Available for AI/ML roles · open to relocation

Ruben OtanoAI/ML Engineer

CS student at Miami Dade College and aspiring AI/ML engineer building machine-learning systems for medicine — from GPU-accelerated medical imaging to grounded clinical reasoning and real-time health signals.

Medical ImagingClinical NLPCritical-Care ML
Ruben Otano | AI/ML Engineer

GPU

A100 · TensorRT

Focus

Medical AI

// about

A builder bridging frontier ML and the realities of clinical care.

I'm Ruben Otano — a Computer Science student at Miami Dade College (4.00 GPA, Presidential Scholar) and an aspiring AI/ML engineer. I'm an MLT Career Prep fellow, a CodePath E3 Scholar, and the founder of CodeIN.

I build across the full ML stack — from medical imaging and clinical language to real-time health signals — and I love the engineering that makes models fast and trustworthy. I'm driven by the kind of work happening at NVIDIA, Anthropic, and OpenAI, and I want to bring that rigor to problems that improve lives.

Founder

CodeIN

MLT Career Prep

CP '28

Presidential Scholar

Miami Dade College

CodePath

E3 Scholar

competency profile

Machine LearningComputer VisionNLP / LLMsGPU / SystemsFull-StackResearch
0.00

GPA

Miami Dade College

0

ML projects

built & interactive

0

Scholar programs

MLT · CodePath · MDC

0

Followers

tech community

// projects

Six AI/ML systems for medicine — live and interactive.

Each card runs a real in-browser demo. Hover to preview, or launch the full experience.

01 · Computer Vision · Radiology

NeuraScan

Chest X-ray pathology detection

0.94

AUROC

38ms

Latency

14

Pathologies

PyTorchMONAITensorRTTriton
02 · Medical Imaging · Segmentation

OncoSeg

Brain tumor MRI segmentation

0.91

Dice (WT)

0.87

Dice (TC)

4

Modalities

PyTorchnnU-NetMONAICUDA
03 · Time Series · Signal Processing

CardioPulse

Real-time ECG arrhythmia detection

0.96

F1 (AFib)

500 Hz

Throughput

1.2 MB

Model size

PyTorchONNX RuntimeNumPyWebAssembly
04 · LLM · Retrieval-Augmented Generation

ClinicalLM

Grounded clinical reasoning assistant

0.92

Faithfulness

180

Tok/s

32k

Context

TransformersvLLMLangGraphpgvector
05 · Graph Neural Nets · Drug Discovery

MolForge

Molecular property & binding prediction

0.89

ROC-AUC

1M/hr

Screen rate

6

Tasks

PyTorch GeometricRDKitCUDARay
06 · Time Series · Critical Care

VitalStream

ICU deterioration early-warning

0.81

AUPRC

6 hr

Lead time

120ms

Latency

PyTorch ForecastingTritonKafkaGrafana

// stack

The tools I reach for to ship fast, reliable models.

Self-assessed proficiency across the stack I build with day to day.

ML & Deep Learning

PyTorch0
Transformers / LLMs0
CNNs & Vision0
Graph Neural Nets0

GPU & Inference

CUDA0
TensorRT0
Triton / Serving0
ONNX Runtime0

Data & MLOps

Docker0
Git & CI/CD0
Ray / Pipelines0
Weights & Biases0

Languages & Backend

Python0
TypeScript0
C++0
FastAPI / Node0
PyTorchCUDATensorRTTritonMONAITransformersJAXRayvLLMRDKitnnU-NetGrad-CAMONNXFastAPIpgvectorPyTorchCUDATensorRTTritonMONAITransformersJAXRayvLLMRDKitnnU-NetGrad-CAMONNXFastAPIpgvector

// contact

Let's build something that matters.

I'm open to AI/ML engineering and research roles, especially at the intersection of frontier ML and medicine. Reach out — I respond fast.