Tech Stack

Here is some tech that I've used to build AI-driven products:

• Languages: Python, Go, SQL, JavaScript/TypeScript, MATLAB, C, C++, R


• Frameworks & Platforms: PyTorch, React, Vertex AI, Vision AI, Supabase, Google Cloud (BigQuery, Cloud Composer, Cloud Tasks, Pub/Sub, Cloud Storage)


• Tools: Git/GitHub, GitHub Actions, Jupyter, Jira, Cursor, GitHub Copilot, Microsoft Office, LaTeX


• Platform: Kubernetes, Docker, Terraform

HappyDoc

Previously worked as a Junior Data Engineer (July 2024 - August 2025) and an Applied Science Intern (March 2024 - July 2024) at HappyDoc. Key contributions include:

• Technical lead for an AI-powered system transforming audio into a dashboard of actionable insights for veterinary professionals
• Designed scalable data pipelines using PostgreSQL and event-driven cloud technologies
• Built and maintained ETL pipelines to optimize AI model performance across various providers and implementations, achieving measurable improvements across key metrics
• Created AI-driven analytics tools and internal platforms for customer experience optimization.
• Developed event-driven agent platforms to automate clinical workflows
• Contributed significantly in a fast-paced, collaborative startup environment

Brightvine

Previously a Software Engineering Intern at Brightvine from November 2021 to March 2024:

• Built software products from scratch, covering both frontend and backend development
• Led the development of an AI-powered ETL system for PDF data extraction, from proof of concept to production
• Designed and implemented AI-driven web apps in Go, JavaScript, and Python on centralized and blockchain-based data stores
• Gained experience with machine learning and AI tools on Google Cloud, including Vertex AI and Vision AI
• Practiced agile development, devops ownership, and clean architecture in a high-speed startup environment