David Valor

Available for paid AI contracts — secure agents, fraud/AML, OSINT, and production systems.

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David Valor

AI Engineer · Secure, auditable systems

Fraud & AML · LLM / agent security · OSINT · computer vision · full-stack

Download CV Discuss a paid contract

Venezuela · Remote · GMT-4 · 7 years in production · reply within hours

System core

Who I am

Systems that ship to production. Not demos.

  • Fraud, AML, and compliance systems that must explain every decision.
  • LLMs and agents with evals, guardrails, and defenses against prompt injection and tool abuse.
  • From Venezuela for remote teams: backend, cloud, vision, and end-to-end product.
  • 7years in production
  • 7case studies published
  • 15OSINT sources orchestrated

Case 01 / 07

Mobile app · Serverless

Emprende / TeResuelve

One monorepo. Four applications.

  • Mobile app, admin dashboard, REST API, and landing.
  • The same code: Express locally, AWS Lambda in production.

React NativeTypeScriptAWS LambdaMongoDB AtlasWebSocketJWT

Role · Full-stack & architecture

Read the full case

← Environmental complianceThe systemPTZ-3D Camera Systems →

Case 02 / 07

Computer vision · Remote control

PTZ-3D Camera Systems

3D geometry that turns a pose into a reproducible capture.

  • Transforms geospatial coordinates into local PTZ camera positions with geometric calibration and remote control.
  • Designed the operational flow across WebSocket services, capture queues, S3 storage, and image processing for a distributed system.

C++OpenCVWebSocketAWSS3PTZ

Role · Systems & computer-vision engineering

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← Emprende / TeResuelveThe systemSEO Pipeline →

Case 03 / 07

Generative AI · Content

Mass SEO pipeline

500+ landing pages. One human in the loop.

  • LLM generation with semantic dedup and per-token cost control.
  • Human validation gates before anything ships: volume without losing quality.

LLMsPythonSEOCost control

Role · Architecture & automation

Read the full case

← PTZ-3D Camera SystemsThe systemAtenea / DiXtra →

Case 04 / 07

Operations · Real-time systems

Atenea / DiXtra

Fleet dispatch and operations with real-time events.

  • Full-stack delivery across dispatch, vehicle assignment, emergency, and operational-incident modules.
  • Implemented routes, notifications, and state synchronization on a NestJS, Vue, and Kafka/Socket.IO architecture.

NestJSTypeScriptVue 3KafkaSocket.IOTypeORMVite

Role · Full-stack engineering · private repository

Read the full case

← SEO PipelineThe systemCentinela →

Case 05 / 07

AI-powered POS · Own product

Centinela

A POS that doesn't just bill — it understands the business.

  • AI-narrated daily close, cash-register fraud detection, and stock-out prediction.
  • Computer vision that counts the shelf by camera and reconciles it against sales.

Computer visionLLMFull-stackSENIAT / PA 0071-0102

Role · Own product, from idea to deploy

See the live product

← Atenea / DiXtraThe systemBank anti-fraud →

Case 06 / 07

Fintech · 🔒 Confidential

Bank anti-fraud

Bank fraud, caught in time.

  • Refactor of the platform's core modules.
  • Scheduled ingestion of operations and rates feeding the analysis.

Node.jsAngularSQL ServerPython (pandas)DockerGCP

Role · Full-stack

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← CentinelaThe systemEnvironmental compliance →

Case 07 / 07

Platform · 🔒 Confidential

Environmental compliance

Environmental compliance, under control.

  • Design and management of control plans.
  • Business logic in Lambda functions.

ReactTypeScriptApollo / GraphQLAWS AppSyncAWS LambdaVite

Role · Frontend + Lambdas

Read the full case

← Bank anti-fraudThe systemEmprende / TeResuelve →

Verifiable evidence

Work you can inspect.

Code, products, and production systems with an explicit paper trail.

Each link says exactly what evidence it opens.

01Public implementation

Inspectable code

Architecture, pipelines, and technical utilities open for review.

PTZ-3D Camera SystemsGeometric calibration, computer vision, and remote camera control.View the technical utility ↗
Atenea / DiXtraDispatch, emergency workflows, and fleet operations in a private full-stack implementation.View the technical case ↗

02Production experience

Systems in operation

Software deployed across risk, analysis, and operations domains.

AictiveVideo pose estimation and biomechanical analysis.View the product ↗
Smart ComplianceAppSync, AWS Lambda, and control plans.View the organization ↗

03Public demo

AI agent, live

What you see on screen, built live.

Live Twitch AIA conversational agent for streaming with session memory — Python, LangChain, and Llama 2.Watch the demo ↗

Nebula · raw material

Stack

From AI to the cloud.

AI
Python · LangChain · LlamaIndex · OpenAI / Anthropic / Llama · RAG · agents
Backend
Node.js · Python · REST / WebSocket · event-driven
Frontend
React · modern JavaScript
Cloud
AWS (Lambda, Cognito, S3, RDS) · GCP · Docker

Signal · transmissions

Watch my work

What I build, on video.

Five clips on @davidvalor7.

Instagram @dvalorn TikTok @davidvalor7 LinkedIn David Valor

Station · edge of the system

Let's talk

You'll get scope, budget, and a technical read.

  1. 01 Scope and cost before any code.
  2. 02 Paid work with clear deliverables and acceptance criteria.
  3. 03 Clean repo and a documented handoff.
  4. 04 The engineer pilots. AI copilots.

Discuss a paid contract Book a consult

Venezuela · remote · GMT-4 · reply within hours · CV as PDF