z
zacanalt

Zacanalt

@zacanalt

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

Canada
Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
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... Continua a leggere

Competenze

z
zacanalt
Zacanalt
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Automazioni e agenti
I will automate your business with make or zapier integrations
A partire da45 USD / progettoMaggiori dettagli
Data scraping
I will build web scrapers and data pipelines that deliver clean data
A partire da45 USD / progettoMaggiori dettagli

Esperienza lavorativa

Self_Employed

Self Employed

Lavoratore autonomo • 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 • Full time

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.