The tools behind connected systems.

This website is built in React, including the interactive brain and Build Your Stack.

Works with: TypeScript, Tailwind CSS

Typed components and structured data (projects, toolkit, blueprints) on this site.

Routing, server rendering, metadata and the sitemap for this website.

The liquid-glass design system on this site.

Client websites and landing pages, including responsive layouts.

Related: VARCENNE Chauffeurs, Star Chauffeur Toronto, Tourcan Vacations

Built and improved client sites with quote and enquiry flows.

Related: VARCENNE Chauffeurs, Star Chauffeur Toronto, Tourcan Vacations

Version control and deployment for this website.

Hosting and production deploys for this website.

Validating data at system boundaries and applying browser security headers, so bad input and untrusted pages can't steer the application.

Experience: URL parameter allow-lists, form input limits and security headers on this website.

Facebook and Instagram campaigns for chauffeur and travel brands.

Related: Star Chauffeur Toronto, Tourcan Vacations

Works with: Landing pages, Lead forms, Analytics

Local visibility work, including profile visuals from real fleet photography.

Related: VARCENNE Chauffeurs, Star Chauffeur Toronto, Tourcan Vacations

Enquiry flows and lead capture connected to campaigns.

Related: Star Chauffeur Toronto, Tourcan Vacations

Works with: Forms, CRM

CTR, CPC, lead, enquiry and booking tracking for campaigns.

Related: Tourcan Vacations

Visual design for client websites and this portfolio.

Related: VARCENNE Chauffeurs, Star Chauffeur Toronto

Posters, promotional graphics and ad creative for travel campaigns.

Related: Tourcan Vacations

Booking, confirmation, payment, invoice and receipt workflows for a chauffeur client.

Related: Star Chauffeur Toronto

Systems for enquiry capture, qualification, routing, follow-up and performance reporting.

Experience: Enquiry handling and lead pipeline support.

Related: Star Chauffeur Toronto

Works with: CRM, Email, WhatsApp

Procedures for airport, VIP, multi-stop, cancellation and wait-time scenarios.

Related: Star Chauffeur Toronto

Claude models for code, analysis and structured reasoning, used interactively and through the Anthropic API.

Experience: AI-assisted development (including this website), workflow analysis, documentation and drafting.

Works with: Code editors, Docs, REST APIs

GPT models for drafting and research, and for assistants that call defined functions.

Experience: Drafting, research, prompt design and planning for marketing and product work.

Connecting language models to external APIs, structured business data and controlled tools to execute multi-step tasks.

Experience: Connected language models to app prototypes through Python and REST APIs, in local and hosted modes.

Works with: Python, REST APIs

Instructions and output schemas that make model responses predictable enough for other systems to validate and use.

Experience: Structured prompts for content, classification and assistant behaviour.

Evaluating and configuring locally hosted language models (Llama, Mistral and Qwen families) for application-specific inference, within the limits of the available hardware.

Experience: Ran Llama- and Mistral-family models locally through Ollama while prototyping an offline-capable assistant. Qwen-family models are being evaluated.

Works with: Python, Ollama API

Speech-to-text in voice assistant prototypes.

Voice output in assistant prototypes.

Scripting, data handling and AI prototypes. Certified through HCL GUVI.

Works with: Flask, REST APIs

Small Python web services for prototypes.

Building and consuming REST endpoints so business systems can exchange data reliably.

Experience: Built and consumed REST endpoints in prototypes.

Programming coursework, certified through Udemy.

Website and technical support at Tourcan Vacations.

Integrating model-serving endpoints with applications, workflow engines and business software through authenticated APIs.

Experience: Called local model endpoints from app prototypes; authenticated endpoints for business software are at design stage.

Works with: Ollama API, REST APIs, Python

Campaign planning, targeting and search advertising concepts.

Audience research, targeting, testing and optimisation at Tourcan Vacations.

Pages built around a single offer and conversion goal.

