🎯 About Me

I'm a Full Stack Developer with a strong focus on backend technologies like .NET, Ruby on Rails, and PostgreSQL. My passion lies in building high-performance distributed systems and optimizing algorithms for real-time operations. I also have hands-on experience integrating AI/ML models and building RAG pipelines with LLMs.

Just Finished Master’s in Artificial Intelligence in Dublin, I’m combining my strong development background with applied AI to solve complex, data-driven problems.

🛠 Tech Stack & Tools

• Languages: C#, Ruby, Python, JavaScript
• Frameworks: .NET 8, Ruby on Rails, Node.js, React
• DevOps: Docker, Terraform, GitHub Actions, GCP
• Data: PostgreSQL, Redis, T-SQL, Geohashing
• ML/AI: TensorFlow, Temporal Fusion Transformer, LLM-based RAG pipelines (Vanna AI)
• Other: LINQ, SuiteScript (NetSuite), CI/CD, Caching Strategies

💡 Key Achievements

• ⏱ 40% speed boost in real-time operations by optimizing rider algorithms and caching with Redis.
• 🚚 35% reduction in fuel usage & delivery time with route and dispatch algorithm improvements.
• 📊 Built a RAG pipeline for carbon emission summaries using SQL + LLM + Vanna AI.
• ⚙️ Migrated legacy systems to .NET 8 and achieved 98% uptime through robust CI/CD.
• 📈 Improved client-side load times by 28% and search conversions by 30% in previous roles.

🌱 Currently Learning

• Foundation models for structured data
• Applied AI in logistics
• Advanced vector databases for RAG pipelines

👨‍🏫 Mentorship I actively mentor junior developers, focusing on clean architecture, testing, and career progression in .NET and Rails environments.

🤝 Let's Connect I'm open to collaborations in AI + Software Engineering, technical mentoring, or consulting on .NET modernization projects.

🧠 “Code that works is good. Code that works, scales, and is readable is better.”