About

Swechha is a skilled Machine Learning Engineer with a professional master's degree in Machine Learning from Mila, University of Montreal. With a keen interest in the applications of machine learning in computer vision and NLP, she has developed expertise in a range of technologies, including ML, AI, Research Scientist, Computer Vision, NLP, Recommendation system, Data Scientist, Neural Networks, and ResNet. Currently working as a Junior Machine Learning Engineer at Phenomic AI, Swechha is focused on Single-cell transcriptomics data. In her previous role as a Machine Learning Engineer at Korbit AI, she designed and implemented a contextual spelling correction (CSC) system for student answers to data science questions on Korbit’s learning platform. She also designed and implemented a recommendation system to predict students’ pause behavior in online video lectures. At SeekShift, Swechha worked on emotion and action unit recognition in images/videos, experimented with different deep convolutional architectures such as ResNet, VGG, Alexnet for feature extraction, and implemented a key-frame detection algorithm for finding representative facial expressions in a given video. Swechha's educational background includes a Bachelor's degree in Electrical and Electronics Engineering from the Indian Institute of Technology, Kanpur, and a Master's degree in Machine Learning from the University of Montreal. She has 3.44 years of relevant experience and has also developed a Handwriting mimic app, which can be viewed on YouTube. Her Github profile showcases her expertise in machine learning and her contributions to various projects. Swechha's passion for machine learning and her expertise in various technologies make her a valuable asset to any organization. With her strong analytical skills, attention to detail, and ability to work collaboratively in a team, she can help organizations develop cutting-edge solutions for complex business problems.