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Currently upskilling in MLOps—focusing on observability and scalable inference.
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Currently upskilling in MLOps—focusing on observability and scalable inference.
3 followers · 33 following

Achievements

Achievement: YOLOAchievement: Pull Sharkx2

Achievements

Achievement: YOLOAchievement: Pull Sharkx2

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DigitalCreationsCo/README.md

Hi, I’m Andres 👋

I'm a Full-Stack Engineer from New York 🏙️, based in San Francisco, CA. ☀️

Current Focus

  • Building agentic applications
  • Upskilling in MLOps, model deployment, and agentic workflows ⚙️🤖

Machine Learning Stack

Languages: Python · Java · TypeScript
Frameworks & Tools: FastAPI · PyTorch · TensorFlow · LangChain · Docker · Kubernetes

Recently Read

☑️ Hands-On Large Language Models by Jay Alammar & Maarten Grootendorst ☑️ Machine Learning in Finance by Matthew F. Dixon, Igor Halperin & Paul Bilokon

Connect

Portfolio: www.bryantmejia.com
Email: bryantmejia722@outlook.com
LinkedIn: Let's connect

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  1. ml-concepts-explorer ml-concepts-explorer Public

    Machine Learning Concepts Explorer is a React application that provides explanations of various ML/DL concepts using animations and interactive elements.

    TypeScript

  2. MovieRecommender MovieRecommender Public

    Forked from haocai1992/MovieRecommender

    A movie recommendation system built using Scala, Spark and Hadoop

    HTML 1

  3. hypedigest hypedigest Public

    News editorial website delivering Technology, Politics, Sciences news. Built with Angular and Sanity.io

    TypeScript

  4. tonestar tonestar Public

    AI-powered songwriting app that helps users generate complete songs.

    TypeScript 1