I translate business pain points into technical workflows.
Leading discovery conversations to identify client pain points and mapping them to tailored AI and technical solution architectures.
Expert at presenting complex technical solutions to non-technical stakeholders, driving retention and revenue through solution-based selling.
Designing end-to-end automation pipelines with operational guardrails, multi-agent orchestration, and structured state tracking.
I sit with the client to map pain points, technical landscape, and success metrics before proposing anything. I define what "solved" looks like in their terms.
I design a tailored solution mapping their requirements to our technical capabilities, with clear ROI projections and a phased implementation path.
I build and present proof-of-concept demos in their environment, not generic slides. Stakeholders see measurable results before any production commitment.
I stay through implementation to bridge engineering and account teams, then drive renewals, upsell, and optimization as the solution matures.
Code Intel
MCP-powered code intelligence that gives AI agents structured awareness of code relationships through AST parsing and dependency mapping, reducing hallucinated edits and enabling pre-change impact analysis.
Multi-Project
Automatic context isolation across 10+ concurrent projects, preventing cross-client data bleed while preserving routing logic, operational clarity, and compliance boundaries.
Workflow OS
A 31-command execution layer with specialist agent routing and structured review flows, proving AI-assisted work can be standardized across teams with consistent, repeatable output quality.
Voice AI
End-to-end voice workflow integrating LLMs with ElevenLabs TTS for automated script-to-audio generation, quality scoring, and compliance review before production delivery.
Human Gates
Stateful automation pipelines with human-in-the-loop approval gates, structured audit trails, and rollback controls for governed AI deployment in regulated environments.
I help teams bridge the gap between AI potential and real-world business results.