# Ami Patel > Software Engineer at Apella Location: Santa Clara, California, United States Profile: https://flows.cv/amipatel As a Graduate Research Assistant at Carnegie Mellon University, I combined my passion for software engineering and machine learning by leading a machine learning project to evaluate usability of various web applications. Additionally, I assisted professors as a teaching assistant in delivering courses on AI Applications in Information Security and Introduction to Adversarial ML, while pursuing my Master of Science in Software Engineering from CMU Silicon Valley. Previously, I worked as a Software Engineer at Wayfair, where I led and contributed to several impactful projects using cutting-edge technologies. I worked as a Full-stack Software Engineer by designing and implementing services using Python, Java, Kotlin, Kubernetes, Docker, GraphQL, and ReactJS, contributing to an impressive 80% reduction in supervised staffing administrative burden. I also helped design and develop a fully independent staging environment for the new Labor Management System. I led several other projects concerning cost savings, latency reduction, testing accuracy, and error rate improvements. My core competencies include problem-solving, communication, data classification, and full-stack development. I stay updated with the latest industry advancements and incorporate innovative solutions for improved productivity and success. I am driven by curiosity and a desire to understand complex systems, which fuels my engineering career and thirst for life's adventures. ## Work Experience ### Senior Software Engineer @ Apella Jan 2024 – Present | United States Building innovative tools for better surgery. ### Graduate Teaching Assistant @ Carnegie Mellon University Jan 2024 – Jan 2024 | Silicon Valley, California, United States Teaching Assistant for AI Applications in Information Security (14795) and Introduction to Adversarial ML (14757). ### Graduate Research Assistant @ Carnegie Mellon University Jan 2023 – Jan 2024 | Silicon Valley, California, United States - Compiled user interaction and behavioral data by implementing a data collection system using Python, Ant Design (AntD), and ReactJS to instrument various web applications at scale. - Utilized the data to identify key user behavior patterns to evaluate usability of various web applications using ML. ### Software Engineer II @ Wayfair Jan 2021 – Jan 2022 | Boston, Massachusetts, United States - Pioneered an Indirect Workflow project that achieved 80% reduction in supervised staffing administrative burden by implementing workflows using Python, Java, Kotlin, Kubernetes, Docker, GraphQL, ReactJS, Android and CI/CD tools. - Spearheaded the Autonomous Guided Vehicles project for Returns with projected annual savings of $3.4M by implementing microservices and collaborating with cross-functional teams. - Enhanced Labor Management functionality by enabling 78% activity mappings from 20% by resolving critical issues and implementing architectural improvements. - Orchestrated the end-to-end development of a comprehensive staging environment for a Labor Management system to enable seamless stress testing with 85% accuracy during high throughput scenarios. - Facilitated the successful implementation of the Indirect Activity Stream, providing near-real-time data for a new labor management system (LMS), GoalPost, through utilization of the Outbox Pattern approach with the Brooklin Connector. - Conducted design reviews and implemented code quality metrics to identify and address defects through enhanced monitoring techniques using Kibana and Datadog. ### Software Engineer I @ Wayfair Jan 2020 – Jan 2021 | Boston, Massachusetts Worked as a backend software engineer by designing and implementing highly scalable products using Python, FastAPI, Docker and Kubernetes to help associates and supervisors in the warehouses make informed staffing decisions. ### Undergraduate Student Researcher @ Raytheon Technologies Jan 2019 – Jan 2019 | Plano, Texas, United States - Teamed with students at University of Texas at Dallas and mentors from Raytheon Technologies to build a classifier to classify any given vessel based on data we get from the AIS tracking datasets for different ships. - The classification helped understand the behavior and nature of certain vessels to prevent illegal activities like illegal fishing, drug smuggling or human trafficking overseas. - Statistical analysis, k-means clustering and time-series analysis with ARIMA models were employed using the AIS track dataset to build the important features for the classifiers. A Random Forest classifier was successfully built with 87% accuracy after studying different classifiers and their resulting confusion matrices. ### Software Engineering Intern @ Wayfair Jan 2019 – Jan 2019 | Boston, Massachusetts - Worked as a backend software engineer on refactoring third-party integration with a Yard Management System (C3 Reservations) to enable syncing data from Wayfair to C3. - Refactored an existing process in PHP and revamped the error handling logic by capturing bad data efficiently and enabling replaying of unprocessed transactions. ### Undergraduate Student Researcher @ Center for Advanced Study in Mathematics and Natural Sciences Jan 2017 – Jan 2017 | Collin College - Teamed with the professors at Collin College to analyze working of the fully-connected neural networks using supervised learning method to classify horizontality, verticality and diagonality of user-generated images. - Successfully implemented the State table in C++ to help users choose different activation functions for different hidden layers. Employed existing libraries such as Dlib for linear algebra computations, and Graphviz for plotting and monitoring the firing patterns for every epoch for the artificial neural network. ## Education ### Master of Science - MS in Software Engineering Carnegie Mellon University ### Bachelor of Science - BS in Computer Science The University of Texas at Dallas ### Associate of Science (A.S.) in Computer Science Collin College ## Contact & Social - LinkedIn: https://linkedin.com/in/patelami3431 --- Source: https://flows.cv/amipatel JSON Resume: https://flows.cv/amipatel/resume.json Last updated: 2026-04-01