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Marcus Vinicius D. - , React Native, nextjs

My name is Marcus Vinicius D. and I have over 2 years years of experience in the tech industry. I specialize in the following technologies: Django, FastAPI, Flask, Large Language Model, React, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Modern E‑Commerce Platform: Backend & Integration, Real‑Time Analytics Dashboard, Medical Assistant website, AI Learning Assistant App, AI Nutrition Coach App. I am based in Brasilia, Brazil. I've successfully completed 5 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • 2 years

  • Django

    1 Year

  • FastAPI

    1 Year

  • Flask

    1 Year

Additional skills

Direct hire

Potentially possible

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Experience Highlights

Modern E‑Commerce Platform: Backend & Integration

Built a robust, scalable backend to power a clean, product‑focused storefront. Developed RESTful APIs for product catalogs, carts, orders and user management, integrated seamlessly with an Angular front‑end for a smooth shopping experience.

Real‑Time Analytics Dashboard

A dark‑mode dashboard presenting live KPIs via modular widgets. Enables operational teams to monitor metrics at a glance, with drag‑and‑drop layout and real‑time updates.

Medical Assistant website | Doctor Bot

The goal of this website is to allow users to get medical assistance from AI based on their information and symptoms. Functionality of this website is: Estimation of diseases in next 10 years : Based on the user's medical information registered, tell users to be aware of the diseases that can likely to be happened in the future. Explanation and medical guide by chatting mode with AI Bot. Suggestion of valuable medical materials for the patients according to their diseases. Appointment with doctors in the database: Connect registered doctors to the patients according to their needs.

AI Learning Assistant App | Website Ad

The goal of this app is to personalize learning through adaptive AI-driven interactions. Functionality: Dashboard: A hub for browsing courses, tracking progress. Quiz Interaction: Adaptive quizzes that change based on user performance. Feedback: Performance summaries generated by AI with suggestions for improvement.

AI Nutrition Coach App | Website

A personal health assistant that uses computer vision to scan food images, determine nutritional content, and create meal plans tailored to user goals. For frontend, it can change the theme of the app and for backend, it equipped with image-to-data trained model. And machine learning for making meal plans from the User Information.

Education

  • Universidade Federal de Minas Gerais

    Bachelor of Computer Science (BCompSc) in Computer science

    2014-01-01-2017-01-01

Languages

  • English
  • Portuguese