About
Francesco Jr, with a Bachelor's degree in Game Design and a technical specialization
in Multimedia Design and
Illustration, has extensive experience in the audiovisual industry and is currently pursuing a postgraduate degree
in Data Science and Artificial Intelligence.
His professional journey spans from RGB to CMYK, from 2D to
3D, from front-end to back-end, and from pre-production
to post-production. At renowned agencies such as Cappuccino Digital, Salem, One
Digital, and Agência Climax,
Francesco Jr delivered projects for major brands like Sony, Coca-Cola, Sprite, Shoptime, and
Banco do Brasil.
His passion for the world of games led him to Kidguru, where he contributed to the development of the first original
brazilian game on the PSN and authored a project that won the BRGames grant.
Additionally, two of his projects were
selected for FILE (International Festival of Electronic Language).
In 2010, Francesco Jr co-founded Pexera Produções with two partners, where he served as partner, director, and
visual effects lead. At Pexera, he collaborated with renowned Brazilian hip-hop artists such as Kamau, Projota,
James Ventura, Don Cesão, as well as underground artists like Gloria and Bullet Bane.
A founding partner of HCUnit, Francesco plays a key role in the creative, motion, and post-production departments,
where he has worked with clients such as Riot Games, Roche, Vitrio, RPMA, Intuit, Vigor,
Fini, Boticário, among
others.
Currently, he studies and develops full-stack applications and Blender plugins, holding certifications
including IBM Data Science Professional Certificate, Python 3 Specialization from the
University of Michigan, and
IBM Full Stack Software Developer.
Projects
Smart Gallery - AI Photo Management
Developed a full-stack serverless photo management application with AI-powered automatic tagging and real-time
analytics. Built modern Pinterest-style gallery interface with Vue.js 3 Composition API and TypeScript, featuring
drag-and-drop uploads, lightbox modals, and responsive design. Implemented comprehensive AWS serverless
architecture using Lambda functions for image processing, Amazon Rekognition for intelligent photo classification,
S3 for scalable storage, DynamoDB for metadata management, and CloudFront for global content delivery. Created
real-time analytics dashboard with Chart.js visualizations, event-driven UI updates, and dark theme components.
TypeScript 43.1%
Vue 26.3%
JavaScript 18.5%
Shell 7.0%
HTML 3.2%
PowerShell 1.6%
Other 0.3%
View Project
NotionCards Dashboard
Developed an integrated dashboard system connected to the Notion API with role-based authentication. Implemented
an admin panel for full CRUD operations and a client panel for Notion card approval and visualization. Designed a
responsive interface using React and TailwindCSS, with seamless data synchronization via Notion API.
Test
credentials:
teste@teste.com / teste123
JavaScript 93.4%
CSS 6.3%
HTML 0.3%
View Project
LFA Database
Built a modern web application to query fighters and display their participation across LFA events. Implemented
automated web scraping using Playwright for robust data extraction and generated a comprehensive SQLite database
with fighter statistics and event history. Built an interactive interface using Vite, React, and TypeScript with
advanced filtering and search capabilities.
Python 35.9%
CSS 30.9%
TypeScript 29.2%
JavaScript 2.5%
HTML 1.5%
View Project
3D Interactive Hotsite
Interactive 3D showcase of the Lancia Fulvia HF built with Three.js, React and TypeScript. Features optimized 3D
model, smooth camera controls, technical specifications menu, intelligent fallbacks and performance monitoring.
Automated deployment via Vercel with S3 assets. Includes Vite build system, WebGL rendering, Vitest testing suite,
and WCAG accessibility compliance.
TypeScript 78.1%
CSS 11.5%
JavaScript 7.5%
HTML 2.9%
View Project
SpaceX Falcon 9 Landing Prediction
Implemented a machine learning pipeline to predict Falcon 9 first-stage landing success, optimizing model
selection for cost estimation and mission reliability. Applied data preprocessing, feature engineering, and
hyperparameter tuning for Logistic Regression, SVM, Decision Tree, and KNN classifiers.
View Project
UFC Prospect Detection – Ensemble ML System
Developed a machine learning ensemble system that combines multiple anomaly and classification algorithms to
identify potential UFC fighters. Integrated models including LOF, Logistic Regression, Isolation Forest, One-Class
SVM, PCA + LOF, and Ensemble LOF, generating a consensus through weighted calibration and false-positive
reduction. Achieved 80% real-world accuracy (12 of 15 verified prospects), with confirmed UFC and DWCS signings.
Python 90%
HTML 5.2%
Other 4.8%
View Project
HcChat – Intelligent Chat Assistant with RAG (WIP)
Built a retrieval-augmented chatbot for HcUnit, combining Next.js 14, React 18, and FastAPI. Integrated DeepSeek
for natural conversational AI and Pinecone for semantic knowledge retrieval. Deployed entirely on Render,
with over 90% test coverage and production-ready CI/CD configuration.
Python 42.7%
TypeScript 34.1%
PowerShell 20.4%
JavaScript 2.4%
CSS 0.4%
Farm Jockey – Retro Animal Racing Game
Developed a complete 2D racing game with gambling mechanics using Python and Pygame, featuring procedural sprite generation, real-time physics simulation, and dynamic probability algorithms. Implemented MVC architecture with modular components, WebAssembly deployment via Pygbag, comprehensive unit testing with pytest, and CI/CD automation through GitHub Actions. Includes asset management system, state machine pattern, audio integration, and cross-platform compatibility with 60 FPS performance optimization. Deployed using AWS S3 for static hosting and CloudFront for global content delivery.
View Project
Blender Addons
Developed professional Python addons for Blender 3D to enhance workflow efficiency for 3D artists and animators.
Tools include real camera utilities, array and duplication enhancements, render preset management, and integration
with SynthEyes scripts for camera tracking.
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