# Yeabsira Moges > Incoming SDE @ Capital One | MIT Creative Writing and Computer Science Location: Cambridge, Massachusetts, United States Profile: https://flows.cv/yeabsira Hello! My name is Yeabsira. I am a Senior at MIT studying 21E: Computer Science and Creative Writing. I am an undergraduate researcher, applied scientist, and software engineer interested in Applied Ethical ML. ## Work Experience ### Software Engineer @ Capital One Jan 2024 – Jan 2024 | Virginia, United States - Developed ETL pipeline processing and aggregating target data over a set period of time - Visualized data from pipeline with Vega and aggregation with Apache Spark ### Machine Learning Engineer @ Modelle AI Jan 2024 – Jan 2024 | Cambridge, Massachusetts, United States Conducting literature review over SOTA diffusion and generative modeling architectures. - Proposing novel Stable-Diffusion offshoot generative diffusion model architecture. - Unifying research conducted for TryOnDiffusion, Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation (DreamBooth), and Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models (GLIDE) ### Applied Scientist @ Microsoft Jan 2024 – Jan 2024 | Cambridge, Massachusetts, United States - Evaluating AI safety implementations with dataset acquiral and testing. - Synthesizing high-dimensional data through data-centric AI - Generating text embeddings for T-Distributed Stochastic neighbor Embedding ### Data Science and Controls Engineer Intern @ EQORE Jan 2023 – Jan 2024 | Cambridge, Massachusetts, United States - Developing a predictive model forecasting energy trends for commercial buildings - Developing control loop using modeled data to set grid loads - Using modeled data to reduce energy costs and usage for energy companies ### Undergraduate Researcher @ MIT Social and Ethical Responsibilities of Computing Jan 2023 – Jan 2024 | Cambridge, Massachusetts, United States - Exploring the causes of, and potential solutions to, the spread of misinformation online (e.g. vaccine and election misinformation; QANON) ### Software Development Engineer Intern @ Amazon Web Services (AWS) Jan 2023 – Jan 2023 | Seattle, Washington, United States ● Developed permission tag set correctness analyzer for the Kinesis Data Streams team using AWS resource tagging API ● Built automated daily Anti-Entropy DynamoDB Tag-Based Access Control syncing using worker scripts in Lambda CDK ● Deployed production worker scripts to run validation checks and efficiently export formatted data to destination bucket ### Undergraduate Researcher @ MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Jan 2023 – Jan 2023 | Cambridge, MA ● Ran natural language processing (NLP) transformers to analyze Automatic Speech Recognition text for sentiment analysis ● Took videos of zoom meetings for speaker diarization and to extract emotion from the presented facial features ● Ran hierarchical clustering algorithms for latent space embedding and dimensionality reduction of analyzed videos ### Undergraduate Research Assistant @ MIT Media Lab Jan 2023 – Jan 2023 | Cambridge, Massachusetts, United States - Curating interactive display on a custom Apache video server as an installation at an international art festival - Programming cross-platform hardware interface functionality for 3D space flight simulator Space Dock - Curating landing page for Augmenting Brains MIT Museum exhibit in Typescript, NextJS ### Research Assistant @ Laboratory for Information and Decision Systems Jan 2022 – Jan 2023 | Cambridge, Massachusetts, United States Roughly 15-20% of the US population gets their news from social media, with most other Americans getting their news from TV, news websites, or traditional print sources. In this project, we want to understand how viral content (of all kinds) on social media might spread beyond online platforms. In particular, we will examine “phrases” that appear on social media, often those associated misinformation (e.g., “Let’s Go Brandon”), and investigate where they originated and to what extent they infiltrate broader sources of news. For this we will consider common n-grams and categorize them according to their importance and likelihood to be associated with misinformation. Working with with Google Books, Google n-grams, TextBlob, Twitter StoryWrangler, and/or the Google FactCheck Tool, as well as several TBs of data and public API's. ● Classifying N-Grams popular across social media and new sites as either informative, misinformation or neutral ● Running natural language processing techniques to generate NGram frequency data and sentiment analysis ● Applying text classification model with Google FactCheck API and objectivity of news sources NGrams stem from ### Software Development Engineer In Test @ Amazon Jan 2022 – Jan 2022 | Seattle, Washington, United States ● Building a custom code review analyzer for the Fire Tablet team’s development workflow ● Running tests on Android Tablet farm through AWS and testing pipelines ● Making API calls to Amazon’s test automation execution system to get device connection URLs ### Student Worker in Anthropology Department @ Textile Design and Machine Learning Jan 2022 – Jan 2022 ● Wrote a script that generates all images by running our questionnaire through our model ● Ran model on an AWS node and delivered images to users ● Used MongoDB to connect each cloth generated to the corresponding ### Research Assistant @ MIT Global Diversity Lab Jan 2022 – Jan 2022 | Cambridge, Massachusetts, United States ● Designing and Researching Interventions to Build Solidarity and Tolerance Across Racial/Ethnic Groups Worldwide ● Created marketing material exploring the realms of criminal justice, disability, and houselessness ● Wrote web scrapers to gather research data from twitter ● Scraped tweets and ran them through sentiment analyzer to determine stakeholder interest ### Research Assistant @ MIT Digital Humanities Lab Jan 2022 – Jan 2022 | Cambridge, Massachusetts, United States ● Created a Digital Archive of Nigerian Technology ● Worked on Omeka.net platform to host and display archive ● Work with old newspapers, advertisements, and photos and relational metadata ### FTTP Fellow @ Jane Street Jan 2022 – Jan 2022 | New York City Metropolitan Area Over the course of two days, a select group of first-year undergraduates will learn more about Jane Street’s innovative trading and technology models through a series of classes and a team-based mock trading simulation game. ### Teaching Assistant @ Passion 4 Learning Jan 2021 – Jan 2021 | Silver Spring, Maryland, United States ● Taught 12-13 middle school students how to program with Arduino and Scratch ● Debugged programming and wiring issues with students in breakout rooms ● Contributed fun facts about programming to increase interest and develop further insight ### Event Organizer @ MoCoHacks Jan 2019 – Jan 2021 | Silver Spring, Maryland, United States ● Organized county-wide hackathon with over 450+ attendees and 15k+ operational budget ● Organized and ran workshops throughout the event bringing in professionals from the local area to run lessons ● Created marketing material and generated funding by reaching out to local businesses and company partners ## Education ### Bachelor's degree in Artificial Intelligence and Decision Making Massachusetts Institute of Technology ### MIT Online Science in Technology, and Engineering Community (MOSTEC) MIT School of Engineering ### Summer Journalism Program Scholar Princeton University ### Scholar Collegiate Directions ### High School Diploma in Engineering Wheaton High School ## Contact & Social - LinkedIn: https://linkedin.com/in/yeabsira-moges - Portfolio: https://yeab.art --- Source: https://flows.cv/yeabsira JSON Resume: https://flows.cv/yeabsira/resume.json Last updated: 2026-03-28