May 2023 – Aug 2023 · 3 mos · Madrid, Community of Madrid, Spain

• Developed and evaluated machine learning pipelines for imputing missing time-series data in eye blink signals using PyTorch, PyPOTS, and time-series imputation techniques
• Applied spectrogram-based imputation methods, boosting signal completeness and enabling more reliable Parkinson’s detection from eye-blink data

Jan 2022 – Jan 2023 · 1 yr

• Research at MIT Sloan School of Management with Prof. John J. Horton developing homo silicus, a Python-based simulation library to model human-like behavior in economic experiments using AI agents
• Benchmarked AI agent behavior against 3+ classical econ experiments, demonstrating alignment with human decision patterns

Jun 2021 – Aug 2021 · 2 mos · Redmond, Washington, United States

• Augmentation Loop

May 2020 – Aug 2020 · 3 mos · Mountain View, California, United States

• Engineered event ingestion pipeline to stream GitHub org events into Kafka in real time
• Used GitHub Apps to post event data to REST API endpoint, authenticated and pushed payloads to appropriate Kafka topics using Python

Jan 2020 – Aug 2020 · 7 mos · Cambridge, MA

• Desimone Lab
• Developed Python tools to analyze macaque monkey neuronal activity patterns, enabling classification of working memory neurons using spike train visualization
• Ran ROC analyses to identify neural activity in MT/MST/LIP regions driving attention tasks

Dec 2019 – Jan 2020 · 1 mo · San Jose, CA

• Fine-tuned recurrent neural networks (RNNs) on domain-specific corpora to generate synthetic text data using Tensorflow

Jun 2019 – Aug 2019 · 2 mos · Pasadena, CA

• Developed image similarity tool using Python, OpenCV, and TensorFlow; deployed at JPL for use by 6,000+ employees
• Integrated Elasticsearch-backed image search engine with React.js frontend, enabling fast retrieval from scraped image datasets