Alan Cyril

About Alan Cyril

AI Systems Engineer focused on designing and building scalable Generative AI and LLM-powered systems.My work centers on developing production-grade AI platforms, including LLM applications, RAG pipelines, and intelligent AI agents. I specialize in building distributed AI services and high-performance machine learning systems with GPU acceleration.I combine strong software engineering fundamentals with modern machine learning to design reliable, scalable systems that bring AI capabilities into real-world products.My areas of focus include:• Generative AI and Large Language Model (LLM) systems• Retrieval-Augmented Generation (RAG) architectures• AI agents and autonomous development tooling• Distributed AI systems and backend infrastructure• GPU-accelerated machine learning and performance optimizationTechnologies I frequently work with include Python, PyTorch, CUDA, FastAPI, Docker, vector databases, and modern AI infrastructure tools.I enjoy working on challenging engineering problems where machine learning, distributed systems, and performance optimization intersect.Open to opportunities in AI Systems Engineering, Generative AI Engineering, and LLM Infrastructure development.

Experience

1. Open Source Contributor

   Open Source

   Jan 2018 — Present

   Contribute to open-source software across AI/ML systems, backend development, and developer tooling.• Build experimental AI utilities including LLM-based applications, automation agents, and ML tooling.• Maintain and collaborate on multiple repositories focused on AI engineering, system design, and full-stack software development.• Work with the developer community to improve open-source AI tools and engineering workflows.

Education

• Mahatma Gandhi University, Kerala, India

  Master's degree, Computer Science

• Mahatma Gandhi University, Kerala, India

  Bachelor's degree, Chemistry