I am a Computer Science senior at Penn State focused on AI, machine learning, blockchain, and quantum secure communication.
I work on high impact projects that combine research and engineering, and I enjoy building technology that solves real problems at scale.
Currently, I am a lead researcher at Penn State’s Blockchain Data Intelligence Lab, where I develop QLink, a quantum safe interoperability protocol that uses QKD and PQC to secure blockchain bridges. I am and also a software developer for Penn State Libraries where I work alongside the team using Ruby on Rails to maintain Univeristy's websites and services.
Quantum safe Layer 3 bridge that uses QKD and PQC to secure cross chain communication.
I simulated a 7 validator network with 5 to 50 km fiber links and reached up to 707 times surplus key throughput and under 1 second latency. This outperformed classical bridges by more than 400 times in cross chain key refresh rate.
Published Research Paper
Machine learning model using 480K NFL plays to predict fourth down conversions.
Reached 62 percent accuracy with calibrated probability metrics.
Repository
Full stack decentralized app to verify AI generated images on chain.
Processed over 5 thousand images with 99 percent detection accuracy and under 2 seconds latency.
Live App
Working with Ruby on Rails and Docker to support more than 40 thousand users.
Built a Python Pandas pipeline that cleaned faculty data from 17.7 thousand to 9.8 thousand accurate entries and reduced manual processing time by more than 90 percent.
Member of the development team for a large scale PDF remediation and accessibility platform built with AWS and Adobe, supporting over 3 million PDF uploads and improving document accessibility through automated parsing and secure S3 storage.
Designed and implemented a cross system data integration API to POST JSON between independent websites, created JSON to XML importers, produced Swagger documentation, and reduced manual departmental data handling by approximately 60 percent through cross team collaboration.
Developing quantum secure blockchain bridges using QKD, PQC, and validator consensus. Published Research Paper
Integrated HubSpot with a custom UI and improved reporting visibility by 45 percent.
Automated workflows with Power Automate that raised team efficiency by 30 percent.
Languages
Python, JavaScript, C, Ruby on Rails, Solidity, SQL, HTML, CSS
Frameworks and Tools
React, Next.js, Node.js, Flask, FastAPI, Firebase, Docker, AWS
ML and AI
TensorFlow, PyTorch, Scikit learn, LangChain, Pandas, NumPy, LLMs
Other
Git, Figma, Jira, Notion, HubSpot, WordPress, Microsoft 365
IBM AI Agents with RAG and LangChain
IBM Deep Learning and Neural Networks
Google AI and Blockchain Certificate
IBM Machine Learning with Python
Coursera Fake News Detection (ML)
Coursera ML Web App with Streamlit
LinkedIn: https://www.linkedin.com/in/joaovi
GitHub: https://github.com/jvitorbarros15
Email: jvitorbarros15@gmail.com