Svenska
Dansk
Dutch
Deutsch
Français
Norsk
Suomi
Omer A.
Data Scientist
Omer is a highly skilled Data Scientist and Machine Learning Engineer with over four years of experience in research and development. His expertise spans various domains, including LLMs, NLP, Reinforcement Learning, Time Series Forecasting, Medical Imaging, and end-to-end Machine Learning Systems architecture.
Omer has a proven track record of delivering exceptional results. He excels in developing, deploying, and monitoring advanced Machine and Deep Learning models, which have been integral to the success of various customer applications.
His proficiency and commitment to excellence highlight his significant contributions to the fields of data science and machine learning.
Main expertise
- NLP 5 years
- Python 5 years
- Data Science 6 years
Other skills
- TypeScript 2 years
- Neo4j 1 years
- Scrapy 1 years
Selected experience
Employment
Machine Learning Engineer/Data Scientist
Vodafone - 1 year 11 months
- Worked with Large Language Models (LLMs), ChatGPT, and applied Prompt Engineering techniques.
- Implemented Retrieval Augmented Generation (RAG) and developed chatbots using Natural Language Processing (NLP).
- Performed keyword extraction and keyword matching tasks.
- Built semantic search solutions and utilized frameworks such as LangChain and FastAPI.
Technologies:
- Technologies:
Neo4j
- NLP
Python
FastAPI
ChatGPT API
Senior Data Scientist/Machine Learning Engineer
Presify.Ai - 1 year 6 months
- Implemented time series forecasting models to predict the power generation of thousands of renewable plants for both intra-day and day-ahead markets using LSTM, XGBoost, LightGBM, and Random Forest.
- Developed anomaly detection algorithms to identify extreme values in time series data.
- Conducted extensive data preprocessing and feature engineering to enhance model accuracy and scalability.
- Designed machine learning development and production environments using microservice architecture in Kubernetes clusters and Kubeflow.
- Deployed machine learning models into production using various strategies such as REST APIs, KServe, BentoML, and containerization tools like Docker and Kubernetes.
- Monitored and retrained deployed machine learning models continuously using performance metrics and user feedback, making adjustments to meet business requirements.
- Developed and maintained core microservices for the production environment using FastAPI, Flask, and Node.js.
- Worked extensively with BERT, LLMs, ChatGPT, fine-tuning, NLP, LLaMa, RAG, the ChatGPT API, LangChain, and Agents.
Technologies:
- Technologies:
- NLP
-
Python
Kubernetes
Kubeflow
-
FastAPI
SQL
-
ChatGPT API
Data Scientist/Machine Learning Engineer
Titra Technology - 2 years
- Processed and analyzed high-dimensional 3D TOF MRA images under the supervision of a radiology group.
- Developed, optimized, and implemented 3D Vision Transformer, 3D Res U-Net, and 3D Attention U-Net-based deep models and their variants to provide diagnostic assistance for intracranial pathologies like aneurysms and ischemic strokes.
- Reduced the workload of radiologists and increased diagnostic accuracy for unruptured aneurysms by 10% with the assistance of developed models.
- Successfully developed and deployed Object Detection and Segmentation models for embedded devices such as UAVs, resulting in increased accuracy and efficiency in aerial surveillance and monitoring operations.
- Developed custom deployment pipelines and workflows that improved the deployment process of machine learning models, leading to a significant reduction in time-to-production.
Technologies:
- Technologies:
-
Python
Machine Learning
-
SQL
Education
BSc.Computer Engineering
Erciyes University · 2014 - 2018
Find your next developer within days, not months
In a short 25-minute call, we would like to:
- Understand your development needs
- Explain our process to match you with qualified, vetted developers from our network
- You are presented the right candidates 2 days in average after we talk