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Sepehr
Rafiei

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With a passion for developing
software and modern applications
for commercial businesses.

Education

University of California,

Berkeley

College of Engineering

Bachelor of Science: Electrical Engineering & Computer Science

Software Engineering: Algorithms, Data Structures, Computer Architecture, Computer Security

Web-Development: Full-Stack Development, IOS Development, Figma

AI/Machine Learning: Machine Learning, Deep Learning for Visual Data, Designing Deep Neural Networks, Artificial Intelligence, Foundations of Data Science, Discrete Mathematics and Probability Theory

Experience

Software Engineer

Alcatel-Lucent Enterprise

October 21 - August 22

Python
C#
HTML
CSS
JS
Microsoft SQL Server

Developed a full-stack web application to virtualize connections within a network-switch topology.

Built a Windows application using C# and Microsoft SQL Server to maintain shipments and product inventory.

Created a Python and C# library for serial and SSH communication to an OmniSwitchâ„¢.

Assisted with QA and maintained switch topologies.

Teaching Assistant

Ventura County Community College District

September 21 - May 22

Java
Python
C++

Tutored over 100 students in Java, C++, and Python.

Enhanced students' coding skills with personalized instruction.

Significantly improved students' exam performances.

Provided custom learning resources for better understanding.

Founder/CEO

Coach AI

Auguest 24 - Present

Python
MediaPipe
OpenCV

Leading a team of five to develop an AI-driven app that delivers real-time sports coaching feedback using computer vision.

Managing daily operations, team coordination, and project timelines.

Driving product vision, strategic planning, and investor relations.

Overseeing all aspects of product development from concept to prototype.

Projects

Spam Email Detection System

Berkeley, CA | April 2024

Python
NumPy
Machine Learning
Spam Detection

Developed machine learning models from scratch using NumPy for spam email detection.

Achieved high accuracies across multiple models: SVM (85.7%), GDA (82.2%), Random Forest (83.7%), and Linear Regression (87%).

Implemented feature engineering and model evaluation techniques.

A Secure File Sharing System

Berkeley, CA | November 2023

Go
Cryptography
Security

Implemented a secure file sharing system in Go with cryptographic libraries.

Ensured data authenticity, confidentiality, and integrity in an insecure environment.

Engineered defenses against attackers, passing over 100 adversarial test cases.

Cook County Housing Price Prediction

Berkeley, CA | March 2024

Python
Regression
Data Engineering

Engineered a robust regression model in Python with over 60 features.

Achieved a competitive RMSE of less than 100k on a dataset with 200k+ observations.

Employed advanced preprocessing, feature engineering, and regularization techniques to optimize performance.

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