Hi, I’m Natasha Robinson, a passionate Full Stack Software Engineer specializing in AI-powered Blockchain and FinTech solutions. I’ve led the development of innovative projects like the Mango personal finance assistant and the Nexus Router that optimize decentralized financial processes using cutting-edge technologies such as Python, React.js, and Web3.py. I’m driven to design intelligent, real-time applications that are scalable and user-friendly.
I enjoy combining my expertise in blockchain, AI, and machine learning to create impactful digital products that empower users and streamline financial technology. I’m always excited to collaborate on innovative projects at the intersection of finance and technology and to learn new skills along the way.
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Engineered an AI-powered FastAPI backend for real-time, cross-chain transaction optimization across major EVM networks.
Integrated Web3.py and CoinGecko API for live gas/token data, enabling precise USD cost estimations.
Utilized Google Gemini API to provide transparent, natural language explanations for routing recommendations.
Built an intuitive Streamlit dashboard for visualizing real-time blockchain metrics and recommendations.
A python based project, published at the 2024 ICRITO Conference. This program uses machine learning to predict the defaulter score of a loan applier, on the basis of all the features traditional banks take into account ss well as provide valuable insights on the same.
A dual CRM platform for dieticians and their customers to handle weekly diet plans, track daily progress and have interoperability between all the pages and features.
Mango is a personal finance assistant that keeps a full user profile including - your income, savings, investments, debts and a complete financial overview as well as provides AI insights like budget anomaly detection and AI budget optimizer. It can also create multiple groups for managing group expenses, give a financial report of all of your expenses and also has specialized planners for all budgeting needs along with an AI chatbot. The entire project was made using - React.js, JavaScript, HTML, CSS, MySOL, Firebase, Firestore, Machine Learning.
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