Resume

EDUCATION

Massachusetts Institute of Technology Cambridge, MA

Bachelor of Science in Artificial Intelligence and Decision Making (6-4), GPA: 3.5 Sept 2021-May 2025

• Coursework: Algorithms and Hardness Proofs, Natural Language Processing, Deep Learning, Linear Algebra, Optimization, Probability

• Organizations: Black Student Union (Treasurer), Rune(Publication Lead + Treasurer)

RELEVANT EXPERIENCE

Modelle Cambridge, MA

Diffusion Model Researcher Jan 2024 -  Feb 2024

• Conducting literature review over SOTA diffusion and generative modeling architectures.

• Proposing novel Stable-Diffusion offshoot generative diffusion model architecture.

• Unifying research conducted for TryOnDiffusion and Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

EQORE Cambridge, MA

Machine Learning and Controls Engineer Oct 2023 -  Jan 2024

• Developed a predictive model forecasting energy trends for commercial buildings

• Developed control loop using modeled data to set grid load and modeled data to reduce energy costs and usage for energy companies

Microsoft Cambridge, MA

Applied Scientist Intern Jan 2024 - Feb 2024

• Evaluated AI safety implementations with dataset acquiral and testing and synthesized high-dimensional data through data-centric AI

Amazon Web Services (AWS) Seattle, WA

Software Development Engineer Intern Jun 2023 - Aug 2023

• 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

Amazon Devices Seattle, WA

Software Development Engineer in Test Intern Jun 2022 - Aug 2022

• Built a custom code review analyzer for the Fire Tablet team’s development workflow using Java and Groovy

• Ran automated build tests on android tablet device farm through Amazon Web Services testing pipeline

• Collected and analyzed coldstart metrics on all lab devices and reported data to dashboard to see updated activation analytics

RESEARCH

MIT Social and Ethical Responsibilities of Computing (SERC) - Dr. Kevin Mills Cambridge, MA

Researcher and Scholar Sep 2023 - Jan 2024

• Exploring the causes of, and potential solutions to, the spread of misinformation online (evaccine and election misinformation; QANON)

• Developing attention-based natural language processing model analyzing archive data, social media feeds, and government documents

• Performing data engineering while preprocessing, tokenizing, and formatting quality data for model training efficacy

MIT Computer Science & Artificial Intelligence Lab (CSAIL) - Kellis Lab Cambridge, MA

Undergraduate Researcher Jun 2023 - Aug 2023

• 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

MIT Media Lab - Fluid Interfaces Cambridge, MA

Undergraduate Researcher Jan 2023 - May 2023

• Curated interactive display on a custom Apache video server as an installation at an international art festival

• Designed cross-platform hardware interface functionality for 3D space flight simulator Space Dock

• Curated landing page for Augmenting Brains MIT Museum exhibit in Typescript, Next.js

MIT Laboratory for Information and Decision Systems (LIDS) Cambridge, MA

Undergraduate Researcher Jun 2022 - Jan 2023

• Classified misinformation, political inclination, and sentiment with n-grams using Tensorflow across social media and news

• Ran the Natural Language Toolkit (NLTK) to perform natural language processing and generate n-gram frequency data in text

• Gathered data by provisioning the Twitter API, accessing feeds of political figures using a Support Vector Machine classification model

MIT Anthropology - Dr. M. Amah Edoh Cambridge, MA

Textile Design and Machine Learning Researcher Jan 2022 - May 2022

• Programmed script that generates textile designs using data from web questionnaire into Generative Adversarial Network (GAN)

• Ran model on an AWS node and delivered images using MongoDB to connect each cloth generated to the users accounts

• Created digital archive of Togolese Designs, with analysis by a mix of Optical Character Recognition and Computer Vision algorithms

SKILLS & AWARDS

Python, NLTK, Tensorflow, Pytorch, Algorithm Design, Java, JavaScript, React, C#, Github, Unity3D, OpenCV, Blender

Jack Kent Cooke Scholar, Jane Street First-Year Trading and Technology Program, Google CSSI, Amazon Future Engineer Ambassador