A passionate Computer Science major with a strong interest in Software Engineering and AI/ML
- 🎓 I’m currently studying Computer Science at San Jose State University
- 💻 I’m passionate about Artificial Intelligence, Machine Learning, and Software Engineering
- 🌱 Currently learning Pandas, Python, and scikit-learn
- 🤝 Open to collaborating on exciting and impactful projects
Here are some of the tools and technologies I have worked with:
📌 MVCApps (https://github.com/ntalasu/mvcApps)
Description: Created a reusable Java MVC framework powering multiple modular applications with clean separation of concerns.
Tech Stack: Java
Impact: Simplifies the development of GUI-based applications by providing a plug-and-play architecture with built-in support for views, controllers, file handling, and state management.
📌 SmartBox (https://github.com/ntalasu/SmartBox)
Description: Built a GUI-based Java application to simulate smart parcel management using dynamic stack and queue structures.
Tech Stack: Java, Swing
Impact: Models real-world logistics scenarios by managing box operations (enqueue, dequeue, push, pop) with interactive visual feedback, helping users understand data structure behavior in practical applications.
📌 Echo (https://github.com/ntalasu/Echo)
Description: Built a multithreaded client-server system in Java with dynamic request handling, including math, proxy, cache, and security features.
Tech Stack: Java, Swing
Impact: Enables efficient, secure, and extensible communication between clients and servers by handling concurrent requests and integrating modular features like math services, caching, proxying, and encryption.
📌 SimStation (https://github.com/ntalasu/simStationProject)
Description: Took the lead in implementing multi-agent behaviors and threading in Java; developed key simulations, including Plague and Prisoner’s Dilemma using MVC design.
Tech Stack: Java, Swing
Impact: Uses multithreading to run multiple agents at the same time, making the simulations faster and more realistic.
Description: Contributing to an AI-driven book recommendation system using BERT, LangChain RAG, and LLAMA LLM, focusing on model fine-tuning and UI enhancements.
Tech Stack: Python, BERT, LangChain RAG, and LLAMA LLM
Impact: Represents a significant advancement in book recommendation technology by transitioning from traditional, static filtering methods to a dynamic, semantic-driven approach.
Outside of tech, here’s what I love doing:
- 🌍 Traveling the world
- 🧁 Baking
- 🏆 Leadership roles in BreakThrough Tech
Let’s connect and build something amazing!
⭐️ Thanks for visiting my profile! Feel free to check out my projects and reach out to collaborate or chat tech.