Experience
My early career has been shaped by an insatiable curiosity about how complex systems work and how they can work better. What started as fascination with the intricate patterns of animal behavior in neuroscience research has evolved into a passion for optimizing the digital systems that power our modern world. Whether I’m analyzing neural pathways or cloud infrastructure, I’m driven by the same fundamental question: how can we understand these systems deeply enough to make them more efficient, more reliable, and more impactful? This through-line of research-minded thinking and systematic optimization continues to guide my work as I tackle new challenges and explore emerging technologies.
Amazon
Software Engineer Intern
May 2025 - August 2025
Key Responsibilities:
- Developed a cross-cloud Kubernetes system with Pulumi (Python) for AWS, GCP, and Azure, cutting deployment time by 75% and standardizing environments
- Built an end-to-end Kubernetes benchmarking tool, generating 12,000+ data points and analyzing performance trends with pandas and NumPy
- Delivered six service improvement recommendations in an 18-page report to AWS EKS/ECR principal engineers, influencing product enhancements
AI4ALL Ignite Accelerator
Machine Learning Fellow
May 2025 - August 2025
Key Responsibilities:
- Led the development of a machine learning-based ESG investing assistant with a full-stack dashboard using FastAPI, Supabase, React, and the Gemini API for AI insights, along with yfinance for real-time stock data
- Developed data pipelines and modeling strategies to ensure investment recommendations aligned with ESG principles, incorporating fairness and explainability into the system design.
Preuss Lab, Hunter College
Computational Research Assistant
June 2022 - June 2024
Key Responsibilities:
- Conducted experiments with idtracker.ai, a Python-based AI model, using TensorFlow and OpenCV to analyze the collective behavior of 10 zebrafish
- Processed and analyzed data with Jupyter Notebook, NumPy, Matplotlib, and trajectorytools, identifying behavior patterns