About

Sudhamsh Kukkadapu is a highly motivated Software Engineer currently working at a high frequency trading firm. With a passion for Mathematics, Machine Learning, Data Science, Computer Vision, Natural Language Processing, and Programming, Sudhamsh is a well-rounded professional with a diverse skill set. Sudhamsh has gained extensive experience in the field of Data Science, having previously worked as a Data Scientist at ConcertAI. During his time there, he worked on benchmarking healthcare APIs that can be used for NER, Assertion and Negation detection, and relationship extraction. He also implemented ML and DL models for temporal relationship extraction in clinical texts using contextual embeddings from BERT on i2b2 temporal relationship extraction dataset. He created an ensemble model using a rule-based approach, Natural Language Inference model, and BERT-based classifier to improve the overall model performance. As a Machine Learning Intern at Emproto Technologies, Sudhamsh worked on generating realistic images of fashion datasets using Generative Adversarial Networks (GANs) on a virtual machine having Nvidia Tesla V100 GPU. He implemented a model that is used for generating realistic images and can further be used for mixing the styles of images that are generated to create a new realistic image as output based on the weights input. Sudhamsh holds a Dual Degree (BTech+MTech) in Mechanical Engineering from IIT and has completed his Intermediate from Sri Chaitanya Junior College. He also holds an SSC from Students Careers. Sudhamsh is proficient in Software Engineering, BERT, ML, Data Science, Computer Vision, NLP, Research Scientist, Deep Learning, Adversarial Networks, and Designer. With 0.77 years of relevant experience, Sudhamsh has demonstrated his ability to work efficiently and effectively in a fast-paced environment.