Minhajul Hoque
About Minhajul Hoque
Minhajul Hoque is a Machine Learning Engineer currently employed at Snorkel AI, with a background in data science and software development across various companies. He has a strong educational foundation in Aeronautical and Astronautical Engineering and a passion for space and physics.
Current Role at Snorkel AI
Minhajul Hoque currently serves as a Machine Learning Engineer at Snorkel AI, a position he has held since 2023. His role involves leveraging machine learning techniques to enhance data processing and analysis capabilities. He focuses on developing innovative solutions that improve the efficiency and effectiveness of machine learning applications.
Previous Experience at Clarifai
Before joining Snorkel AI, Minhajul worked at Clarifai as a Data Scientist from 2022 to 2023. During his 11-month tenure, he contributed to projects that utilized advanced machine learning algorithms to enhance image and video recognition technologies.
Background in Machine Learning and Software Development
Minhajul has extensive experience in machine learning and software development. He worked at BrainBox AI in various capacities, including Machine Learning Developer and Algorithm Software Developer, from 2021 to 2022. His responsibilities included developing algorithms for HVAC systems and contributing to software quality assurance.
Education and Academic Background
Minhajul Hoque studied at Dawson College, where he achieved a Diploma of College Studies (DEC) in First Choice Pure and Applied Science. He furthered his education at Concordia University, earning a degree in Aeronautical and Astronautical Engineering. His academic background supports his expertise in machine learning and engineering.
Achievements in Machine Learning Projects
Minhajul has demonstrated his machine learning capabilities by helping to build a large language model (LLM) system for complex contract question answering tasks. This project achieved an accuracy of 89%, surpassing the baseline by 64 points, showcasing his skills in developing effective machine learning solutions.