My Name 1 Imaginary Land, Imagination XX 12345 • (XXX) XXX-XXXX • [email protected] www.linkedin.com/in/myname/ • www.github.com/myname/ • U.S. Permanent Resident EXPERIENCE Startup Company Location 1 Machine Learning Engineer September 2018 - Present ● Developed the first production deep learning model that extracted over 60 million patient characteristics using Pytorch and Python, helping customers filter over 10 million abstracts ● Processed abstracts up to 250x faster by optimizing ML production pipelines using distributed AWS instances ● Updated and maintained the company's central ML workflow using AWS, Docker, Pytorch Lightning, and AllenNLP, helping team members iteratively develop a variety of ML products ● Designed the data structure and annotation standard used to turn unstructured text into clean, user-friendly tables ● Took the initiative to build the company's first in-house annotation tool using Python, Javascript, Node.js, and Flask ● Created automated tools to monitor annotation quality, which increased by at least 50% ● Managed a team of 7-10 freelance annotators and interns ● Contributed to three published research papers College Location 2 Remote Laboratory and Research Support June 2018 - August 2018 ● Created a low-cost vision system that detects gas caps with an accuracy over 90% ● Implemented an original algorithm using neural networks and image processing to extract the gas cap's geometric features, eliminating the cost of an additional camera College Location 3 Research Assistant May 2016 - May 2018 ● Designed a swarm intelligent algorithm in Java that reduced parking search times by 50% for Ford smart car drivers ● Created an efficient workflow that can quickly evaluate the algorithm's performance in a variety of traffic conditions Research Company Location 4 Mechanical and Mechatronics Systems Laboratory Research Intern May 2017 - August 2017 ● Implemented a machine vision algorithm that classifies surfaces by roughness using decision trees in scikit-learn and neural networks in Keras and Tensorflow ● Created an graphical user-friendly interface in C# that clients can use to classify surfaces in real time ● Sped up training data collection by over 20x using a K-means clustering algorithm in MATLAB SKILLS Programming: Python, Javascript, C/C++, Bash (Linux Shell Scripting) Frameworks/Packages: NumPy, Pandas, scikit-learn, Pytorch, Pytorch Lightning, Amazon Web Services (AWS), MySQL, Spark, Docker, MATLAB, Tensorflow, Node.js, Flask, Git, Jupyter, Weights and Biases EDUCATION College Location Master of Science in Mechanical Engineering January 2016 - May 2018 ● GPA: 4.00/4.00 ● Major Area: Control Systems & Mechatronics ● Minor Area: Computational Science & Engineering Bachelor of Science in Nuclear and Radiological Engineering August 2013 - May 2017 ● GPA: 3.85/4.00
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