🤖 AI & LLM Integration ⚡ Full Stack 🧠 TensorFlow 🍎 Nutrition AI

Armida Contreras

Full Stack Developer & AI Systems Engineer at DOST-FNRI. Building intelligent solutions for health, nutrition, and community development.

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Armida

Why Hire Me?

Full Stack Experience

Delivered AI and web solutions that improved research processes and user experiences.

AI-Integrated Solutions

Built and trained AI models (69 food recognition, 87% accuracy) integrated into real-world nutrition systems.

Government & Research

Hands-on experience with DOST-FNRI on national nutrition and health projects.

Work Experience

Oct 2025 – Present

Project Technical Specialist IV

DOST-Food and Nutrition Research Institute

  • Develop AI-enabled databases & backend for PhilFCT
  • Design AI-assisted data pipelines for food matching
  • Build APIs & internal tools for nutritionists
Jan 2025 – Sep 2025

Project Technical Assistant VI

DOST-FNRI

  • Developed AINA – AI model recognizing 69 food images (87% accuracy)
  • Integrated Ollama LLM chatbot for PhilFCT (<0.5s response)
  • Presented at RSTW Butuan City 2025
Mar 2024 – Jan 2025

Project Technical Assistant IV

DBP Service Corp / DOST-FNRI

  • Initiated RNDforNCD offline desktop app
  • Started Telenutrition web platform
  • Full system design, programming, testing
Jul 2022 – Dec 2022

IT Project Manager (Internship)

SD Solutions IT Outsourcing Inc.

  • Project coordination, documentation, reporting
  • System analysis tasks

Technologies I Master

Python TensorFlow PyTorch LangChain Ollama FastAPI PHP MySQL Flutter Firebase Arduino AWS/GCP

Signature Projects

Food Recognition App

TensorFlowPython69 classes

87% validation accuracy, <0.3s inference.

Chatbot

OllamaLLMNLP

<0.5s response time, handles 100+ concurrent users. Supports natural language nutrient queries.

Cash Payment Kiosk

PHPHardwareMySQL

Integrated bill acceptor + touchscreen. Processed 500+ transactions in pilot.

HOA Management System

PHPMySQLJS

Used by 3 HOAs. Modules: resident records, billing, payments, reports.

Nutrient Predictor

FlutterFirebaseTFLite

45 FPS on mid-range Android. Cloud image storage for inference logging.

IoT Rain Detection

ArduinoC++Sensors

99% detection accuracy in field tests. Triggers alerts automatically.

See all projects on GitHub

Live Demo: Food Recognition in Action

📹 Demo: Food recognition app recognizing a food image and chatbot answering nutrition queries via Ollama LLM.

Achievements & Recognition

2025 Division Model Employee Award

DOST-FNRI

Inventor’s Award – Telenutrition Software

DOST-FNRI 2025

Inventor’s Award – RNDforNCD V1.0

DOST-FNRI 2025

Technical Presenter – AINA at RSTW

Butuan City 2025

Let's Build Something Intelligent

I build scalable, reliable, and impactful AI solutions. Committed to high-quality code and continuous learning.

armidacontrerasii@gmail.com armidacontreras.a@icloud.com

Taguig City, Philippines