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.

Software Engineer - Bits AI SRE

January 2026 - Present
New York, New York

Key Responsibilities:

  • Built and deployed AI agents to detect and remediate service degradations across distributed systems
  • Developed Go gRPC microservices on Kubernetes to power agent workflows, enabling automated querying of observability data and remediation of issues in customer infrastructure
  • Shipped end-to-end fullstack features across a React frontend, Go/gRPC backend services, and event-driven architecture with Kafka, now live in production for Datadog customers

Software Development Engineer Intern

May 2025 - August 2025
Seattle, Washington

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
New York, New York

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