Data science · Machine learning · Applied AI

A scientist whoships systems.

I turn complex scientific and operational problems into reproducible analytics, AI-assisted products, and software that people actually use.

Explore selected workGet in touch
01—04

Biology gave me the questions. Statistics gave me rigor. Engineering gave me a way to put both into production.

Outcomes shipped

0 months → open BetaRessearch AI · full-stack build, solo developer
0 weeks → <0 daysEnvironmental report drafting
0 months → 0 weeksAcademic certificate turnaround
0+ active usersPublic-health AI assistant

01 / Selected work

Systems built around real constraints.

Public product work and closed-source systems presented through the problems, decisions, and measurable outcomes they produced.

Founder & sole developer · Live beta

Ressearch AI

An AI-powered scientific research platform supporting the research lifecycle, with built-in statistical and spatial analysis modules. I designed and shipped the frontend, backend, data layer, and AI integration.

OutcomeA live full-stack product launched from concept to beta in three months, now expanding toward university partnerships.

  • AI product
  • Full-stack
  • Statistical computing
  • Spatial analysis
Visit Ressearch AI
Environmental regulation · Applied AIPrivate code · Production

AI-assisted supervision workflow

A production desktop application combining retrieval-augmented generation with GIS automation to help environmental specialists draft evidence-grounded supervision reports.

OutcomeReduced a recurring drafting workflow from roughly two weeks to under three days.

  • RAG
  • Gemini
  • Next.js
  • Electron
  • ArcPy
Public health · Data systemsPrivate code · Production

Territorial health intelligence

An end-to-end information system spanning REDCap collection, validation, a 27-indicator KPI framework, Power BI reporting, spatial layers, and an AI assistant for health professionals.

OutcomeThe assistant reached 300+ active users; the wider system supported population monitoring across Peru.

  • Python
  • Power BI
  • REDCap
  • GIS
  • LLM application
Visit the platform
Health education · OperationsPrivate code · Production

Academic management platform

A web application deployed on a pediatric institute's production infrastructure to unify requests, enrollment, grading, attendance, and certificate generation.

OutcomeReduced certificate turnaround from approximately four months to three weeks.

  • Next.js
  • Express
  • SQL Server
  • Workflow design

02 / Capabilities

From raw evidence to running product.

My strongest work sits where domain knowledge, quantitative rigor, and delivery overlap.

01

Data science

EDA, regression, sampling design, KPI systems, validation logic, reproducible analysis, and decision-focused reporting.

  • Python · pandas · GeoPandas
  • R · SQL · Stata
  • Biostatistics · survey data
02

ML & AI engineering

LLM applications, retrieval pipelines, evaluation-aware prompting, MLOps foundations, and full-stack product delivery.

  • RAG · LLM applications
  • MLflow · SageMaker · Azure ML
  • Next.js · React · Express
03

Scientific & geospatial

Spatial analysis, environmental monitoring, biodiversity research, remote-sensing foundations, and scientific communication.

  • ArcGIS Pro · QGIS · ArcPy
  • Google Earth Engine
  • Ecology · health · environment

03 / Experience

A path through science, data, and software.

Founder & Developer

Ressearch AI

Building an AI research platform across product, engineering, data, and university-facing strategy.

Academic Systems & Data Lead

National Institute of Children's Health

Designed and deployed a production academic operations platform.

Environmental Data & Automation Lead

OEFA · Ministry of Environment

Shipped AI-assisted reporting, statistical sampling, GIS automation, and executive analytics.

Health Data Processing Lead

MINSA · Directorate of Indigenous Peoples

Led indicator design, field-data systems, spatial reporting, and public-health AI tooling.

Research, Analytics & Teaching

INEI · ECU · CIBTYC · universities

Built the scientific foundation: applied statistics, biodiversity research, GIS, survey QA, and four years teaching R.

04 / Research

Scientific depth is part of the stack.

Peer-reviewed research, technical books, field science, and reproducible methods inform how I build.

Peer-reviewed · First author

Bird diversity and noteworthy records from the Porculla Pass and Huancabamba–Chamaya sub-basin

Peer-reviewed · Co-author

Digital inclusion in Indigenous peoples: advances and challenges, 2019–2024

Book

Introducción a R para Ciencias

Technical book · Co-author

Fauna Silvestre del Área de Conservación Regional Bosques Secos del Marañón

05 / Contact

Have a hard problem worth shipping?

I am open to Data Scientist, ML Engineer, and AI Engineer roles—remote worldwide or relocation with visa sponsorship.

irwing.s.saldana@gmail.com LinkedIn GitHub