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dougc95/README.md

Hi, I'm Douglas Rojas 👋

Fullstack engineer moving toward ML systems. I build data-heavy backends and the interfaces on top of them, and I like problems where the win is measurable: a 10‑minute geometry calculation brought down to 10 ms, a week-long aviation report turned into a one-day job, a sign-language dataset that didn't exist until I recorded it.

Based in La Paz, Bolivia 🇧🇴 · Software Developer at Helios Software · dougrojas.com


What I'm working on

  • Helios FHIR Server (open source) — built the MongoDB backend for the SQL‑on‑FHIR engine, wrote pysof (Python bindings for the Rust query engine), and fixed edge cases in the HL7 FHIRPath validation engine.
  • Healthcare claims evaluation platform — fullstack work on a system that parses and validates X12 EDI transactions (837/381) across 30+ US states. Rebuilt the batch validation pipeline and reporting, and integrated an external claim‑validation API so secondary claims get verified automatically.
  • Self‑study in ML — transformers, reinforcement learning, and optimization theory, with the goal of contributing to applied AI research.

Selected work

Project What I did Stack Result
Shade analysis engine Rewrote the projection and linear‑algebra core of a solar shade calculator running on Kubernetes Python, NumPy, GKE 10 min → 10 ms per run; large cut in compute cost
PDF report pipeline Reworked business logic, resource allocation and headless rendering for large generated reports Node, Puppeteer, GCP Processing time halved (8 → 4 min)
Bolivian Sign Language Recognition Recorded the first dynamic Bolivian Sign Language dataset and trained a gesture‑recognition model on it TensorFlow, Keras, MediaPipe, OpenCV, PyQt 87% accuracy on 9/10 gestures
World Magnetic Model Report Generator Built a desktop tool that computes magnetic declination reports for airport procedure design Python, Pandas, NumPy, Tkinter/PyQt Evaluation time 1 week → 1 day, adopted by civil aviation
Sports social‑network MVP Co‑led a 3‑dev team from architecture to launch in 3 months: Ethereum smart contracts, React front end, serverless video watermarking React, Redux Toolkit, Solidity, AWS S3/Lambda, ffmpeg Shipped on schedule
Backend DX & CI/CD Set up GitLab pipelines with coverage gates and automated GCP deploys; cut build times; onboarded new devs Node, GitLab CI, Docker, GCP 70% coverage threshold enforced
CRA → Vite migration Migrated a React app off Create React App, introduced Redux Toolkit, and refactored a backend‑shaped UI into a proper frontend architecture React, Vite, Redux Toolkit Faster builds, cleaner state

Stack

Languages — TypeScript/JavaScript, Python, Rust
Backend — Node.js, NestJS, Express, FastAPI · Postgres, MongoDB, DynamoDB · TypeORM, Sequelize
Frontend — React, Angular, MUI, Cypress
ML / data — TensorFlow, Keras, OpenCV, MediaPipe, NumPy, Pandas, Open3D
Cloud / DevOps — Docker, Kubernetes, GCP, AWS, GitLab CI/CD, Prometheus

Background

B.Sc. Computer Science & Mechatronics Engineering, Universidad Católica Boliviana (2019, graduated with distinction). Aspire Leaders Program 2025. Before software: a year in procurement across Bolivia, Paraguay and Chile, which is where I learned to write a report people actually read.

Off the keyboard: soccer, lifting, and philosophy.

Get in touch

LinkedIn Website Email

Pinned Loading

  1. World-Magnetic-Model-Report-Generator World-Magnetic-Model-Report-Generator Public

    GUI oriented report generator for World Magnetic Model

    Python 1

  2. Bolivian-Sign-Language-Recognition Bolivian-Sign-Language-Recognition Public

    Gesture recognition on Bolivian Sign Language using neural nets

    Python

  3. cycle-tracker cycle-tracker Public

    A women fertility cycle tracker for couples that gives insight of the current phase

    JavaScript