AI Deploy Network
TB

AI Deploy Network / Builder

Terry Jr Benjamin

Software Engineer | AI Automation, Backend Systems, APIs

Antigua and BarbudaSenior

Published evidence

1 AI Deployment

1 publicly identified

1 Case Study

Published implementation narrative

01

About Terry

I build automation and backend systems that turn manual business workflows into reliable software. Most of my work sits around Python, APIs, webhooks, validation, data processing, and applied AI with clear guardrails.

Recent work includes a finance reconciliation and reporting tool that converts inconsistent PDF statements and financial system reports into validated Excel outputs, a Railway-hosted FastAPI service that connects monday.com with QuickBooks Time, and an Expensify pipeline that normalized 1,100+ expense rows. I also work across full-stack product builds, including MOMI, where I own provider web flows, consumer app architecture, and the backend model.

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I care about systems that work after the demo: idempotency, logs, failure reasons, human review where needed, and documentation non-technical teams can use.

Professional profile

Location
Antigua and Barbuda

02

Proven on the network

Implementation records and publicly available work, where published.

1 AI Deployment delivered, including 1 publicly identified implementation available to inspect.

03

What Terry builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

Workflow Automation

Builder-listed deployment types

  • Workflow Automation

04

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

Financial Reconciliation and Reporting Automation

Python automation that converts inconsistent financial PDF statements and raw system reports into structured Excel reconciliation and reporting outputs for finance staff.

Government · Workflow Automation

View Deployment

05

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

  • Workflow Automation2 records

Builder declared

    No additional declared items.

    06

    Technology

    Technologies listed by the Builder, distinguished by published evidence.

    Evidence-supported

    • Pandas1 record
    • Python1 record

    Builder declared

    • Docker
    • FastAPI
    • GraphQL
    • JavaScript
    • LangChain
    • Make
    • MongoDB Atlas Vector Search
    • Playwright
    • PostgreSQL
    • Railway
    • React
    • Supabase Vector
    • TypeScript
    • Zapier MCP
    • monday.com
    • n8n

    07

    Industry experience

    Published Deployments support the listed counts. Other industries are Builder declared.

    Government

    1 published Deployment

    BPO & Shared Services

    Builder declared

    FinTech

    Builder declared

    Healthcare Providers

    Builder declared

    Software & SaaS

    Builder declared

    08

    Case Studies

    Published narratives of implementation and results.

    Government · Workflow Automation

    Turning inconsistent finance documents into validated reporting workbooks

    A finance team needed a repeatable way to turn inconsistent statements and raw reporting exports into structured Excel workbooks for reconciliation and annual reporting. I built the automation around the actual business rules instead of forcing staff into a technical workflow.

    Read case study

    09

    Trust & verification

    A closer look at how this profile and its evidence are reviewed.

    Community Member

    AI Case Studies verified

    Published evidence is reviewed against the AI Deploy Network Evidence Standard.

    How verification works
    Community

    Verified Builder

    Independently reviewed by AI Deploy Labs against the platform Evidence Standard.

    • AI Case Studies Verified
    How this is verifiedWhat the platform has established, and what remains builder-declared.
    Identity and organisation
    Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
    AI Deployments
    An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
    Business outcomes
    Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
    Evidence
    Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
    Currency
    Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
    Traceability
    Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

    The platform does not independently audit client systems or financial records. How this is verified

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