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edgarh92/README.md

Hi πŸ‘‹, I'm Edgar Hernandez

Staff Workflow Engineer @ LinkedIn | Python Developer | Media Automation Specialist

eggpression

Package well, ship often, and may your wheels never wobble.

πŸ”­ I'm currently working on leading citizen developers (full stack builders) at LinkedIn, building programs to enable international automation, and developing lightweight orchestration services for publishing platforms and content development workflows. Leading platform standardization initiatives and empowering teams globally to create their own automation solutions.

🌱 I'm currently learning to build accessible productivity tools and services for content ingest and orchestration

πŸ’¬ Ask me about leading citizen developers (full stack builders), building programs to enable international automation, lightweight orchestration services, media automation, publishing platform workflows, and LinkedIn Learning content development.

🀝 I'm helping lead full stack building culture at LinkedIn, empowering citizen developers to automate workflows internationally. Building programs and platforms that enable teams across APAC, EMEA, and other regions to create their own automation solutions. Also contributing to orchestration services for content development, media replication services, batch video transcoding, and video captioning modernization.

πŸ“« How to reach me h.edgar714@gmail.com

Experience:

Staff Workflow Engineer @ LinkedIn

March 2025 - Present

Platform Leadership & Orchestration:

  • Leading GCP Tools Crew platform standardization initiative, coordinating 20+ developers and establishing tool development frameworks that improved cross-team productivity by 30%
  • Building lightweight orchestration services for publishing platform and content development workflows
  • Mentoring international studio production teams (APAC-ZH, APAC-JP) through workflow automation, reducing manual intervention by 40%

LinkedIn Learning & Content Development:

  • Globus Thumbnail Distribution: Hotfolder service for syncing graphics thumbnails to course projects with automatic file monitoring, course ID validation, multi-locale support, and remote sync capabilities. Features structured logging, retry logic with exponential backoff, mount availability monitoring, and systemd watchdog integration for production reliability
  • Media Ingest Tool: Developed full-stack Python and MySQL service for LinkedIn Learning, streamlining ingest and distribution, reducing video publishing and onboarding time by 80%
  • CourseWeaver Content Repurposing Pipeline: Designed robust file transformation utility enabling efficient repurposing of educational video content, accelerating course development cycles by 40% and increasing content reuse by 65%

Media Pipeline & Infrastructure:

  • Storage Replication Service: Integrated custom media replication service using Python, FFmpeg, FFProbe, and Cosmos DB to scale remote production. Implemented Azure Front Door and Azure Functions to manage terabytes of media formats
  • Batch Short Form Video Transcoding: Built microservice for high-volume transcoding, enabling partner engineering teams to batch retrieve media assets from Azure, critical for content creator video feature launch
  • Caption Request Service: Modernized captioning services, removing vendor lock-in and improving language support. Refactored monolithic code into modular services

Senior Video Encoding Technician 1 @ LinkedIn

February 2016 - March 2025

  • Video Quality Analysis: Automated video encoding quality analysis using VMAF library, optimizing Apple HLS/DASH delivery and QoE on media platforms
  • Video Inspection Service: Developed highly available video analysis microservices with FFmpeg and MediaInfo, generating easy-to-understand reports. Deployed on VMs to reduce latency, adopted as key production tool for agile remote video productions
  • Media Archiving Pipeline: Built E2E pipeline managing media storage, archive, and metadata, delivering 70% improvement in "Time to Archive" and 60% storage cost savings
  • Video Encoding Modernization: Led team of 5 engineers in CDN migration, established performance benchmarks, and optimized resource allocation across 8 distributed transcoding clusters

πŸ“„ Documentation

  • πŸ“‹ Resume - Comprehensive resume with technical expertise and professional experience
  • πŸš€ Projects Portfolio - Detailed overview of professional and personal projects, including 50+ contributions across 19+ repositories

Projects:

Professional Projects @ LinkedIn

  • Globus Thumbnail Distribution: Production-ready hotfolder service for automatic thumbnail synchronization to course projects. Features multi-locale support, remote sync capabilities, health monitoring with systemd watchdog integration, and robust error handling with structured logging
  • GCP Tools Crew Platform Standardization: Leading platform standardization initiative coordinating 20+ developers, improving cross-team productivity by 30%
  • Lightweight Orchestration Services: Building orchestration services for publishing platform and content development workflows
  • CourseWeaver Content Repurposing Pipeline: File transformation utility accelerating course development cycles by 40% and increasing content reuse by 65%
  • LinkedIn Learning Media Ingest Tool: Full-stack service reducing video publishing and onboarding time by 80%
  • Video Encoding Modernization: Led team of 5 engineers in CDN migration, optimizing resource allocation across 8 distributed transcoding clusters

Personal Projects

  • AI-Powered Screenshot Organizer: SaaS application with AI categorization, OCR, and IPFS storage (Next.js, TypeScript, AI research tools)
  • Agentic System: Research project using Langgraph and Ollama for multi-step reasoning and tool integration (Python, FastAPI)
  • YouTube to Spotify Archiver: Automated playlist migration tool with 85-95% success rate (Python, Spotify/YouTube APIs)
  • Music Information Parser: Web scraping tool for extracting music metadata from multiple platforms (Python, Selenium, Playwright)
  • Reddit Enhancement Suite: Contributor to open-source browser extension with 1M+ users (JavaScript, Chrome Extension API)
  • YouTube Playlist Tools: Browser extensions for playlist management and cleanup (JavaScript)

See PROJECTS.md for detailed project descriptions.

Languages and Tools:

python fastapi nodejs

nextjs react typescript tailwindcss

mysql sqlite

aws azure gcp vercel

bash git docker

ffmpeg

Tech Stack Summary:

- **Languages**: Python (Expert), SQL, Bash, CSS, HTML, Prompt Engineering - **Backend**: FastAPI, Django, Langchain, Langgraph, Pydantic, PostgreSQL, MongoDB, Cosmos DB - **Frontend**: Next.js, React, TypeScript, Tailwind CSS - **AI/ML**: Prompt Engineering, Langgraph, Ollama, ChromaDB (embeddings), AI research tools - **Media**: FFmpeg, FFProbe, x264, VMAF, MediaInfo, Telestream, Rclone - **Cloud**: Azure, GCP, AWS, Vercel (Azure Functions, Azure App Services, Azure Front Door, Blob Storage) - **Infrastructure**: Kafka, Redis, Azure Message Queues, Docker, Linux, Distributed Systems - **Tools**: Git, Pytest, Pandas, Selenium, Playwright, BeautifulSoup

Connect with me:

eggpression ehernandez0

Pinned Loading

  1. edgarh92 edgarh92 Public

    Introduction to my github

  2. Youtube-to-Spotify-Archiver Youtube-to-Spotify-Archiver Public

    Archives music in a youtube playlist to a Spotify playlist.

    Python 7 1

  3. Youtube-Title-Parser Youtube-Title-Parser Public

    Forked from lttkgp/youtube_title_parse

    Parse song & artist names from YouTube video titles

    Python

  4. llama-agentic-system llama-agentic-system Public

    Forked from llamastack/llama-stack-apps

    Agentic components of the Llama Stack APIs

    Python 1

  5. crewAI-prototyping crewAI-prototyping Public

    Forked from crewAIInc/crewAI-examples

    Python

  6. LeetCode-and-HackerRank LeetCode-and-HackerRank Public

    Tracking my HackerRank Challenges

    Python