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, Alex Hinh developed and optimized advanced machine learning and AI service demos in the modal-labs/modal-examples repository. He engineered real-time GPU-accelerated video processing using YOLO inference over QUIC, integrated Parakeet and Kyutai speech recognition models for scalable transcription, and delivered high-throughput LLM inference with Tokasaurus. Alex refactored deployment workflows for faster builds, standardized app naming, and improved dependency management with uv and Docker. His work, primarily in Python and JavaScript, addressed cross-browser audio compatibility and modularized streaming STT architectures, resulting in more maintainable, performant, and reliable cloud-based ML applications for both developers and end users.
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
35 peopleShared Repositories
35
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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline