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I'm a software engineer at NASA and a machine learning engineer. I'm interested in the intersection of neural networks for robotics, edge inference for computer vision and time series, 3D spatial computing, and LLMs.

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Stephen Lin's Projects

3d-portfolio icon 3d-portfolio

3D portfolio site using Blender for models and scenes, and Three.js and React Three Fiber for displaying these in the browser

declutter-tabs icon declutter-tabs

Chrome extension that uses an LLM/CV to semantically categorize open tabs and output them as actionable notes

fave-o-miner icon fave-o-miner

Python script to pull twitter favorites and parse them from any publicly available twitter profile.

knowledge-pipeline icon knowledge-pipeline

Personal knowledge pipeline that uses Langchain to query heterogenous sources (Twitter likes, saved articles, podcasts, YT videos), and captures, reviews, and integrates them into flashcards for spaced repetition

nirs-classification icon nirs-classification

Finger tapping task classification model and data processing pipeline with fNIRS brain signal recordings

ocean-sensor-data-pipeline icon ocean-sensor-data-pipeline

Ocean wave logger and monitor and swell predictor using Python, PySpark for aggregation, PyTorch for modeling, Flask to create a model service, and Docker

robotic-arm-automation icon robotic-arm-automation

Spike on controlling an industrial robotic arm using Python, and RoboDK for a simulation environment

rocket-launch-telemetry-ingestion-pipeline icon rocket-launch-telemetry-ingestion-pipeline

Streaming orbital launch vehicle telemetry pipeline and dashboard using Kafka for ingestion, PySpark for transformation, InfluxDB for storage, Grafana for live visualization, and Docker

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