to children of various ages.Designed personalized lesson plans to address specific learning goals.Taught programming concepts, syntax, and debugging techniques.Provided guidance and support in developing coding projects and assignments.Conducted classes both on-site and remotely.

Created helper functions for software development pipelinesConducted routine code reviews and bug fixes.Carried out Quality assurance for developed applications.Created and maintained technical documentation for production-level applications.Provided customer support and technical assistance regarding developed applications.Database administration and maintenance using Odoo.