Machine Learning Engineer

• Sep 2022 - Present

Machine Learning Engineer

• Dec 2021 - Present

- Designing visual anomaly ML Systems * Algorithm customizing and editing for special problems * API development * Deployment like tests , docs , docker files and ci/cd - Developing analytic dashboard for anomaly cases * React for UI * Fast API for API Server * PostgreSQL and Timescale DB for Data like time series data - Modeling a model for detection data peaks and anomalies - Designing CV Application find hole healthy or anomaly for industrial area Show less

Machine Learning Engineer

• Jun 2021 - Dec 2021

• Analyzing Wearable sensor data for healthcare problems • Modeling Time Series Model like TCN and Attention Model for human activity recognition • Modeling Anomaly Detection using ml models like mahalanobis distance and isolation forest algorithms for wearable covid sensor data • Applying statistical test like friedman and anova to find meaning relations in wearable covid sensor data. • Analyzing Wearable sensor data for healthcare problems • Modeling Time Series Model like TCN and Attention Model for human activity recognition • Modeling Anomaly Detection using ml models like mahalanobis distance and isolation forest algorithms for wearable covid sensor data • Applying statistical test like friedman and anova to find meaning relations in wearable covid sensor data.

Data Scientist

• Feb 2019 - May 2021

- Data analysis, data cleaning, preparing, visualization and modeling - Making a regression model via different ML model types like linear, tree, neural network, embedding - Designing many ml systems like anomaly detection , time series prediction for real time - Designing a real time predictive model for real system (data acquisition, processing, training, prediction and api design) - Designing a predictive system with serverless framework and AWSLambda architecture - Designing local or cloud base a ML system by using tox, pytest and Apache Airflow, DVC, GitHub Actions, Docker-Compose and - Designing a real time streaming and ML system by using AWSKinesis, AWS-Sagemaker, AWS-EBS, plotly-dash - Designing a IoT data analytic system by using MQTT, AWS-IoT, DynamoDB, MongoDB at a Linux device Show less

Intern Engineer

• Aug 2018 - Sep 2018

• Deep learning architecture (facenet) based face recognition system development • Computer vision application development • Deep learning architecture (facenet) based face recognition system development • Computer vision application development