Capabilities & Approach
Conversational AI delivery, customer operations, and automation: what I work on and how I approach it.
Conversational AI Delivery
- Voicebot & chatbot deployment
- Multi-turn dialogue flows
- NLU intent tuning
- Audio normalization & denoising
- PRD audit & configuration preparation
Tools
- React
- TypeScript
- ExcelJS
- JSZip
Systems & CX Engineering
- Support administration & API integration
- CX reporting & SQL dashboards
- Incident alerts & webhooks
- CRM migration & support intake
- SLA rules & ticket routing
Tools
- Zendesk
- Redash
Programming & Automation
- Python utilities & SQL data extraction
- AI-assisted development: defining tasks, guiding coding agents, reviewing changes, and validating results.
- Web development
- Version control
Tools
- Python
- SQL
- Codex
- Antigravity
- Astro
- HTML
- CSS
- JavaScript
- Git
- GitHub
How I solve problems
From operational bottleneck to a tested workflow.
-
Deconstruct
Find the bottleneck and understand the constraints.
-
Systemize
Turn repeatable work into a tool or workflow.
-
Calibrate
Test edge cases and refine the behavior.
-
Monitor
Watch operational signals and identify the next improvement.
Production feedback returns to Deconstruct for the next iteration.
In practice: Hephaestus Studio
- Bottleneck:
- PRD review, recording preparation, audio routing, and telephony configuration across separate steps.
- Change:
- A browser-based workspace brings dialogue auditing, recording scripts, and audio-variable mapping into one guided pipeline.
- Output:
- A packaged export containing reviewed PRDs, recording scripts, routing tables, telephony configurations, and audit logs.