modal-labs/modal-examples
Dec 2024 – Aug 2025
4 Months active
Languages Used
CSSHTMLPythonSVG
Technical Skills
Cloud ComputingDeep LearningDevOpsFastAPIGPU ComputingGradio
Shariq Mobin
PROFILE
Shariq Mobin
Shariq developed and delivered four production-ready features in the modal-labs/modal-examples repository over four months, focusing on scalable cloud-based machine learning and backend systems. He implemented cloud inference for protein folding, a latency-optimized TensorRT-LLM serving example, a Modal-based web job queue, and an end-to-end OpenAI gpt-oss deployment with vLLM. His work combined Python, FastAPI, and containerization to enable GPU-accelerated inference, asynchronous job processing, and rapid model deployment. Each feature included robust environment setup, dependency management, and API design, resulting in reusable, observable workflows that improved deployment readiness and developer experience. No major bugs were reported during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
2,119
Activity Months4
Your Network
48 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary: Delivered an end-to-end OpenAI gpt-oss with vLLM on Modal demo in the modal-examples repo, enabling rapid experimentation and demonstration of deployment readiness for developers. The work focused on end-to-end deployment, containerization, and a streamlined testing workflow to validate production-like behavior.
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary: Delivered an end-to-end OpenAI gpt-oss with vLLM on Modal demo in the modal-examples repo, enabling rapid experimentation and demonstration of deployment readiness for developers. The work focused on end-to-end deployment, containerization, and a streamlined testing workflow to validate production-like behavior.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for modal-labs/modal-examples focused on delivering a scalable background job processing feature. Implemented a Modal-based Web Job Queue wrapper with a backend service that simulates cold-boot and task execution delays, and exposed API endpoints to submit jobs, poll status, and retrieve results. The design leverages Modal's asynchronous job spawning and call graph features to enable scalable, observable workflows. No major bugs reported this month; minor polish and documentation updates were implemented as needed. Overall impact includes faster delivery of background processing capabilities, improved reliability, and a reusable architecture for future tasks.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for modal-labs/modal-examples focused on delivering a scalable background job processing feature. Implemented a Modal-based Web Job Queue wrapper with a backend service that simulates cold-boot and task execution delays, and exposed API endpoints to submit jobs, poll status, and retrieve results. The design leverages Modal's asynchronous job spawning and call graph features to enable scalable, observable workflows. No major bugs reported this month; minor polish and documentation updates were implemented as needed. Overall impact includes faster delivery of background processing capabilities, improved reliability, and a reusable architecture for future tasks.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary focusing on delivering a latency-optimized TensorRT-LLM serving example for the modal-examples repository, with clear emphasis on business value and technical achievements.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary focusing on delivering a latency-optimized TensorRT-LLM serving example for the modal-examples repository, with clear emphasis on business value and technical achievements.
April 2025
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary: Delivered cloud-based protein structure prediction capability and a new ESM3 demo in modal-labs/modal-examples. Implemented end-to-end cloud inference with Boltz-1, environment setup, dependencies, and model weight management for remote GPU acceleration; added a Gradio-based UI and Python script for the ESM3 demo to input sequences or UniProt IDs and visualize predicted structures. No major bugs reported. This work increases scalable cloud-enabled protein folding demos and showcases a production-ready example for stakeholders.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary: Delivered cloud-based protein structure prediction capability and a new ESM3 demo in modal-labs/modal-examples. Implemented end-to-end cloud inference with Boltz-1, environment setup, dependencies, and model weight management for remote GPU acceleration; added a Gradio-based UI and Python script for the ESM3 demo to input sequences or UniProt IDs and visualize predicted structures. No major bugs reported. This work increases scalable cloud-enabled protein folding demos and showcases a production-ready example for stakeholders.
Activity
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Quality Metrics
Correctness94.0%
Maintainability88.0%
Architecture94.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLPythonSVG
Technical Skills
API DevelopmentBackend DevelopmentCloud ComputingContainerizationDeep LearningDevOpsFastAPIGPU ComputingGradioInference OptimizationMachine LearningModalMolstarProtein FoldingPython
Repositories Contributed To
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