Flynn Lachendro

Technical Expertise

Hi! I’m Flynn, AI Developer with a passion for building scalable, high-performance AI systems and multi-agent architectures. I bring a hybrid background of academic research and applied engineering, with a PhD in Biomedical Engineering from the University of Strathclyde and hands-on experience delivering cutting-edge AI solutions across the education, healthcare, and finance sectors.

I specialise in designing and deploying LLM pipelines — including prompting, RAG, fine-tuning, and evaluation. My work often bridges different backend technologies (Supabase, TypeScript, Python, LLM APIs) to create robust, production-ready solutions.

Development Philosophy

For me, the most exciting part of AI development is integrating reasoning workflows into practical products, whether through agentic systems or human-in-the-loop designs that harness both machine power and human insight.

Areas of Expertise

• Large Language Models (LLMs) & RAG systems
• Multi-agent architectures & orchestration
• Backend engineering & API pipeline design
• Cloud infrastructure & deployment
• Human-in-the-loop systems & evaluation frameworks
• AI performance optimisation (accuracy, latency, cost)

Project Highlights

Rubrical.ai

An AI-driven assessment platform developed in collaboration with OpenKit, designed to help educators reduce marking time while maintaining high-quality feedback — combining LLMs, custom evaluation pipelines, and human-in-the-loop workflows.

AI Agent Systems

Developed multi-agent systems that coordinate reasoning tasks through composable LLM calls, enabling sophisticated decision-making and content generation across enterprise use cases.

About Me

Outside of development, I’m fascinated by cognitive science and the intersection of human and machine intelligence. I enjoy exploring ideas that connect technology to how we think, learn, and create — and I’m always up for a conversation about the future of AI.

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