Forward Deployed Engineer | AI + Lean Six Sigma + Systems Thinking

I analyze existing workflows and break them down into clear, step-by-step process maps to identify inefficiencies and automation opportunities. I restructure repetitive tasks into simplified, logical sequences that reduce time, errors, and unnecessary steps. My focus is practical process clarity that leads directly to implementation. My mapping identifies friction points, redundant steps, and cognitive overload areas. I build systems only after clarifying point A (current state) and point B (target state), reducing blind automation.

I combine Systems Thinking, Lean Six Sigma and AI augmentation to mitigate production inefficiencies while preventing model hallucinations alongside. Services offered include field-modified applications of DMAIC principles towards high-volume production environments with legacy tooling, and SOPs for non-technical stakeholders.

I design structured AI systems that work in the real world.

I convert manual processes into structured, repeatable automation systems that emerge the best of both AI and human operators.

I deploy AI tools across business functions including data extraction, retention systems, voice AI, proposal building, ATS optimization, and macro-augmented workflows. My methodology blends LLM reasoning with deterministic scripting and human-in-the-loop oversight. I prioritize reducing operational drag while preserving human judgment. Tools include ChatGPT, Copilot, Claude, and similar LLM environments integrated into structured pipelines.

I design and deconstruct operational systems at the process, tool, and human-interface layers. Across SANDRA (data extraction), ANGEL (macro-orchestrated UI automation), MARY (retention intelligence), and MADISON (diagnostic CX system), I map end-to-end workflows, identify bottlenecks, and redesign them using HITL-guided AI augmentation. My system analysis approach emphasizes determinism over randomness, reducing hallucination risk by converting prompts into structured frameworks or scripts when possible. I analyze not just tasks, but flow friction, fatigue points, error vectors, and scalability constraints before implementing automation.

I build frameworks to automate repetitive tasks such as data copying, cleaning, reformatting, and report preparation. I focus on reducing manual steps that drain energy when done without any scaffolding.

I design structured extraction, cleaning, and transformation pipelines for business datasets. In SANDRA, I built a 3-phase extraction → processing → cleaning model that converts raw corporate data into usable business assets. My approach integrates LLM-assisted processing with script-based determinism to minimize variability. I prioritize data integrity, version control, and clear output formatting suitable for downstream automation.