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davidGCR/README.md

Hi there πŸ‘‹, My name is David Choqueluque

I am a software developer with a strong background in Computer Science.

I hold a master degree in Computer Science mainly oriented to Machine Learning, Computer Vision, and NLP.

  • I have 3 years of experience as a full-stack developer including front-end, back-end, and cloud development with AWS.
  • I have 3 years of experience as a Data Engineer and
  • 2 years as a Machine Learning Engineer.

I am a passionate about Machine Learning, Deep Learning, Computer Vision, NLP, GenAI, and Data Science.

Below, some technologies I have experience:

Machine Learning Frameworks & Tools:

Tensorflow PyTorch Keras ScikitLearn Pandas Jupyter OpenCV Octave Google Colab Fast Api Numpy Hugging Face AWS Matplotlib LangChain LangGraph LlamaIndex Kedro Vertex AI Streamlit

MLOps:

AWS apacheairflow docker circleci Pypi Kubernetes Cloud Build

Programming Languages:

Python Cplusplus Java JavaScript Node.JS

Parallel Programming:

Cuda OpenMP Opengl

Cloud

AWS terraform serverless apacheairflow docker

Data Engineering:

apachespark scala apacheairflow

Web Development

Angular React html5 css3 JavaScript


Find me:

LinkedIn googlescholar


πŸš€ Projects: Machine Learning, NLP, and Computer Vision

Explore some of my key projects that showcase my skills in Machine Learning, NLP, and Computer Vision:

NLP Projects

  • Speech Analysis - NLP
    πŸ’‘ Automated speech monitoring to analyze sales calls and improve team performance using NLP techniques.
  • Hiring Bot - NLP
    πŸ€– A chatbot for resume screening, leveraging fine-tuned models and prompt engineering to optimize recruitment.
  • Spanish Sentiment Analysis
    πŸ‡ͺπŸ‡Έ Developed a sentiment analysis model tailored for the Spanish language using custom datasets.

Computer Vision Projects

  • Violence Detection
    🚨 Built an action detection system to identify violence in videos using action tubes and deep learning.
  • Deep Estimation for Autonomous Driving
    πŸš— Implemented a depth estimation model for autonomous driving scenarios with state-of-the-art architectures.
  • Camera Calibrator
    πŸ“Έ Created a tool to calibrate cameras for better geometric accuracy in image-based tasks.

MLOps and Analysis Projects

  • MLOps - CI/CD
    πŸ”„ Designed a CI/CD pipeline for heart disease prediction models using Docker, GitHub Actions, and MLflow.
  • Support Vector Machines - My Analysis
    πŸ“Š Performed an in-depth analysis of SVMs for classification and regression tasks with visualizations.

πŸ› οΈ Projects: Data Engineering

Explore how I design robust and scalable solutions in data engineering:

  • Lambda Conversor
    πŸ”„ Serverless Excel-to-CSV conversion tool using AWS Lambda for efficient file transformations.
  • ETL Serverless
    πŸ› οΈ Built a serverless ETL pipeline leveraging AWS and Terraform for automation and scalability.

Pinned Loading

  1. Action-Tubes-for-Violence-Detection Action-Tubes-for-Violence-Detection Public

    Python 1 1

  2. Heart-Dissease-Prediction-MLOps-CI-CD Heart-Dissease-Prediction-MLOps-CI-CD Public

    Forked from joenvihe/test_rimac

    Test Rimac

    Python 1

  3. depth_estimation_autonomous depth_estimation_autonomous Public

    Jupyter Notebook

  4. suport-vector-machines-analysis suport-vector-machines-analysis Public

    Jupyter Notebook

  5. hiring-bot hiring-bot Public

    A AI-based chatbot to help a hiring process

    Python