A Backend Developer passionate about leveraging AI and LLMs to build intuitive mobile apps that simplify complex domains like FinTech. Takes pride in writing clean, efficient, and user-first code, with a proven ability to make a rapid impact in agile, product-driven teams.
PHP, Node.js, Express.js, RESTful APIs, EJS, JSON, Ruby on Rails, Ajax
Python, JavaScript (ES6), Java, C#, Dart, Ruby, TypeScript
PostgreSQL, postgres, MySQL, SQLite, MSSQL, NoSQL, phpMyAdmin, Excel
Git, GitHub, GitKraken, Bitbucket, Jira
AWS (EC2, RDS, S3, Cloud9, CLI), MongoDB, Render, Vercel, SupaBase, Microsoft Azure
Android (Java), Android SDK, Android Studio, Camera APIs, TensorFlow Lite, cross-platform basics (Flutter), REST on mobile, JSON parsing, async operations (threads, callbacks)
A mobile app that uses prompt engineering for semantic search, delivering highly personalized and context-aware financial advice from a user's transaction data. Developed user data feeds for data integration, and backend APIs for a mobile financial assistant app, integrating transaction data and third-party services. Developed backend APIs consumed by iOS and Android mobile clients.
Tech Stack: Node.js, JavaScript, Express, REST APIs, JSON, Ollama, MySQL, MSSQL, Go, Azure, Docker, Amazon EC2, Amazon RDS, OpenAI
A custom chatbot prototype with a personality fine-tuned through creative prompt engineering. Designed to simulate my digital persona and interact with users in a unique, engaging manner.
Tech Stack : React, TypeScript, Express.js, Node.js, MongoDB, JSON, NoSQL, Open AI, Render, HTML, CSS
An end-to-end computer vision system to automate the detection and analysis of specific animals (e.g., raccoons) in large-scale image datasets. Data preparation, cleaning, and labelling of datasets. Designed for environmental monitoring and pest control.
Tech Stack: YOLOv8, TensorFlow, Python, Matplotlib Pyplot, Pandas, Numpy
Built a mobile app in Android Studio (Java) with TensorFlow Lite and YOLOv2 for real-time camera detection. Implemented asynchronous camera processing, image pipelines, and optimized model performance for mobile. Used Android SDK components, Gained experience with modern Android app patterns and began applying MVVM principles to structure components.
A polished, fully functional mock e-commerce platform for jungle-themed apparel, built to emulate real-world online retail workflows. Features include product browsing, cart management, secure checkout, admin dashboards, and robust testing coverage.
Tech Stack: Stripe Api, Ruby on Rails, JavaScript, Cypress, PostgreSQL, RSpec
A multidisciplinary program combining Computer Science, Artificial Intelligence, and UX Design. Coursework and projects explored topics such as mobile development, Object-Oriented Programming (OOP), and Data Structures & Algorithms.