Software Engineering Intern, Prime Video @ Amazon. Fall 2024
Built a marketing campaign visibility dashboard for the Prime Video notification system, enabling marketing and product teams to track campaign performance. Designed and implemented architecture using AWS SQS and CloudWatch Logs, Java/Guice, and React. Authored a detailed design document and secured UI mockup approval from internal users.
Summer AI Engineer, BCG X @ Boston Consulting Group. Summer 2024
Staffed on data engineering project for a large consumer goods company’s digital transformation project. Implemented synthetic data generation and comprehensive testing suite in PySpark/SQL, filling gaps in existing testing of codebase. Led 1-on-1 mentoring sessions with members of the client team, covering necessary knowledge to operate new Databricks-based data engineering pipeline.
Summer Scholar, National Ignition Facility & Photon Sciences @ Lawrence Livermore National Laboratory. Summer 2023 → Spring 2024
Developed radiography analysis tools for images of nuclear fusion taken by the Crystal Backlighter Imager at the National Ignition Facility using TensorFlow and Python. Delivered novel error-aware, gradient-descent based Abel-inversion software, replaced existing analysis process. Work presented at Conference on High Temperature Plasma Diagnostics (HTPD 2024) and in preparation for submission to Computational Physics Communication journal.
[llnl diagnostics overview]
CEO & Co-founder, Generative Machine Learning/Backend Developer @ Convoice. Fall 2022 → Spring 2024
Designed and implemented voice-first AI customer service bot from scratch. Built core business infrastructure including highly concurrent telephony service using AWS ECS and API Gateway, hybrid search for document retrieval using Pinecone and AWS OpenSearch. Led startup direction, managed 5+ team members, and handled all legal, financial, and compliance matters. Integrated, optimized text and speech generation models, self-hosted and with PyTorch on AWS SageMaker and GCP Vertex AI.
[serverless LLM → TTS architecture]
Undergraduate Researcher, Networks System Sciences Group @ UVA Biocomplexity Institute. Fall 2021 → Fall 2022
Created understandable neural networks for interpretability-critical uses (public health, demographics) in TensorFlow. Researched feasibility of field fallowing predictions within Washington state using soil, climate, field surveying data. Implemented novel hyper-graph structure and method for training GNNs on time-series data.