AI is not a replacement tool
Implemented end-to-end RevOps strategy aligning sales, marketing, and customer success teams.
Customer Experience & UX
Use AI to speed up exploration of copy, flows, and information architecture, then pair those ideas with data and research so the final experience converts better without losing trust or clarity for customers
Decision Support
Use AI to stress test revenue scenarios, pricing changes, and capacity plans before they hit the real world, turning raw data into clearer options and trade offs rather than replacing human judgment
Workflow & Ops Efficiency
Apply AI inside workflows to automate repetitive, low‑leverage parts of operations such as summaries, routing, and documentation so teams spend more time on decisions that actually move revenue
Featured AI Projects
Medical Report Generator
AI‑assisted document generation for medical reports, built with tight constraints to avoid hallucinations and keep every output clinically and legally safe.
OpenAI API
Chatbot Interface
Branding Guidelines
GDPR & HIPAA Compliant
Results
Enables doctors to dictate findings through a chat interface and receive a structured, on‑brand medical report in seconds
Standardized report structure and language across clinicians, improving readability for both patients and other medical teams
Uses strict prompts, templates, and validation rules to minimize false or invented content
Designed around GDPR and HIPAA principles so no protected health data is exposed outside compliant systems
Lead & Support Routing Chatbot
AI chatbot that automatically routes leads and support requests so teams receive clear, actionable tasks instead of raw messages
OpenAI API
Chatbot Interface
CRM & Helpdesk Integration
GDPR & HIPAA Compliant
Results
Consolidates messages from email, website chat, and social channels into structured tickets with key context already extracted
Standardized report structure and language across clinicians, improving readability for both patients and other medical teams
Automatically resolves simple requests such as duplicate invoices or basic FAQs, giving customers answers without staff intervention
Improved operational efficiency and customer satisfaction by eliminating repetitive tasks and speeding up first response
KPI Analysis App
AI‑assisted KPI analysis tool that turns raw operational data into connected, decision‑ready insights for non‑analysts
Codex
On-Prem App
GDPR & HIPAA Compliant
Results
Lets admins upload raw exports from sources like analytics, finance, and customer feedback and receive clear, narrative insights
Runs within our own infrastructure to respect GDPR and data‑privacy requirements
Connects metrics across channels and systems so operators see the full picture of performance, not isolated dashboards
Unlocked a level of insight that would have previously required dedicated analysts or significant external tooling
My Approach
Data & Information Architecture
Structure data, templates, and taxonomies so AI systems always know where to look and how to respond
Standardize formats and naming so outputs stay consistent across teams, channels, and use cases
Design information flows that are auditable and compliant, not just convenient for a single tool
Test, Learn, Optimize
Treat every change (campaigns, pricing, operations) as an experiment with clear success metrics and timelines
Use data to shift resources toward high-intent, high-ROI channels and away from low-yield efforts
Simplify processes so improvements hold under real conditions, not just in ideal scenarios
Diagnosis & Insight
Map the full funnel (audience → website/app → leads → revenue) to understand where value is actually created
Focus on metrics tied to revenue, efficiency, and customer value, not vanity KPIs that don’t drive decisions
Translate data into a small set of actionable questions the team can use, instead of complex dashboards
Areas of Expertise
AI Strategy for Ops & Revenue
Connect AI initiatives directly to revenue, cost, and risk, deciding where automation truly adds value and where human ownership must stay central
AI‑Ready Information Architecture
Design data structures, taxonomies, and interfaces so AI systems can reliably access, interpret, and act on information without breaking workflows
Human‑in‑the‑Loop Systems Design
Build AI tools where humans review, override, and improve outputs, ensuring that automation amplifies expert judgment instead of replacing it
Governance, Risk, and Compliance for AI
Define guardrails, permissions, and data handling practices so AI use stays aligned with GDPR, security, and domain‑specific regulations
Tools & Technologies
AI Platforms & Models
OpenAI
Anthropic
Perplexity
Self-Hosted LLMs
Data & Integration Layers
BigQuery
AI APIs
Webhooks
Zapier AI Actions
Orchestration & Automation
Make.com
Zapier
n8n
Python (Basic)
Product & Interface Layer
Custom Web Apps
Chat Interfaces
WhatsApp Bots
How does UX & UI play a role in this...?
Most AI failures are UX failures. Systems break down when: the interface hides what the AI can and cannot do, people don’t know what to input, or outputs are hard to read, trust, or act on.
Combining AI expertise with UX & UI lets you design and implement:
- Interfaces that guide good prompts, not just show a chatbot
- Flows that turn AI outputs into next steps, not dead ends
- States and feedbacks that build trust, not confusion
