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markavale/README.md

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About Me

const markAnthonyVale = {
    role: "Lead Data & AI Engineer",
    location: "Cavite, Philippines ๐Ÿ‡ต๐Ÿ‡ญ",
    philosophy: "Problem-Solving First, Coding Second",

    leadership: {
        teamsManaged: ["Ingestion", "Search", "Inference"],
        totalEngineers: 11,
        focus: "Enterprise-scale AI systems & data pipelines"
    },

    achievements: {
        dataProcessed: "50M+ data points daily",
        systemReliability: "99.9%",
        ragQueries: "100K+ monthly",
        costReduction: "40% infrastructure savings"
    },

    currentlyExploring: [
        "LangGraph for stateful multi-actor LLM apps",
        "Crew AI for multi-agent frameworks",
        "Advanced RAG architectures"
    ],

    funFacts: ["๐Ÿ“ธ Photography", "๐Ÿƒ Running", "๐Ÿ€ Basketball", "๐Ÿธ Badminton"]
};

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What I Do

๐Ÿง  AI/ML Engineering

  • RAG Systems Architecture
  • LLM Orchestration (LangChain, LangGraph)
  • Multi-Agent Frameworks (Crew AI)
  • Vector Databases & Embeddings
  • AI-Powered Chatbots

๐Ÿ”„ Data Engineering

  • Enterprise Data Pipelines
  • Real-time Stream Processing
  • ETL/ELT Workflows
  • Data Warehouse Design
  • Apache Spark & Airflow

๐Ÿ•ท๏ธ Web Scraping at Scale

  • Distributed Crawling Systems
  • Anti-Detection & Proxy Management
  • Browser Automation (Playwright, Selenium)
  • Mobile Scraping (Appium)

โšก Backend & Architecture

  • Microservices Design
  • RESTful APIs (FastAPI, Django)
  • System Architecture & Scaling
  • DevOps & Cloud Infrastructure

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Tech Arsenal

๐Ÿ Languages

Python TypeScript JavaScript SQL Rust Go

๐Ÿค– AI/ML & LLM

LangChain LangGraph OpenAI PyTorch scikit-learn Pandas NumPy

๐Ÿ”ง Backend & APIs

FastAPI Django Flask GraphQL

๐Ÿ“Š Data Pipeline & Processing

Apache Airflow Apache Spark Apache Kafka Redis

๐Ÿ—„๏ธ Databases & Vector Stores

PostgreSQL MongoDB Elasticsearch MySQL Milvus

๐Ÿ•ท๏ธ Web Scraping

Scrapy Selenium Playwright Beautiful Soup

โ˜๏ธ Cloud & DevOps

Docker Kubernetes AWS Vercel Nginx

๐ŸŽจ Frontend

React Next.js Vue.js Tailwind CSS

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๐ŸŽฏ My Problem-Solving Framework

โ•”โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•—
โ•‘                           THE TRIPLE P FRAMEWORKโ„ข                              โ•‘
โ• โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ฃ
โ•‘                                                                               โ•‘
โ•‘   ๐ŸŒฑ PLANT IT                 ๐Ÿ”„ PROCESS IT               โœ… PROVE IT        โ•‘
โ•‘   โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€              โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€               โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€        โ•‘
โ•‘   Think First,               Do the Work,                Validate Results,   โ•‘
โ•‘   Design the Approach        Follow the Steps            Confirm Success     โ•‘
โ•‘                                                                               โ•‘
โ•‘   โ€ข Requirements Analysis    โ€ข Agile Development         โ€ข Performance Test  โ•‘
โ•‘   โ€ข Risk Assessment          โ€ข Code Implementation       โ€ข User Acceptance   โ•‘
โ•‘   โ€ข Architecture Design      โ€ข CI/CD Pipeline            โ€ข Production Deploy โ•‘
โ•‘   โ€ข Team Coordination        โ€ข Knowledge Sharing         โ€ข Impact Metrics    โ•‘
โ•‘                                                                               โ•‘
โ•šโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•

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GitHub Analytics

GitHub Stats GitHub Streak
Top Languages

Activity Graph

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๐Ÿš€ Featured Projects

Project Description Tech Stack
๐Ÿค– Pace Personal AI Assistant (Second Brain using PARA method) LangChain, LangGraph, Crew AI, FastAPI
๐Ÿ‘๏ธ EchoSight Video/Audio Intelligence for Business Analysis Whisper, LLM, FFmpeg, Web Research
๐Ÿ•ท๏ธ SERP Scrapers Multi-platform Search Engine Data Collection Scrapy, Playwright, Proxy Rotation
๐Ÿ“Š Data Pipeline Enterprise ETL processing 50M+ records/day Spark, Airflow, Kafka, Redis

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๐Ÿ”ฎ Currently Building

   โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
   โ”‚                                                                  โ”‚
   โ”‚   ๐Ÿง  Advanced RAG Architectures with Multi-Modal Support        โ”‚
   โ”‚   ๐Ÿค– Multi-Agent AI Systems for Enterprise Automation           โ”‚
   โ”‚   ๐Ÿ“Š Real-time Analytics Pipelines with LLM Integration         โ”‚
   โ”‚   ๐Ÿ”„ Self-Improving AI Workflows with Human-in-the-Loop         โ”‚
   โ”‚                                                                  โ”‚
   โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ

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๐Ÿค Let's Connect

I'm always open to collaborating on innovative AI projects and discussing enterprise-scale solutions.

Email LinkedIn Buy Me Coffee

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โšก Powered by curiosity and caffeine | Built with ๐Ÿ’™ by Mark Anthony Vale

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