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Pooja Shah

Machine Learning Engineer

AI/ML engineer focused on computer vision. PyTorch, OpenCV, and MLOps. Building tools for healthcare diagnostics.

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Proof-of-Work Verified

Developer Profile

Languages

Python

C++

CUDA

Frameworks

PyTorch

OpenCV

ONNX

TensorRT

Tools

Jupyter

Docker

MLflow

Triton

poojashah

5+ years experience

Open to Work

Projects

retina-disease-detector

Deep learning model for detecting diabetic retinopathy from fundus images with 96.2% accuracy

Python

PyTorch

OpenCV

ONNX

980145

retina-disease-detector

Deep learning model for detecting diabetic retinopathy from fundus images with 96.2% accuracy

Python

PyTorch

OpenCV

ONNX

980145

edge-ml-deployment

Toolkit for deploying PyTorch models to edge devices with TensorRT and ONNX Runtime optimization

Python

TensorRT

ONNX

Docker

62080

edge-ml-deployment

Toolkit for deploying PyTorch models to edge devices with TensorRT and ONNX Runtime optimization

Python

TensorRT

ONNX

Docker

62080

medical-image-augmentation

Data augmentation library specialized for medical imaging with anatomy-aware transformations

Python

OpenCV

albumentations

NumPy

45060

medical-image-augmentation

Data augmentation library specialized for medical imaging with anatomy-aware transformations

Python

OpenCV

albumentations

NumPy

45060

Experience

ML Engineer

Qure.ai

HR Verified

Nov 2022 - Present(3 yrs 4 mos)•Mumbai, India

Full-time

Hybrid

Building deep learning models for chest X-ray and CT scan analysis. FDA-cleared product.

•Improved TB detection sensitivity from 89% to 96%
•Deployed model serving 200+ hospitals across India and Africa

Python

PyTorch

OpenCV

ONNX

Docker

Research Assistant

IIT Bombay

Aug 2020 - Oct 2022(2 yrs 2 mos)•Mumbai, India

Full-time

On-site

Researched computer vision techniques for medical image analysis under Prof. Amit Sethi.

•Published 3 papers in MICCAI and IEEE TMI
•Built retinal disease detection model with 94% accuracy

Python

PyTorch

TensorFlow

scikit-learn

Data Science Intern

Practo

Dec 2019 - Jul 2020(7 mos)•Bangalore, India

Internship

On-site

Built patient-doctor matching algorithm using collaborative filtering.

•Increased booking conversion by 15% through better recommendations

Python

scikit-learn

SQL

Pandas

Work Samples

MICCAI 2023 Paper

Retinal disease detection using deep learning — peer reviewed publication

Medical CV Toolkit

PyTorch toolkit for medical image classification

Services & Pricing

Popular

Computer Vision MVP

Custom CV model for your use case

₹30,000 / 4-6 weeks

Data pipeline setup
Model training
API deployment
Performance benchmarks
Documentation

Testimonials

“Pooja is an outstanding ML researcher. Her work on retinal disease detection has real clinical impact. Three publications in top-tier venues in just 2 years speaks to her caliber.”

Dr. Amit Sethi

Professor, IIT Bombay

via Direct

“Pooja improved our TB detection sensitivity from 89% to 96%. That 7% improvement translates to thousands of lives saved. She is exactly the kind of engineer healthcare AI needs.”

Prashant Warier

CEO, Qure.ai

via LinkedIn

“Even as an intern, Pooja delivered production-quality models. Her recommendation system increased booking conversion by 15%. Rare talent in ML engineering.”

Sanjay Gupta

ML Lead, Practo

via Email

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