About Me
I'm a 19-year-old Computer Science student at Western University, specializing in AI, machine learning, and automation.
Professionally, I'm a Global Wealth Management Intern at Scotiabank, where I build Python tools and Excel automations to streamline compliance and lead generation workflows. Previously, I worked at Autumn, helping shape growth strategy through market sizing and financial modeling.
In the upcoming school year, I'll be serving as VP of Cybersecurity for Western Cyber Society and a Project Manager for Western AI, where I'll lead initiatives focused on applied machine learning and cybersecurity innovation.
Born in Brazil and now based in Canada, I'm passionate about solving real-world problems through code, machine learning, and technical innovation.
Interests: Machine Learning & AI, Cybersecurity, Weightlifting, Golf, American Football, Grunge & Classic Rock, Ancient History, Star Wars, Dune.
Work Experience
Scotiabank
Developed Excel Macros and VBA scripts to automate manual compliance and client onboarding processes, resulting in a collective time savings of over 1 hour per day for the team.
Engineered Python-based web scraping tools to aggregate and qualify new client leads from public financial registries and business directories, enhancing the efficiency of outreach campaigns.
Integrated external financial data into internal pipelines, supporting data-driven wealth management strategies.
Conducted in-depth research on fixed income investment strategies, analyzing yield curves, credit spreads, and duration to inform portfolio construction and risk management decisions.
Autumn is a seed-funded startup based in New York that operates an end-of-life digital marketplace, connecting bereaved communities with service providers to manage life after loss.
Conducted Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) analyses to refine market strategy, uncovering a 15% underserved customer segment in the end-of-life services industry.
Built dynamic financial models to forecast future earnings under various pricing strategies, directly supporting the launch of a tiered subscription model projected to increase revenue by 20%.
Researched and evaluated monetization strategies across adjacent industries, informing long-term growth planning and investor pitch materials.
Performed market sizing and competitive landscape analysis to benchmark product viability and identify expansion opportunities.
NX Media
Social Media Marketing Agency for E-commerce businesses.
Projects
September 2024 – March 2025
AI-powered system designed to detect AI-generated voice clones used in phone scams and cyberattacks, leveraging machine learning techniques to analyze audio files and identify synthetic speech with high accuracy.
Led a team of 5 developers to build a full-stack cybersecurity solution that detects AI-generated voice scams in real-time. Processing raw audio with Mel spectrograms & LFCC features, training a ML model to classify real vs. cloned voices.
Using random forest, the model achieved over 87% accuracy. Won the Best Real-World Application Award at Toronto Tech Expo, sponsored by Slalom.
March 2025
Developed as part of the Design and Innovation Challenge hosted by Western University Engineering Faculty and sponsored by General Motors.
Real-time road user detection system using thermal imaging technology, specifically designed to improve pedestrian and cyclist safety in low-visibility conditions by detecting and classifying pedestrians, bicycles, and vehicles.
Implemented Faster R-CNN with ResNet50-FPN backbone, achieving 87% mean average precision and high detection accuracy across different classes.
October 2024 – April 2025
A machine learning-based system for predicting bus arrival times in London, Ontario. This project uses a Bidirectional LSTM neural network to provide accurate predictions for various bus routes.
Led a team of six developers in collaboration with the Mobility Technology (MoTech) research group under Dr. Yili Tang at Western University.
Integrated real-time bus location data from the City of London transit portal and incorporated weather APIs to refine prediction accuracy.
March 2025 – April 2025
A virtual pet simulation game developed using Java 23+, featuring interactive pet care mechanics and parental controls.
Built with Java Swing and AWT for the user interface, the project implements data persistence through CSV files and includes comprehensive unit testing with JUnit 5.
The game demonstrates our team's ability to create engaging applications while maintaining clean code architecture and following agile development principles.
June 2025
Modern, responsive personal portfolio website built with Next.js and featuring advanced animations and interactive elements.
Showcases professional experience, projects, and technical skills with a dark theme design inspired by modern web applications.
Implements smooth scroll animations, flickering grid backgrounds, and shimmer button effects for an engaging user experience.
August 2024 – September 2024
Developed a Python-based tool for options pricing, profit and loss (PnL) calculation, and real-time financial data integration.
This project uses the Black-Scholes model to price European call and put options, along with custom-built modules to track and analyze option portfolios.
By integrating with the Yahoo Finance API, the tool ensures accurate and real-time market data to enhance the precision of options pricing and PnL calculations.
Technical Skills
Languages:
Python, Java, C, SQL, JavaScript, TypeScript, R, VBA
Frontend:
HTML/CSS, JavaScript, React.js
Backend:
Python, Java, C, Node.js, Flask, FastAPI
Frameworks:
Next.js, TailwindCSS, Framer Motion
Machine Learning & AI:
PyTorch, scikit-learn, Hugging Face
Data Science & Analytics:
Pandas, NumPy, Streamlit, Google Analytics, Kaggle
Data Visualization:
Excel, PowerBI, R, Matplotlib
Design:
Figma, Canva
Tools & Methodologies:
UNIX, VS Code, Git, GitHub, Gitlab, Agile, Scrum, Jira, RESTful APIs, Docker, MS Access
Extracurricular Activities
Western Developers Society
Leading a team of six developers in collaboration with the Mobility Technology (MoTech) research group under Dr. Yili Tang at Western University. Leveraging machine learning to enhance bus arrival time predictions in London, Ontario.
Western Cyber Society
Led a team of 5 developers to build a full-stack cybersecurity solution capable of detecting AI-generated voice scams in real-time, achieving over 87% accuracy using a Random Forest classifier.
Presented technical workshops on cybersecurity topics, educating peers on emerging threats and defensive strategies.
The project, VocalGuard, won the Best Real-World Application Award at the Toronto Tech Expo (TTE), sponsored by Slalom Consulting.
Western Quantum Club
Collaborated on a research project applying quantum computing techniques to portfolio optimization, formulating the problem as a QUBO (Quadratic Unconstrained Binary Optimization).
Utilized cleaned 5-year historical data from sector ETFs via Yahoo Finance API and conducted sensitivity analysis across return assumptions.
Implemented a simulated quantum optimization pipeline to minimize portfolio risk and maximize expected return under realistic constraints.
Applied Sharpe ratio evaluation, volatility clustering insights, and multi-asset covariance modeling for constructing robust portfolios.
Presented findings to the club, showcasing a practical quantum finance use case with future scalability toward higher-order moment-based modeling and quantum options pricing.
Ivey Fintech
Served as a pro-bono consulting analyst for Venn (formerly Vault), a fintech startup offering SME-focused multi-currency corporate cards and invoicing tools.
Conducted extensive market sizing analysis, including demographic targeting and SME segmentation, to identify expansion opportunities across Canada.
Benchmarked Venn's product suite against leading competitors (e.g., Wise, Brex, Float), identifying feature gaps and value-added service opportunities.
Delivered strategic recommendations on go-to-market tactics and positioning, contributing to Venn's successful $21.5M Series A funding round.
Collaborated in client communications, report development, and final presentations to executive stakeholders.