Local search and social visibility for Toronto service businesses.

Content calendars, destination campaigns and seasonal promotions at Tourcan.

Short-form campaign concepts and reels for social channels.

Website content, captions, ad copy and campaign messaging.

Customer Service Representative at Seneca Recreation.

Tours administration and scheduling at Tourcan Vacations.

Outreach and partnership development for service businesses.

Planning and delivery, backed by the Google Project Management certificate.

Dashboards and reporting workflows that connect business data to operational decisions.

Experience: Tracked and reported campaign, enquiry and booking figures at Tourcan Vacations.

Exploring Grok-powered agents, xAI integrations and tool-connected workflows for research, analysis and operational automation.

Experience: Testing Grok for research and analysis, and the xAI API for tool-connected prototypes. A Grok subscription and xAI API access are separate: the API has its own keys and usage billing.

Works with: xAI API, REST APIs

Configuring Grok-based bots with defined instructions and connected workflows, separate from direct xAI API integration.

Experience: Configuring bot behaviour and testing how it fits into research and content workflows.

Designing coordinated agent workflows that separate research, execution, validation and human approval responsibilities.

Experience: Role-separated agent workflows designed and documented as blueprints in Build Your Stack. Not yet running for a client.

Automation architectures that combine autonomous task execution with validation, exception handling and human oversight.

Experience: Designing agent workflows with human approval steps, documented as the blueprints in Build Your Stack.

Agents that start from a webhook, a new record or a schedule instead of waiting for someone to open a chat.

Experience: Testing scheduled and event-driven runs for briefing and follow-up workflows.

Deciding what an assistant keeps between sessions, what it retrieves on demand and what it should never store.

Experience: Explored how assistants keep useful context between sessions.

Comparing models on task quality, latency, context length, licence terms and running cost before choosing one for a workflow.

Experience: Comparing hosted and open-weight models on the same prompts during prototyping.

Cross-platform mobile app prototypes.

Works with: Firebase

Authentication and storage in app prototypes.

Retrieving relevant passages from approved documents with embeddings and a vector database, then grounding model answers in them.

Experience: Exploring retrieval pipelines for knowledge assistants; the design is documented in the Internal Knowledge Assistant blueprint.

Works with: Vector databases, Embeddings models

Running quantized model formats to fit larger models into limited memory, trading some quality for speed and cost.

Experience: Testing quantized models to compare answer quality against memory use and speed.

Containerised, reproducible model-serving environments on Linux hosts, with the model, runtime and API packaged together.

Experience: Containerising local model-serving setups so tests can be repeated on other machines.

Starting workflows from events in other systems, with signature checks, idempotency and retries.

Experience: Designing event-driven triggers for the Build Your Stack blueprints.

Classifying incoming documents and extracting fields into structured records, with low-confidence results sent to a person.

Experience: Designed as the Document Intake blueprint in Build Your Stack.

Connecting controlled language-model inference with document retrieval, embeddings and permission-aware knowledge access.

Experience: Designed as the Internal Knowledge Assistant blueprint: answers drawn only from approved documents, with access following existing permissions.

Designing model-serving environments around GPU resources, inference endpoints, memory requirements and performance monitoring, on dedicated or cloud GPUs.

Experience: Planning GPU memory, latency, throughput and cost trade-offs; studying for NVIDIA AI Infrastructure and Operations. Not yet deployed for a client.

High-throughput serving with request batching and KV-cache memory management, exposed through an OpenAI-compatible API.

Experience: Studying serving architectures and their monitoring needs before a production deployment.

Logging each automated step, retrying safe failures, alerting on the rest and keeping an audit trail of who approved what.

Experience: Specified in the error-handling and security sections of every Build Your Stack blueprint.

Approval checkpoints, exception handling and accountable oversight built into automated work.

Experience: Designed into every Build Your Stack blueprint: what the system drafts, who approves it and what gets logged.