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About

// Applied AI/ML Engineer

I'm Anthony.

I build AI systems that work in production.

Open to remote · ET · Trinidad

// Highlights

Five years building production ML systems, from edge-deployed computer vision that reads vital signs from a camera feed to agentic RAG pipelines used in real clinical workflows. I sit at the intersection of research, engineering, and production systems.

  • 5+

    Years in production ML

  • 1

    Granted US patent

  • 2

    IEEE Published papers

  • 2

    HIPAA compliant systems

PythonPyTorchLangGraphAWS LambdavLLMOpenCVFastAPIDockerQdrant

// Credentials

US Patent 12,525,360Granted Jan 2026

Systems and methods for assessing health measurements from facial video data using rPPG signal extraction and machine learning.

IEEE Published · DS-RAG FrameworkFeb 2026

Proposed a decentralized RAG protocol enabling Small Island Developing States to maintain data sovereignty while leveraging state-of-the-art LLMs.

IEEE Published · AI Personalization StrategyFeb 2026

Analyzed AI-driven personalization as a blue-ocean strategy in LATAM healthcare and education markets, with focus on agentic AI and Digital Twins.

// The Pipeline

I take problems from first principles to production and own every step in between.

Research

I turn problems into IP. Co-inventor on a granted US Patent in computer vision and author of 2 IEEE-published papers on LLM systems.

PatentsIEEE papers
Innovate — research and IP

Engineer

I turn messy data into working models. Five years delivering HIPAA-compliant AI pipelines, computer vision models, and agentic RAG systems in production.

PipelinesAPIsModels
Engineer — build and ship

Deploy

I build systems that ship. Experience ranging from model optimization and automated CI/CD to owning compliant production deployments.

InfraCI/CDOn-call
Orchestrate — deploy and operate

// Career

Experience

Jump to

~/experience/01_hibiscus.md

Lead AI/ML Engineer

Hibiscus Health

Aug 2023 — Dec 2025

Washington DC · Remote

Owned end-to-end ML architecture for a digital health product. Built a patented CV pipeline extracting rPPG signals from facial video and agentic RAG pipelines for clinical nutrition guidance, deployed via AWS Lambda to a live mobile app.

  • 8×

    Inference speedup

  • 0.8+

    AUC health models

  • 50GB

    Video processed

  • 1

    US patent

// Focus

  • Computer vision

    Multi-threaded rPPG pipeline predicting hypertension, cholesterol & diabetes

  • MLOps

    HIPAA-compliant ETL, CI/CD via GitHub Actions, AWS Lambda deployment

  • LLM / RAG

    Agentic LLaMA pipelines for nutritional guidance and meal planning

  • Architecture

    Designed full system across product and engineering, authored investor docs

// Stack

  • PyTorch
  • OpenCV
  • LangGraph
  • vLLM
  • Qdrant
  • AWS Lambda
  • LangFuse
  • HIPAA ETL
  • GitHub Actions

~/experience/02_precise.md

Senior ML Engineer

Precise Behavioral

June 2022 — Aug 2023

Westlake Village CA · Remote

Fine-tuned a BERT-based classifier on 2000+ clinical journal entries to predict anxiety and depression probabilities. Built a HIPAA-compliant FHIR ingestion pipeline and a production drift monitoring system that auto-flagged anomalies.

  • 93%

    F1 score

  • -20%

    False positives

  • 2k+

    Training entries

  • HIPAA

    Compliant

// Focus

  • NLP classifier

    BERT fine-tuned on clinical text, evaluated with the Checklist Framework

  • FHIR pipeline

    Python ETL for ingesting EHR records with full HIPAA compliance

  • Drift monitoring

    Lightweight system auto-flagging model anomalies in production

  • Evaluation

    Reduced false positives by 20%, improved vocabulary coverage to 93% F1

// Stack

  • BERT
  • Transformers
  • FHIR
  • Python
  • HIPAA ETL
  • Checklist Framework
  • Drift monitoring

~/experience/03_rose.md

Software Engineer

Rose: Smarter Mental Health

Jun 2018 — Jun 2022

New York NY · Remote

Built a rule-based content recommendation system serving 200+ articles, quantized ONNX models cutting inference by 25%, and integrated PyTorch NLP models into a Django/Celery backend. Promoted to Software Engineer in 2020 after joining as a part-time Data Science Intern in 2018.

  • -25%

    Inference latency

  • 200+

    Articles served

  • 4yr

    Tenure

// Focus

  • Full stack

    React/TypeScript frontend with Redux Saga, Django REST backend

  • Model optimization

    Quantized ONNX language model, cutting inference latency by 25%

  • Recommendation

    Rule-based content system serving mental health articles to 200+ users

  • NLP integration

    PyTorch NLP models served async via Celery task scheduling

// Stack

  • Django
  • React
  • TypeScript
  • ONNX
  • PyTorch
  • Celery
  • Redux Saga
  • REST APIs

// Academic Journey

Education

MSc Data Science

The University of the West Indies

2025 – 2027 (expected)

St. Augustine, Trinidad

Key coursework

  • Machine Learning
  • Big Data Analytics
  • Statistical Inference
  • Data Visualization
  • Bayesian Methods
  • Research Practicum

BSc Electrical & Computer Engineering

The University of the West Indies

2017 — 2021

St. Augustine, Trinidad

Key coursework

  • Signals & Systems
  • Embedded Systems
  • Digital Design
  • Instrumentation
  • Capstone Project

// CONTACT · OPEN TO WORK

Let's build something that ships.

Open to full-time remote AI/ML engineering roles. If you're building something that needs to actually work, let's talk.

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