Chris Tran

Chris Tran is a Machine Learning Engineer with a passion for building and deploying custom Machine Learning, Deep Learning, and NLP solutions for clients across various industries.

He holds a STEM master's degree from the University of Rochester, specializing in Statistics and Machine Learning, complemented by a strong quantitative foundation from advanced statistics courses.

With over 2 years of experience in manipulating and analyzing data using Python, R, and SQL, Chris has worked on projects encompassing Document Classification, Information Extraction, Named Entity Recognition, and Summarization.

His expertise extends to Computer Vision tasks such as Visual Recognition, Object Detection using tools like Detectron2 and DETR, and Semantic Segmentation with U-Net.

Chris is proficient in a range of tools including PyTorch, NumPy, Pandas, and Scikit-learn, and excels in data visualization using Tableau, Matplotlib, and Seaborn.

Having led and collaborated on 10+ research and industry projects, Chris has showcased his skills by applying cutting-edge Deep Learning models to real-world problems in healthcare, law, manufacturing, and media sectors.

Beyond his technical acumen, Chris finds solace in photography, swimming, and running, having completed several half- and full-marathons, fostering mindfulness and happiness in his life.