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Omer – Python, Scikit-learn, Keras, experts in Lemon.io

Omer

From Turkey (GMT+3)

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Data ScientistSenior
Machine Learning EngineerSenior
Hire developer
7 years of commercial experience
AI
Healthcare
Manufacturing
UI/UX
AI software
Dev tools
Embedded software
Lemon.io stats
1
projects done
381
hours worked
2
offers now 🔥

Omer – Python, Scikit-learn, Keras

Omer is a very experienced machine learning engineer with a demonstrated history of working in many quantitative industries, such as Quantitative Finance, and Nanotechnology, backed by a Ph.D. degree in Electrical Engineering. He made a significant impact on the development of the Healthcare sphere through Deep Learning models. Omer is a humble, curious, and responsible person and will be a great addition to any team.

Main technologies
Python
5 years
Scikit-learn
4 years
Keras
3 years
SQL
5 years
NumPy
2 years
Pandas
5 years
Deep Learning
3 years
OpenCV
1 year
Additional skills
PyTorch
AWS
Docker
Tensorflow
Flask
R
Redshift
MLOps
FastAPI
Computer Vision
LLM
Ready to start
17th of June
Direct hire
Potentially possible

Experience Highlights

Lead Machine Learning Developer
May 2023 - Ongoing1 year 1 month
Project Overview

Covid-19 diagnosis from X-rays with Transformers

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Responsibilities:
  • Obtained >99% Covid-19 detection from x-rays by using transformers and transformer-cnn hybrids.
  • Ran training experiments through Colab with the latest Covid-19 data.
  • Compared the results of transformer, cnn and transformer+cnn architectures.
  • Found that the best architectures for Covid-19 detection are Swin Transformer and CoatNet.
Project Tech stack:
Computer Vision
PyTorch
Deep Learning
Python
Senior Machine Learning Engineer
Nov 2022 - Mar 20234 months
Project Overview

UI element detection and screen classification

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Responsibilities:
  • Created object detection models for 30+ UI elements with >90% mAP
  • Implemented an active learning workflow with Colab and Labelbox
  • Integrated modeling runs with Weights & Biases for model, data and experiment tracking & versioning
  • Implemented a workflow for MAL (model assisted labeling) in Labelbox
  • Trained and deployed the UI object detection model with AWS Sagemaker
  • Investigated UI understanding by deploying a mid sized vision LLM model
Project Tech stack:
Python
Deep Learning
PyTorch
MLOps
Machine learning
Computer Vision
AWS
Lead Machine Learning Developer
Dec 2020 - Dec 20211 year
Project Overview

Skin cancer is one of the most dangerous forms of cancer. Skin cancer spreads over other body parts gradually, so it is more durable in the initial stages, which is why it is best detected at the early stages. Omer was part of a team that developed a highly accurate skin cancer detection deep learning model. The model lets users classify skin lesions as benign or malignant with very high accuracy.

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Responsibilities:

Main accomplishments:

  • Developed deep learning CNN networks to identify skin cancer from photos with more than 95% sensitivity and specificity;
  • Was in charge of data cleaning, model development, and model tuning.
Project Tech stack:
Deap Learning
Keras
Tensoflow
Computer Vision
Lead Machine Learning Developer
May 2021 - Dec 20217 months
Project Overview

Advanced machine learning prediction model for COVID-19 prognosis combines several variables or features to estimate the risk of health outcomes for patients infected with COVID-19 and to assist medical staff in triaging patients with limited healthcare resources.

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Responsibilities:
  • Developed a COVID-19 prognosis model with an average of 80% accuracy;
  • The model lets users predict health outcomes for patients days in advance after they were hospitalized;
  • Was in charge of data analysis, data cleaning, feature engineering, and model selection.
Project Tech stack:
Python
Machine learning
Ski-kit learn
PostgreSQL
SQL
Pandas
NumPy
Lead Machine Learning Engineer
Apr 2021 - Dec 20217 months
Project Overview

The platform for autonomous machines and other embedded applications. It provides customers with the performance and power efficiency they need to build software-defined autonomous machines and makes it possible to bring new capabilities to millions of tiny, low-power AI systems.

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Responsibilities:
  • Developed an embedded machine vision system to detect impurities in cotton with Nvidia Jetson;
  • Set up the system on factory premises with a siren and a flashing light;
  • Researched how to detect white contaminants;
  • Was in charge of data collection, model development, deployment, and testing;
  • The final tests of the project were 100% successful.
Project Tech stack:
Python
Deep Learning
OpenCV
Nvidia jetson
Computer Vision
Senior Machine Learning Developer
May 2020 - May 20211 year
Project Overview

As the most popular technology in the 21st century, machine learning can help realize many gains in healthcare, including better diagnosis, care, and treatment. Therefore, applying AI-assisted care to clinical medicine is vital, especially in the context of COVID-19 pandemic prevention and control work. Omer, together with a team, has developed a COVID-19 diagnosis tool from blood tests with more than 90% sensitivity and specificity.

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Responsibilities:
  • Created a machine learning model for COVID-19 diagnosis with more than 90% accuracy and deployed it on the web;
  • Built the backend (API) with Flask;
  • Retrained the model with more incoming data;
  • Wrote a journal paper;
  • Was in charge of data analysis, data cleaning, feature engineering, model selection, and model deployment.
Project Tech stack:
Python
Scikit-learn
Machine learning
Pandas
NumPy
Flask
PostgreSQL
SQL
Lead Machine Learning Developer
Feb 2020 - May 20203 months
Project Overview

Chest x-rays are a fast and inexpensive test that may potentially diagnose COVID-19, the disease caused by the novel coronavirus. However, chest imaging is not a first-line test for COVID-19 due to low diagnostic accuracy and confounding with other viral pneumonia. Recent research using deep learning may help overcome this issue as convolutional neural networks (CNNs) have demonstrated high accuracy of COVID-19 diagnosis at an early stage. Omer was one of the Data Scientists that worked on developing a deep-learning model for COVID-19 diagnosis from X-ray data. The model can diagnose COVID-19 from X-ray pictures, therefore either replacing or confirming PCR tests.

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Responsibilities:
  • Created a deep learning model for COVID-19 diagnosis from X-ray data with 92% average accuracy;
  • Researched several models from literature and selected the best one;
  • Was in charge of model development and selection.
Project Tech stack:
Python
Deep Learning
Keras
Tensorflow
Scikit-learn
Computer Vision

Education

1997
Electrical Engineering
PhD

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