About

Sumedh Khodke is a driven and ambitious Data Science graduate student at University at Buffalo, set to graduate in December 2022. With a total work experience of 2.5 years in machine learning software engineering, Sumedh has gained valuable experience in the field and is now actively seeking Summer 2022 internships in Data Science and Machine Learning. Sumedh is passionate about exploring and contributing to the intersection of Software Engineering and Machine Learning. He possesses a diverse technical skill set, including proficiency in languages such as Python, C++, Java/J2EE, C, and Golang, as well as libraries and frameworks such as Pandas, Modin, RAPIDS, NumPy, SciPy, Sk-learn, Keras, PyTorch, TensorFlow 1.x, Flair, Fastai 2, NLTK, Spacy, PyTorch Lightning, Celery, Onnx, OpenVINO, and Jupyter notebooks. In addition, Sumedh has experience in data visualization tools like Tableau, PowerBI, d3.js, seaborn, and matplotlib, as well as version control tools like Git, SVN, and Bitbucket, and CI/CD tools such as GitlabCI, Jenkins, CircleCI, GitHub Actions, and Docker. He is also well-versed in databases like SQL, MySQL, PostgreSQL, Oracle, Redis, and MongoDB, and has knowledge of AWS services. Sumedh's past work experience includes working as a Machine Learning R&D Engineer at Walnut App and as a Software Engineer in Machine Learning at Rubiscape. He is currently a Graduate Student at University at Buffalo, pursuing a Master's in Data Science with a focus on Machine Learning. Sumedh's diverse technical skill set, combined with his passion for exploring and contributing to the intersection of Software Engineering and Machine Learning, make him an ideal candidate for any Data Science or Machine Learning internship.