Machine Learning Web Developer

Samane Vazirian

******.********@*****.*** 263-***-****

Summary

• Web Developer with foundational knowledge in Machine Learning and skills in SQL, Web APIs(c#), Python, Machine learning and React.

• Practical experience in image classification using Python, CNN models, and machine learning algorithms.

• Strong interest in developing web applications, artificial intelligence, machine learning, and data-driven solutions.

• Skilled in designing and implementing data structures and generating reports. Technical Skills

• Programming Languages: SQL, Web APIs, Python, HTML, CSS, React

• Machine Learning & Data Analysis: PyTorch, scikit-learn, Skorch, CNN, Pandas, NumPy

• Database: SQL Server, MySQL, Elasticsearch

• Data Preprocessing & Modeling: Feature extraction, Data cleaning

• Version Control: Git

Work Experience

Machine Learning experience (Course Project)

Concordia University – 2024

• Conducted an image classification project using Python, PyTorch, and scikit- learn/Skorch as part of Applied AI and Data Mining courses.

• Built and optimized CNN models to improve accuracy in classification tasks.

• Preprocessed data for machine learning pipelines, combining models through modeling.

• Presented findings using data visualization techniques and applied predictive analytics for better insights.

API Developer

Shokouhejavid Iranian – 2021 – 2023

• Developed APIs for a broker application, ensuring efficient retrieval.

• Wrote jobs to update the summary table during periods of minimal server load, typically at midnight, ensuring efficient data gathering from various tables.

• Logged different application states and errors using Elasticsearch, which was greatly improved error handling by allowing us to easily identify when errors occurred.

• Created a denormalized summary table to consolidate data from multiple tables, improving report generation speed by reducing the cost of joins.

• Generated profitability and performance reports, such as the list of customers who gained the most profit in the last three months. These reports were highly valuable in helping the company identify areas for improvement and allowed customers to gain useful overviews of their profits during specific periods. Both the company and the customers were highly satisfied with the reports. Monitored system performance using Elasticsearch and optimized data flow, improving the overall system reliability. Sepas Rayaneh Khorasan, 2016-2021

Web Developer

• Developed a comprehensive questionnaire using ASP.NET MVC and SQL Server and Angular8. It enabled the clients to easily design questionnaire and analyse gathering information.

• Developed university registration web application using ASP.NET MVC and SQL Server and Angular8.

• Designed and implemented database structures for managing datasets across multiple projects. Developed SQL queries to facilitate smooth communication between applications and the SQL Server database.

• Designed and implemented database interactions using SQL for real-time updates and data management.

Education

Bachelor of Computer Software Engineering

Master of Artificial Intelligence

Master Of Quality System Engineering

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