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SVJLucas/README.md

Lucas José

Software Engineer - Data Scientist - Machine Learning Researcher - AI Advocate

About Me 🚀

I am a versatile software developer, machine learning researcher, and data scientist, currently leading the Google Developer Student Club (GDSC) at CentraleSupelec, working on several development fronts: frontend, backend, devops, cloud, mobile, artificial intelligence. My passion lies in developing reliable and scalable software, especially backend.

I am privileged to have worked with diverse and talented teams across continents. My recent experience includes being a part of Google Summer of Code's Machine Learning for Science Program, where I researched AI in computer vision (Vision Transformers) for detecting space distortion due to Dark Matter as well working in Amazon.

from Persistence import Excellence
from ComputerScience import ExcellentProgrammer

class LucasJose(ExcellentProgrammer):

    def __init__(self):
    
        self.country = "Brazil"
        self.current_city = "Paris_FRA"
        self.current_job = "Software Engineer & AI Researcher"
        self.universities = ["CentraleSupelec (CS) - France", "Aeronautics Institute of Technology (ITA) - Brazil"]

    def im_interested_in(self):
        
        return { 
                "professional": ["ML/AI", "software_architecture", "algorithm_design", "devops", "deep_learning", "data_science"],
                "hobbies": ["open_source_contributions", "code_review", "puzzles", "comedy", "astronomy","travels"],
                "4fun": ["advanced_programming", "3D_modeling", "exploring_new_AI_technologies"]
                }

    def goals_2023(self):

        return learn(["microservices", "cloud_architecture", "system_design", "advanced_algorithms"]) \\
               and improve(["software_engineering_skills", "programming_skills", "devops_skills", "machine_learning_skills", "data_science_skills"]) \\
               and contribute_to_open_source_and_AI_research(self.country) \\
               and Excellence("everything")


👨‍💻 My Involvement with Google's Developer Programs

🎓 Google Developer Student Club Lead (GDSC)

logo_dark_stacked_KzUurne (1)

As a firm believer that joint software development with a diverse and capable team can reshape our realities, I am privileged to lead the Google Developer Student Club at CentraleSupelec. In this role, I am given the chance to lead a team of developers across multiple fronts including frontend, backend, devops, cloud, mobile, and artificial intelligence.

Reliable and scalable software development, in conjunction with backend development, are some of my passions. I am driven by the idea that our collective efforts at the club can contribute to technical innovation and positively influence our surrounding reality.

💻 Google Summer of Code (GSoC)

Google_Summer_of_Code_logo_(2021) svg (1)

Google Summer of Code is a prestigious global program organized by Google, which offers students an enriching internship-like experience. I am honored to have been selected as one of the 967 participants out of an initial 43,765 applicants from 160 countries.

As a Researcher Contributor in the Machine Learning for Science Program, I am currently researching the application of artificial intelligence in computer vision, specifically Vision Transformers, for detecting space distortion due to Dark Matter in astronomical observations. The goal is to aid researchers around the world in their efforts to understand this phenomenon.

My involvement in this program has provided me with the opportunity to collaborate with researchers from diverse backgrounds and locations, including the USA, India, France, Germany, and England. I am enthusiastic about the field of astronomical research and the potential implications it holds for our understanding of the universe.


🛠️ Language and Tools

Java

Java

Java

Java

Java

Java

Java

Java

Java

Java

Java

Java

Java

Java

Java

Java



🌎 Connect with me



📌 My Projects

I've undertaken numerous projects spanning a diverse range of fields, all of which are consolidated into repositories on my GitHub. These projects encompass personal initiatives, academic coursework, internships, and research endeavors. You'll discover a wide variety of subjects within, including Inference, Optimization, Mathematics, Programming, Software Development and Algorithms, among others!

Looking forward to...

I am always on the lookout for challenging opportunities in software development and data science. If you have an exciting project in mind, I'd love to chat. I'm open to collaborations, job opportunities, or even a friendly chat about technology!

Thanks for your visit! Stay on the lookout, more to come soon! :)

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      Developing
      Amazing
      Projects!

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  1. ViT-for-Dark-Matter-Morphology ViT-for-Dark-Matter-Morphology Public

    Under the international Google Summer of Code program, the project "Transformers for Dark Matter Morphology with Strong Gravitational Lensing" was developed to improve the Machine Learning for Scie…

    Jupyter Notebook 3

  2. BCG-Gamma-Challenge BCG-Gamma-Challenge Public

    We're proud to announce that our team secured the First Prize in the BCG GAMMA Challenge for Data Science and Consulting. This GitHub repository hosts all the code, models, and analytical technique…

    Jupyter Notebook 4 1

  3. ImproveLLMStorytellingWithFineTuning ImproveLLMStorytellingWithFineTuning Public

    This workshop, led by Lucas José for the Google Developer Student Clubs, focuses on developing practical skills in fine-tuning smaller Language Models (LLMs) to enhance their storytelling capabilit…

    Jupyter Notebook

  4. Scanipy Scanipy Public

    Scanipy stands for "scan it with Python"—it's your smart Python library for scanning and parsing complex PDF files like books, reports, articles, and academic papers. Utilizing cutting-edge Deep Le…

    Python 19 1

  5. IsVoldemortAGorilla IsVoldemortAGorilla Public

    Jupyter Notebook

  6. Lucasvitoriano25/Unveiling-Gene-Disease-Connections Lucasvitoriano25/Unveiling-Gene-Disease-Connections Public

    This study uses Graph Neural Networks (GNNs) to identify gene-disease associations from a large Knowledge Graph, enabling the prediction of novel links and providing insights into the genetic found…

    Jupyter Notebook 1