Work Experience

Working Student and Master Thesis - Machine Learning Team

October 2021 - December 2022

Led the project to automate finding the positions of object corner points in an image using a deep learning-based segmentation network. Conducted a thorough literature review and set up data, training, and evaluation pipelines using PyTorch for fast prototyping.
Responsible for coordinating data annotation and model maintenance for a customer deployment. Achieved 95 percent precision on object detection models.
Developed a web app using Plotly, Dash, and Pandas for visualizing experimental data.

July 2021 - September 2021

Built data and training frameworks for studying the feasibility of deep learning-based solutions for pedestrian detection in videos.
Managed automated data annotation efforts of 5000+ images and set up data pipelines using SQL to retrieve data querying on object categories.
Performed exhaustive experiments with models such as the Tensorflow API on GPU cluster for multiple parallel model training. Additionally, designed metrics to balance the speed of inference and accuracy of the models.

November 2020 - March 2021

Responsibilities include holding office hours and supporting preparation of programming exercises.

July 2017 - August 2018

Standardized on-boarding of lateral hires as a functional six sigma project in Human Resources.
Managed relationships with axle and brake drum suppliers during high product demand time-frames.
Worked on reliability measurement of products using warranty claims and spare parts data.