Bikram Baruah has a strong technical background in research engineering and machine learning. Their most recent position was as a Research Engineer at Opteran starting in 2022. Prior to that, they worked at AMRC starting in 2019, where they held multiple roles. As a Technical Lead - AI, Bikram researched and developed multi-class classifiers to identify defects in turbine blades and created image processing routines for defect classification on composite samples. Bikram also worked as a Software Developer, training object detection models and developing a classifier for detecting defective carbon composites. Before joining AMRC, Bikram was an Intern Machine Learning Developer at AMRC in 2018, where they designed a time-series segmentation algorithm and built a machine learning classifier for anomaly detection. Additionally, they were a Summer Research Intern at The University of Sheffield in 2018, where they built a machine learning model to predict drug response with high accuracy. Overall, Bikram has a solid track record of applying machine learning techniques to solve complex problems.
Bikram Baruah completed their Bachelor of Engineering (B.Eng.) degree in Electronic and Communications Engineering from The University of Sheffield, from 2016 to 2019. Prior to that, they attended Don Bosco High School from 2004 to 2015, but no specific degree or field of study information is provided for this period.
Bikram Baruah has also obtained several certifications. Bikram completed "Introduction to Machine Learning in Production" from Coursera in May 2022, "AI for Medical Diagnosis" in October 2021, "Sequences, Time Series and Prediction" in September 2020, "Convolutional Neural Networks" in February 2018, "Structuring Machine Learning Projects" in November 2017, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" in October 2017, "Neural Networks and Deep Learning" in October 2017, and "Divide and Conquer, Sorting and Searching, and Randomized Algorithms" in August 2017. The institutions where these certifications were obtained are all from Coursera.
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