# Daniel Papacica > SWE @ Genius Sports Location: New York, New York, United States Profile: https://flows.cv/danielpapacica ## Work Experience ### Software Engineer @ Genius Sports Jan 2024 – Present | United States Delivering machine learning and data solutions to basketball leagues globally through software engineering and AI expertise. ### Entrepreneurship @ MIT Sandbox Innovation Fund Program Jan 2023 – Jan 2024 | Cambridge, Massachusetts, United States Received support from MIT Sandbox to make buildings more energy efficient in the hospitality industry. Successfully installed pilot system in MIT (FSILG) residential building to capture data for creation of MVP. ### Graduate Student Researcher @ MIT Center for Collective Intelligence Jan 2023 – Jan 2024 | Cambridge, Massachusetts, United States Enhancing MIT Center for Collective Intelligence's (CCI) Supermind Ideator by utilizing continuous analytics of user data to develop better organizations, processes and products that help form Superminds. Ideator encourages the formation of Superminds by utilizing LLMs during the ideation process. MEng Thesis Focus: Develop a Machine Learning-driven recommendation system to help users in the ideation process, tailored to their specific topic, where they are in the creative process, and various other factors. ### Research Assistant @ Massachusetts Institute of Technology Jan 2023 – Jan 2024 | Cambridge, Massachusetts, United States Assisted a cross-departmental team which is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT’s buildings. Improved the machine learning strategy by conducting a detailed statistical analysis of temperature fluctuation and HVAC usage in MIT buildings. This analysis led to the development of complex graphical representations to be used for the team's ML system, illustrating the dynamic temperature interactions between rooms. ### Student Research Assistant @ MIT Media Lab Jan 2023 – Jan 2023 | Cambridge, Massachusetts, United States Improved ALS patient-ML model training efficiency by writing scripts to create functional datasets from EEG readings obtained from Brain Computer Interfaces (BCIs); the goal of the ML models was to classify when patients had a certain kind of brain activity which indicated they needed help from their care provider. ### Software Development Engineer @ Amazon Jan 2022 – Jan 2022 | Seattle, Washington, United States Extended Dafny, a verification-aware programming language, that compiles to other programming languages, such as Java and C#. Introduced a new feature in Dafny to allow users to seamlessly generate both unit tests and fuzzed tests on large scale by altering the Dafny compiler AST and data pipeline. ### Student Research Assistant @ Massachusetts Institute of Technology Jan 2022 – Jan 2022 | Cambridge, Massachusetts, United States Enhanced in-game analytics by utilizing machine learning models that identify patterns when players shoot vs. pass a soccer ball. Gathered and prepared hundreds of thousands of data points from soccer matches, provided by FIFA to the MIT Sports Lab, to create datasets for training AI models. ### Software Development Engineer @ Amazon Jan 2021 – Jan 2021 | Greater Seattle Area Designed an interface for universal content provider video playback in Alexa via standard URLs. Integrated various Amazon services within the Alexa Video Multi-Modal (AVMM) ecosystem. Authored design documents outlining the production implementation steps for a future release and created an MVP. ### Student Research Assistant @ Massachusetts Institute of Technology Jan 2020 – Jan 2021 Researched "collective intelligence under task-dependent framework." Built a multiplayer game using a JavaScript framework (empirica.ly) to analyze optimal human network structures for estimations, utilizing React, MongoDB, and Meteor Galaxy. Applied graph theory knowledge to construct centralized and decentralized networks connecting thousands of users on the website. ### Intern @ 60Seconds? Jan 2020 – Jan 2020 Designed wireframes, flow charts, specifications, and entity relationship diagrams that were used for implementing a “shoutout” feature for an application to be a replacement and enhancement to TikTok for India. ## Education ### Master of Engineering - MEng in Computer Science and Engineering (Concentration in AI) Massachusetts Institute of Technology ### Bachelor of Science - BS in Computer Science and Engineering Massachusetts Institute of Technology ### High School Diploma California Carmel High School ## Contact & Social - LinkedIn: https://linkedin.com/in/danielpapacica --- Source: https://flows.cv/danielpapacica JSON Resume: https://flows.cv/danielpapacica/resume.json Last updated: 2026-03-29