About

Khushboo Gupta is a Software Development Engineer II at Amazon and a Deep Learning Researcher with a Master of Science degree in Computer Science from Syracuse University. With 3.86 years of relevant experience, Khushboo has a strong technical background and proficiency in programming languages such as Python, C++, Java, and Haskell. She is also well-versed in databases such as MySQL, MongoDB, and Postgres, and has experience with various tools and software packages such as MS Visio, MS Visual Studio, JIRA, Git, Bitbucket, Eclipse, Anaconda Distribution, Confluence, and Docker. Khushboo has a keen interest in internet design and has worked with HTML, CSS, JS, Django, RestAPI, and React JS. She is also proficient in machine learning and data science tools such as TensorFlow, Keras, Pytorch, NumPy, Jupyter Notebook, Pandas, Matplotlib, NLTK, SciPy, and Scikit-learn. Her experience as a Deep Learning Researcher includes working on projects such as energy consumption modeling, data augmentation using time-series datasets, and unsupervised learning methods for exploring molecular solubility. Prior to her current role at Amazon, Khushboo worked as a Software Engineer I at Pacific Northwest National Laboratory (PNNL). Here, she worked on multiple projects ranging from deep learning research to software development. Her major projects included designing and developing a data analytics prototype for the Superfund Research Project, modeling energy consumption and data augmentation for the Domain Aware Grid Analytics Project, and utilizing unsupervised learning methods for exploring molecular solubility under the Energy Storage Material Initiative. Khushboo has also worked as a Research Intern at Syracuse University College of Engineering and Computer Science, where she worked on a research project related to Neural Virtual Machine and program induction using reinforcement learning. Khushboo's tech stack includes AWS, Jupyter, Django, Docker, MySQL, Keras, Scikit, Random Forest, ML, Data Scientist, TensorFlow, Pandas, MongoDB, Postgres, Pytorch, RNN, Python, Web, Reinforcement Learning, and ReactJS. She is a skilled Software Engineer with a strong interest in deep learning and research.