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Software Engineer
Georgia Institute of Technology•  January 2023 - Present
• Leading ongoing project on real-time traffic sign detection on Smartphones using Tensorflow Lite, CoreML and ONNX. • Enhanced a Deep learning pipeline for traffic sign detection, classification, tracking, and localization, resulting in a 5% increase in overall accuracy, using data augmentation, and hyper-parameter tuning. • Modularized a Sign detection pipeline, containerized it with Docker, led full-stack app development (front-end/back-end) with API integration allowing users to easily access and utilize the pipeline. • Led 8 undergraduate students in research projects related to Deep learning and Computer vision for Road Safety. • Contributed to a Georgia Department of Transportation project for automated curve signs inventorying, helping in improved road safety in the state of Georgia.
Education
Georgia Institute of Technology, Atlanta
Computer Science, MS•  January 2022 - Present
Master's Thesis, Machine Learning Specialization (GPA 3.83/4.0)
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