Machine Learning Software Engineer

Sahar Alaei Varnoosfaderani

Email Address: *****.******@*****.*** Phone: +1-859-***-**** Address: Fremont, Ca Technical Skills

Data Management: PostgreSQL, MariaDB, MongoDB

Programming: Java, Python, R, JavaScript, C, Shell scripting Big Data Technologies: Apache Spark, Apache Kafka, AWS Data Warehouse: Snowflake

Data Processing: Cleaning, Transformation, Augmentation ETL Processes: Luigi, Airflow

Data Modeling: Pandas, NumPy, scikit-learn

Statistical Analysis: Hypothesis Testing, Regression, Time Series Machine Learning: TensorFlow, PyTorch

Data Visualization: Tableau, Matplotlib, Plotly, HTML, CSS Infrastructure: Linux, Docker, Kubernetes, CI/CD

Logging and Monitoring: Grafana, Logic Monitor, SumoLogic, Prometheus Version Control: Git

Soft Skills: Problem Solving, Communication, Collaboration Work Experience

GoTransverse Austin - Texas

Data Software Engineer Oct 2020 - Present

● Design, develop, and automate data pipelines using Kafka, Debezium, and Luigi, reducing costs by 45% and enhancing reliability.

● Create RESTful APIs for system functionality and external integration in Python, improving cross-platform interoperability.

● Manage and optimize PostgreSQL and Snowflake databases, enhancing performance and reliability.

● Develop maintainable and scalable Python code for billing system components, adhering to clean code principles.

● Conduct code reviews to ensure best practices, coding standards, and code quality.

● Implement unit and integration tests with Pytest for code reliability.

● Utilize Docker and Kubernetes for application containerization and orchestration.

● Monitor system performance with LogicMonitor, optimizing alerts and dashboards for cost efficiency.

● Deploy applications on AWS, configuring CI/CD pipelines with Jenkins for continuous delivery.

● Design and execute performance tests using JMeter to identify bottlenecks.

● Automate performance tests using Jenkins.

● Set up and maintain monitoring and logging systems with Logic Monitor, Grafana, and Logstash.

● Configure alerts and dashboards to proactively address system performance issues.

● Use Git for version control and Liquibase for database schema management.

● Maintain comprehensive documentation for code, APIs, system architecture, and troubleshooting.

● Practice agile development, participating in sprint planning, stand-ups, and retrospectives. University of Texas at Austin Austin - Texas

Data Scientist Aug 2019 - Oct 2020

● Developed a cosmetic indenter prototype.

● Orchestrated experiments to collect and analyze thermal response data.

● Validated, cleaned, integrated, and visualized complex datasets for insightful analysis using Pandas.

● Applied time series, regression analysis, and hypothesis testing using scikit-learn.

● Utilized COMSOL and Zemax for heat and light diffusion simulation in skin.

● Optimized parameters with machine learning using Pytorch.

● Designed indenters with CAD and 3D printer.

● Conducted statistical analysis to evaluate the impact of laser techniques on kidney stone fragmentation.

● Produced compelling Tableau dashboards to effectively communicate findings to stakeholders. VenoStent, Inc Houston- Texas

Data Scientist Oct 2018 - Aug 2019

● Conducted MRI scans at Houston Methodist for data collection.

● Applied advanced machine learning algorithms, including classification, regression, and dimensionality reduction using tensorFlow, to analyze MRI imaging data.

● Applied machine learning techniques to optimize system design.

● Utilized Python for computational fluid dynamic modeling University of Kentucky Lexington- Kentucky

Graduate Research Assistant Aug 2016 - Jun 2018

● Employed data cleaning, filtering, and validation on clinical ECG data using MATLAB.

● Conducted analytical and statistical testing on human ECG data using MATLAB.

● Devised Python algorithm to predict ventricular arrhythmia.

● Collected diverse biological data from human subjects.

● Analyzed physiological signals with data science methodologies. Avionic Research Institute Isfahan- Iran

Research Engineer Sep2013 - Sep 2014

● Researched landing gear control systems (LGCU and BSCU) for aircraft projects.

● Analyzed technical sketches and manual data from aircraft models (A320, A340, Boeing 757).

● Collaborated with engineers to understand LGCU/BSCU functions and interrelations.

● Prepared comprehensive custom dashboards and custom dashboard in Javascript, HTML and CSS for stakeholders.

Education

● The University of Texas at Austin Austin - Texas Certificate, Data Analytics and Visualization Jan 2020 - Sep 2020

● University of Kentucky Lexington - Kentucky

Master's degree, Biomedical Engineering 2016 - 2018

● Isfahan University of Technology Isfahan - Iran

Master's degree, Electrical and Computer Engineering 2013 - 2016

● Isfahan University of Technology Isfahan - Iran

Bachelor's degree, Electrical and ComputerEngineering 2009 - 2013

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