AI Deploy Network
Jasper Gabriel

AI Deploy Network / Builder

Jasper Gabriel

Lead Software Engineer

PhilippinesLead

Published evidence

1 AI Deployment

1 publicly identified

1 Case Study

Published implementation narrative

01

About Jasper

With a 8-year track record in software engineering and 4 years in blockchain, I excel in backend systems design and Web3 integrations. My expertise encompasses building and maintaining production-grade microservices for fintech and crypto applications, including FATF-compliant Travel Rule solutions, escrow smart contracts, and fiat-to-crypto payment systems. I am also a dedicated advocate for engineering excellence, actively driving security audits, infrastructure migrations, and technical documentation standards across fast-paced startup environments.

Professional profile

Location
Philippines

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.

Reported business outcomes
  • Hours Automated20 hours

    period not specified

    Automated 20 hours (period not specified)

Builder-reported outcomes, recorded on deployment and case study records that AI Deploy Network reviewed before publication. AI Deploy Network does not currently capture a measurement basis or calculation methodology for reported outcomes, so none is shown.

03

What Jasper builds

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

Specialisations

Agentic Workflows

Builder-listed deployment types

  • AI Orchestration
  • Code Generation
  • Code Review Assistant
  • Internal Developer Tooling
  • QA & Testing Automation

04

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

AI Orchestration for Agentic Software Engineering Workflows

An internal AI orchestration implementation to automate implementation, code reviews, and QA testing.

20 hours automated

Software & SaaS · AI Orchestration · Code Generation · Code Review Assistant · Internal Developer Tooling · QA & Testing Automation

View Deployment

05

Implementation capabilities

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

Evidence-supported

  • AI Orchestration2 records
  • Code Generation2 records
  • Code Review Assistant2 records
  • Internal Developer Tooling2 records
  • QA & Testing Automation2 records

Builder declared

  • Agentic Workflows

06

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

  • Anthropic Claude2 records
  • Claude Code2 records

Builder declared

  • AWS
  • Auth0
  • ClickUp
  • Cloudflare
  • Cognito
  • Confluence
  • Docker
  • DynamoDB
  • Express
  • FastAPI
  • Google Cloud
  • Heroku
  • Linear
  • Microsoft Azure
  • Node.js
  • Notion
  • PostgreSQL
  • Python
  • React
  • TypeScript

07

Industry experience

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

Software & SaaS

1 published Deployment

Cloud & Infrastructure Providers

Builder declared

Cybersecurity

Builder declared

FinTech

Builder declared

Payments

Builder declared

08

Case Studies

Published narratives of implementation and results.

Software & SaaS · AI Orchestration · Code Generation · Code Review Assistant · Internal Developer Tooling · QA & Testing Automation

AI Orchestration for Agentic Software Engineering Workflows

Built an internal multi-agent orchestration system that automates feature planning, implementation, code review, security review, and QA — letting a small, fast-growing engineering team ship more of its backlog without adding headcount.

Read case study

09

Trust & verification

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

Verified Builder

AI Case Studies verified

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

How verification works
Verified

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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