Michael Morrissey Email and Phone Number

Alexa data privacy, artifact storage, and machine learning builder tools

• Trained a reinforcement learning agent using a Deep Q-Network with Gym and Stable-Baselines3 to make intelligent decisions in warehouses• Developed an object-oriented warehouse simulation in Python capable of processing 100k+ orders in a warehouse with 20k+ storage locations.• Managed large relational databases using SQL and SQLite3 and cleansed data• Created a REST API with Node.js and Express.js to send POST Requests containing preemptive scheduling rules and display a schedule on a React.js front-end• Tested code and pushed 50+ commits to a repository in an engineering team• Visualized data using Pandas, Seaborn and Matplotlib• Wrote 12 algorithms for an event-discrete simulation and optimized it by designing system structure and selecting optimal data structures• Developed a program in Java to model AGVs movement in a warehouse• Executed multi-threaded experiments on a Linux server• Used supervised learning to train a logistic regression model with Scikit-learn in Python to select storage strategies at each time step of a warehouse simulation• Created a predictive regression model in Python that used order keywords as features to predict the order batch size using word vectors with Gensim• Mentored and managed other master’s students

• Performed surface characterization of living epithelial cell layers using custom-built in situ micro-indenter• Developed 3D biofabrication apparatus for printing cell constructs and enabling live cell imaging up to 60 days• Investigated corn seed root growth through digital image correlation and analyzed root-generated stresses• Designed a method to locate a feature for a 3D print area accurate to 10 micrometers

• Led an activity to improve bumper installation concerns by designing countermeasure shape change for implementation on all prototype vehicles• Developed a check sheet for critical body design parts using gap and seal tolerances to evaluate noise and vibration levels in prototype vehicles• Ensured installation of black out tape parts were installed correctly on prototype and mass production vehicles by communicating with assembly team and updating instructions• Collaborated with other departments to design and implement countermeasures to eliminate the risk of cabin water intrusion through the door panel • Developed a countermeasure to reduce external odor by investigating the feasibility of manufacturing attachment points in the side panel outer to allow installation of a new clip

• Created a material and information flow chart of ZR engines to identify current and ideal condition • Designed 22 flow racks to decrease pallet count and save floor space• Established and maintained a schedule to track progress for various projects• Forged a bridge of communication between assembly and conveyance groups• Led a kaizen group to build and install flow racks to meet deadlines

• Strengthened interpersonal skills by tutoring students 4 times per week through teaching concepts, helping with homework, and developing study strategies• Led group tutoring sessions of up to 15 students before all four exams each semester by working through each practice exam problem including topics such as three-dimensional vectors, planes, and integrals