Software Developer | Exploring AI & Machine Learning

I'm a software developer with a growing focus on AI and machine learning, building applications using Python, C#/.NET, React, TypeScript and APIs.

My projects range from LLM-powered and data analysis to full-stack and backend systems. I'm currently deepening my foundations in machine learning, AI theory and model evaluation.

I'm interested in opportunities where I can continue growing as a developer while applying my software engineering skills to AI or full-stack software projects.

Programming	Python · C# · TypeScript · JavaScript
Backend	.NET · FastAPI · Node.js
Frontend	React · Vite · CSS · Tailwind · HTML
AI & Data	LLMs · Data Analysis · SQL
Tools	Git · GitHub · REST APIs · VSCode · Visual Studio · Docker · Linux

AI / LLM · Python · FastAPI

An AI-powered application exploring the integration of LLM capabilities into a practical software system.

Focus: AI applications · APIs · Python · LLM integration

AI Ethics · Data Analysis · Responsible AI

An analysis exploring fairness and potential bias in AI-assisted hiring, investigating how automated decision-making can affect different groups.

Focus: AI ethics · data analysis · fairness · responsible AI

Full-Stack · C# · .NET · React · Vite · CSS

A full-stack application combining a .NET Minimal API backend with a modern React/Vite frontend.

Focus: REST APIs · backend development · React · full-stack architecture

I've also worked on applications involving:

C# / .NET

• Hotel management system
• Travel booking system
• Healthcare application
• Trading application
• Other database-driven applications

TypeScript · JavaScript · Node.js · React

• Movie Theater Booking System

MySql

• Veterinarian System Database

These projects reflect my progression from application development toward full-stack and AI-focused software engineering.

• AI & LLM Applications experimenting with LLMs, AI-powered features, APIs and practical ways to integrate generative AI into software
• Machine Learning - building a stronger foundation in supervised and unsupervised learning, neural networks, model training and evaluation
• Responsible AI - exploring fairness, bias, transparency and the challenges of evaluating and deploying AI systems responsibly
• Full-Stack Development - designing thoughtful user experiences with complete applications across modern frontend technologies, APIs, backend architecture and databases

I'm particularly interested in learning more about LLM-powered applications, AI evaluation, backend architecture and the responsible use of AI in software. My passion is in the integration of leadership, equitability and innovation.

If you're interested in AI, software engineering, or building interesting products, feel free to connect.