z
zacanalt

Zacanalt

@zacanalt

AI automation builds: workflows, chatbots, data pipelines, and agent services

Kanada
Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I design and build AI automation systems for small businesses and startups. If you have repetitive work that moves between tools, a support queue that needs a first-line responder, or data scattered across platforms, I can build the system that handles it. - Workflow automations: connect your tools (CRM, email, sheets) so data flows without manual steps - AI chatbots: grounded in your documents, deployed to your website, WhatsApp, or Slack - Data pipelines: ingest, clean, transform, and deliver data to where you need it - AI agent services: multi-step task automation with human checkpoints... Mehr lesen

Kompetenzen

z
zacanalt
Zacanalt
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Automatisierungen und Agenten
I will automate your business with make or zapier integrations
Ab45 $ / ProjektWeitere Details
Daten-Scraping
I will build web scrapers and data pipelines that deliver clean data
Ab45 $ / ProjektWeitere Details

Arbeitserfahrung

Self_Employed

Self Employed

Selbstständig • 3 yrs 9 mos

AI Software engineer

Jan 2026 - Present • 9 mos

Building Z-Trader, an LLM-powered trading research engine that validates ticker symbols, runs confidence-scored buy/sell signal analysis at multiple horizons, and integrates with Interactive Brokers; deployed on Kubernetes with automated strategy book passes and mirror-ledger reconciliation.

Full stack platform engineer

Dec 2022 - Dec 2025 • 3 yrs

Built and maintain a Unity access-control platform: ASP.NET gateway with gRPC microservices, React portals, Keycloak auth, and a 107-test end-to-end suite covering hardware and software access flows.

University_of Guelph

Technical Manager

University of Guelph • Vollzeit

Feb 2020 - Feb 2023 • 3 yrs

Managing LINCS systems and software development, including establishing development and management environments and protocols. Setting up production systems for data conversion, storage, and dissemination while coordinating software development across the LINCS network to meet researcher needs.