Machine Learning Engineer and research computing specialist with experience in deep learning, computer vision, robotics, and machine learning systems. Has worked across university and industry settings on ML/DL models, L…
Machine Learning Engineer and research computing specialist with experience in deep learning, computer vision, robotics, and machine learning systems. Has worked across university and industry settings on ML/DL models, Linux-based compute clusters, and research projects involving PyTorch, TensorFlow, Keras, AWS, and Python.
In resume.
Supported University Staff, Faculty and Students
Resolved 200+ support tickets
Worked on internal BU projects
Created core ML expertise in the Company
Coached Junior co-workers
Started an ML Club
Built ML/DL regression models for risk analysis
Improved existing non-ML models
Worked primarily as a consultant to a team of researchers
Improved communication among the team
Researched, designed, and implemented a Computer Vision library design
Trained CNNs using AWS Cloud
Provided Hardware purchase recommendation
Improved the company’s Intellectual Property
Worked on designing autonomous open-ended learning robotic systems
Designed neural network architectures and optimization algorithms
Developed alternatives to Stochastic Gradient Descent (SGD)
Built debugging visualization tools
Contributed a Neuroevolution library
Engineered a microstrip filter for GSM cellular communications
Contributed to teaching.
Contributed to curriculum design.
Provided administrative support.
Performed grading.
Maintained computers.
Supported 8 graduate and undergraduate courses.
Led an interdisciplinary team of researchers.
Turned the team from stagnation to productivity.
Developed a pipeline to parse political news articles and extract factual information using Python and open-source NLP tools on Linux.
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