Developed an event-driven desktop GUI application in Python for tabular record browsing, filtering, and administration backed by a NoSQL database.

Key Technical Highlights:
• Modular Presentation Layer: Built an event-driven user interface leveraging PyQt widgets and Qt’s Signals & Slots architecture.
• NoSQL Persistence: Managed dynamic document querying, updates, and collection storage with MongoDB via PyMongo.
• Build & Packaging: Configured executable binary generation and dependency management using PyInstaller for standalone local execution.
Repository: https://www.twine.net/signin

Developed a modular virtual assistant in Python designed for hands-free command processing, contextual query resolution, and task automation.

Key Technical Highlights:
• Speech Transcription: Integrated OpenAI Whisper for real-time speech-to-text input processing.
• Task Execution & APIs: Built natural language parsing logic connected to external REST APIs for automated system-level command execution.
• Code Hygiene & Testing: Structured test suites with pytest to ensure command parser integrity and component reliability.

More info here: https://www.twine.net/signin

Engineered and deployed a production-ready bioinformatics web application in R and Shiny for statistical data exploration, quality control, and visualization of DNA/RNA genetic sequences.

Key Technical Highlights:
• Statistical Analytics: Executed multivariate exploratory data routines, real-time dynamic correlation matrices, and gene expression heatmaps.
• Cloud Deployment: Hosted directly on shinyapps.io, providing interactive public access without local environment configuration requirements.
• User-Centric Workflows: Built automated reporting modules for dynamic chart exports and statistical summary downloads.

You can see the deployed demo here: https://www.twine.net/signin

Engineered a layered, modular software architecture following the MVC design pattern for an enterprise ERP system managing inventory, procurement, finance, and user administration.
Key Technical Deliverables:
• Decoupled Architecture: Implemented clean separation of concerns across presentation views, business services, and database persistence layers.
• Data Integrity & Security: Enforced ACID-compliant transactional flows, role-based access control (RBAC), input validation boundaries, and audit logging.
• Database Persistence: Structured and mapped relational schemas across PostgreSQL and SQLite environments.

You can find more details here: https://www.twine.net/signin

I developed an agent to calculate the days between 2 dates given by the user spoken or written. For this project I used Python, Whisper and speech_recognition for the NLP part (to make the app understand the dates given by the user). The second part was to integrate that project with other agents, including a translator, a joke maker, a math solver a unit conversor, a cultural guide, a music app connected to YouTube and a year facts guide connected to Wikipedia. The user had a menu to choose the agent they wanted to use and the app showed the window chosen by the user with the functionality of each agent, which responded the user spoken requests.