modal-labs/modal-examples
Jun 2025 – Aug 2025
3 Months active
Languages Used
JavaScriptPythonSVGTypeScriptHTML
Technical Skills
ASRCSSCloud ComputingDeep LearningDependency ManagementDevOps
Andrew Hinh
PROFILE
Andrew Hinh
Over a three-month period, contributed to the modal-labs/modal-examples repository by building and optimizing GPU-accelerated machine learning demos for real-time video, speech, and image processing. Developed features such as QUIC-based peer-to-peer video inference with YOLO, real-time speech-to-text pipelines using Parakeet and Kyutai STT, and high-throughput LLM serving with Tokasaurus. Improved deployment workflows through dependency management with uv and streamlined model storage using Modal Volumes. Refactored code for maintainability, standardized naming conventions, and enhanced cross-browser audio compatibility. Leveraged Python, JavaScript, and Docker, focusing on backend development, cloud deployment, and inference optimization to deliver scalable, reliable AI services.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
21Total
Bugs
3
Commits
21
Features
13
Lines of code
3,460
Activity Months3
Your Network
40 peopleShared Repositories
40
Work History
August 2025
5 Commits • 3 Features
Aug 1, 2025Monthly summary for 2025-08 focusing on business value, reliability, and maintainability for the modal-labs/modal-examples repository. Delivered features and fixes across major areas with clear impact on developer experience and cross-browser support.
5 Commits • 3 Features
Aug 1, 2025Monthly summary for 2025-08 focusing on business value, reliability, and maintainability for the modal-labs/modal-examples repository. Delivered features and fixes across major areas with clear impact on developer experience and cross-browser support.
August 2025
July 2025
4 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for modal-labs/modal-examples: Delivered performance, real-time capabilities, and scalable inference demos across image-model workflows and AI services. Focused on business value through GPU-accelerated processing, streamlined model loading, and demonstrable throughput benchmarks.
July 2025
4 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for modal-labs/modal-examples: Delivered performance, real-time capabilities, and scalable inference demos across image-model workflows and AI services. Focused on business value through GPU-accelerated processing, streamlined model loading, and demonstrable throughput benchmarks.
June 2025
12 Commits • 7 Features
Jun 1, 2025June 2025 focused on delivering low-latency, GPU-accelerated ML capabilities in modal-examples, while slimming deployments and improving scalability. Key features introduced real-time QUIC peer-to-peer video processing with YOLO inference, Parakeet ASR transcription with concurrency improvements, SGL VLM example updates using Modal Volumes for model storage, Modal app build/deploy optimization, and a TensorRT-LLM/DeepSeek FP4 example with library upgrades. These changes reduce startup latency, improve throughput for live/video workloads, and streamline workflows for faster experimentation and deployment.
12 Commits • 7 Features
Jun 1, 2025June 2025 focused on delivering low-latency, GPU-accelerated ML capabilities in modal-examples, while slimming deployments and improving scalability. Key features introduced real-time QUIC peer-to-peer video processing with YOLO inference, Parakeet ASR transcription with concurrency improvements, SGL VLM example updates using Modal Volumes for model storage, Modal app build/deploy optimization, and a TensorRT-LLM/DeepSeek FP4 example with library upgrades. These changes reduce startup latency, improve throughput for live/video workloads, and streamline workflows for faster experimentation and deployment.
June 2025
Activity
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Quality Metrics
Correctness93.0%
Maintainability91.4%
Architecture91.8%
Performance89.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
HTMLJavaScriptPythonSVGTypeScript
Technical Skills
API DevelopmentASRBackend DevelopmentCSSCloud ComputingCloud DeploymentCode RefactoringDeep LearningDependency ManagementDevOpsDockerDocumentationFastAPIFrontend DevelopmentFull Stack Development
Repositories Contributed To
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