Dynamic engineer bridging biotech reliability with cutting-edge AI innovation. With 6+ years in field service for clinical diagnostics and lab automation at Roche and Haemonetics, I've honed root-cause analysis, system optimization, and cross-functional collaboration—skills that now fuel my independent AI/ML development. Over the past 2 years, I've architected and prototyped advanced AI tools on my own, tackling real challenges in prompt engineering, model orchestration, and ML. Notable projects include Anno, a persistent-memory framework maintaining long-term context across frontier LLMs to enable hive-mind collaboration, and KPS4, a no-code ML designer with auto-generation and live reinforcement-learning awards management. I've also built MCP-based multi-tenant AI servers with vector search, real-time WebSockets, and hierarchical indexing for cross-device persistence. These prototypes run on local hardware with cost-aware routing and observable metrics. My background in IoT and IT underpins robust, user-centric systems, and I am passionate about aligning models with business outcomes. I'm seeking Prompt/ML Engineer roles to deploy these innovations at scale and am open to collaborations on agentic systems, memory architectures, or ethical ML, including potential co-founders.…Dynamic engineer bridging biotech reliability with cutting-edge AI innovation. With 6+ years in field service for clinical diagnostics and lab automation at Roche and Haemonetics, I've honed root-cause analysis, system optimization, and cross-functional collaboration—skills that now fuel my independent AI/ML development. Over the past 2 years, I've architected and prototyped advanced AI tools on my own, tackling real challenges in prompt engineering, model orchestration, and ML. Notable projects include Anno, a persistent-memory framework maintaining long-term context across frontier LLMs to enable hive-mind collaboration, and KPS4, a no-code ML designer with auto-generation and live reinforcement-learning awards management. I've also built MCP-based multi-tenant AI servers with vector search, real-time WebSockets, and hierarchical indexing for cross-device persistence. These prototypes run on local hardware with cost-aware routing and observable metrics. My background in IoT and IT underpins robust, user-centric systems, and I am passionate about aligning models with business outcomes. I'm seeking Prompt/ML Engineer roles to deploy these innovations at scale and am open to collaborations on agentic systems, memory architectures, or ethical ML, including potential co-founders.WWWW…