About

Humair Raj Khan is a highly skilled ML Engineer with a passion for solving complex problems using Machine Learning. With a relevant experience of 4.20 years, Humair has a strong academic background from the Indian Institute of Technology, Roorkee. He is currently working as a Research Intern at the Indian Institute of Science (IISC) in the video analytics lab. Humair is proficient in a wide range of technologies, including ML, AWS, Search, Research Scientist, Sagemaker, Data Engineering, language models, LLM, Elastic Search, SQL, Data Scientist, AI, Recommendation system, Web, Keras, Computer Vision, Scikit, test, Java, Tensorflow, MongoDB, Pytorch, and Backend. He has worked on numerous projects that demonstrate his expertise in these technologies. In his current role, Humair has implemented a metric in tensorflow and trained an unsupervised Siamese architecture with it to enhance the dynamic range of a scene by the fusion of multiple exposure images with moving objects. He has also worked as a Research Intern at the Indian Institute of Technology, Patna, where he designed resource-constrained domain adaptation for generating language-agnostic vision+language embeddings. His work was published in EMNLP Findings'21. Prior to his current role, Humair worked as a Data Science Associate at ZS Associates, where he built a web app to summarize an uploaded video on multiple aspects, developed a modified Convolution layer working on an incrementally trained word space embedding to identify the driving motif for an event in a patient's event history, and built a hierarchical model for territory-level sales forecasting and sales driver analysis, among other projects. Humair's expertise in Machine Learning, combined with his strong research skills, make him an asset to any team. He has a keen interest in doing research and is always looking for new challenges to solve using his skills.