Education
Wellesley College
Wellesley, MAB.A. in Psychology
Sep. 2020 – May 2024- Relevant Courses: Data Structures, Computer Programming & Problem Solving, Stats, Java OOP
Massachusetts Institute of Technology (MIT)
Cambridge, MACross-registered in Computer Science, Machine Learning, Data Science
Sep. 2022 – May 2024- Relevant Courses: Intro CS, Programming Fundamentals, Deep Learning, WebLab, Machine Learning, Software Systems for Data Science, Web Design
Experience
AI Engineer, Jefferies Group LLC (via Widenet AI)
New York Metro
Feb. 2025 — Present
- Partnered with Jefferies' CTO and engineering team to design and develop a document extraction system, reducing manual processing time and improving data accuracy.
- Conducted tests to evaluate optimal approach for data input, comparing OCR, direct file input to model, or both.
- Built UI and backend components using TypeScript and React, delivering seamless UX.
- Diagnosed system issues, optimized performance, and automated document processing & data validation.
Data Scientist, Fusion Alpha AI
New York, NY
July 2024 — Dec. 2024
- Developed and optimized LSTM models to enhance ticker(stock) buy/sell signals, improving accuracy by 5%.
- Created and upkept data pipelines using AWS, MongoDB, and S3 to source, process, and store data.
- Automated data collection from various APIs and performed feature extraction for thematic analysis, informing targeted outreach strategies and improving CRM automation.
- Used MongoDB database for storing historical data and conducting analytics on large datasets.
- Developed and improved React-based system to automate email management using Gmail APIs, boosting operational efficiency by 30%.
Machine Learning Engineer Intern, Biointerphase
Remote
Sep. 2023 — Dec. 2023
- Built random forest & NLP to predict bat population decline(97% accuracy) using timestamp & geolocation data.
Fellowship, Breakthrough Tech AI @ MIT
Cambridge, MA
June 2023 — April 2024
- Received hands-on training in machine learning algorithms; earned ML Foundations certification.
Projects
Low-cost Ensemble Training Framework
In Progress- Developed a low-cost ensemble framework for CIFAR-10, using pruning, BatchEnsemble, and distillation to reduce training time and memory usage.
Sentiment Analysis on Cryptocurrency Patterns
Feb. 2024 – May 2024- Developed LSTM & GRU models for Bitcoin price prediction using tweet sentiment & historical data.
- Used Alpaca API & NLTK for data extraction and sentiment analysis, boosting prediction accuracy.
- Architected data pipelines to automate real-time data collection and preprocessing.
New York Botanical Gardens Image Classification
Jan. 2024 – April 2024- Developed a ResNet101V2-based model to classify 120,000+ plant and animal specimen images across 10 categories with 97% accuracy.
- Optimized the data pipeline for preprocessing images using TensorFlow and Numpy, reducing training time by 25%.
HealthAssess: Web-based AI Health Tool
Feb. 2024- Flask health assessment tool using live heart rate data, integrating GPT-4 API for real-time analysis & prediction.
Skills
- Programming Languages: Python, SQL, Java, HTML/CSS, R
- Tools: MongoDB, Pandas, TensorFlow, Numpy, Flask, AWS S3, FastAPI
- Data Science Skills: Data Pipeline Development, Feature Engineering, Data Warehousing, AI Use Cases, Reporting Practices, Time Series Analysis, Excel, API integration
Leadership & Awards
- Camellia Student Leadership Award, awarded by Wellesley College (May 2023)
- Wellesley College Honor Code Council Deputy Chief Justice (Sep. 2022 – May 2023)
- OTHER: MIT SHPE, Wellesley Engineering Society, Wellesley CS Club