Ahnaf Hassan

I’m an Applied AI/ML software engineer with 2 years of experience building LLM architectural research and agentic applications. I focus on turning AI ideas into production systems that are reliable, observable, and fast—especially for real-time, multi-channel user experiences.

Most recently at Brain Station 23, I helped launch Neuraflow, the company’s first subscription AI SaaS, securing enterprise clients and scaling to ~800 production sessions. I also improved qualified engagement by +30% (70% positive feedback across 1,000+ AI interactions) and reduced frontdesk workload by 50% through better AI interaction outcomes and automation.

I’ve owned and built end-to-end agent and platform components—designing RAG and agent orchestration workflows, integrating voice and multimodal capabilities, and managing stateful execution pipelines. I bring an Agile/Scrum mindset (sprint planning, JIRA boards, PR reviews) and strong deployment practices using Docker and cloud infrastructure.

Beyond work, I build independent products like Codeastrix, an AI coding interviewer with a built-in IDE and real-time interview simulation, plus NeuraFlow, an enterprise-grade visual canvas for agent orchestration. I enjoy tackling hard constraints—context limits, latency, accuracy, and cost—by combining structured graph pipelines with robust retrieval, validation, and observability.