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Full Stack Development Skills Assessment

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Full Stack Development Skills Assessment

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Questions and Answers

What Equal Error Rate (EER) was achieved in the analysis of temporal dependencies in audio sequences?

0.07

Which technique was applied to address data label imbalance in the prediction of recession?

Synthetic Minority Over-sampling Technique

What programming languages and technologies were used in the development of the QuizAI Chrome Extension?

React.js, Node.js, and MongoDB

What user authentication method was implemented in the QuizAI Chrome Extension?

JWT (JSON Web Tokens) Signup and view all the answers

Which API was integrated into the QuizAI Extension to generate quizzes?

Google Gemini API Signup and view all the answers

What was one key contribution Chris made to the patient decision aid website as a Full Stack Developer?

Chris integrated the webkitSpeechRecognition API for voice input, enhancing user interaction. Signup and view all the answers

How did Chris manage sensitive credentials to strengthen codebase security?

He used dotenv to manage sensitive credentials, replacing hardcoded passwords. Signup and view all the answers

What programming languages is Chris proficient in?

Chris is proficient in C++, Python, and JavaScript. Signup and view all the answers

What enhancement did Chris implement to improve user engagement on the patient decision aid website?

He enhanced the UI/UX using JavaScript and EJS based on user interviews. Signup and view all the answers

What was one of Chris's roles as a Product Analyst Intern at Softbank China?

He conducted product review and market research in AI coding and AI companion agents. Signup and view all the answers

What technique did Chris use for feature extraction in the Speaker Recognition System?

He implemented MFCC-based feature extraction using the Librosa library. Signup and view all the answers

Which model did Chris train for the Speaker Recognition System?

He trained a bidirectional LSTM model using PyTorch on a GPU. Signup and view all the answers

What was the benefit of applying a triplet loss function in Chris's project?

It optimized speaker embeddings to enhance differentiation between distinct speakers. Signup and view all the answers

Study Notes

Education

Bachelor of Science in Computer Science from University of Southern California
GPA: 3.89/4.0
Relevant coursework includes C++, Data Structures & Algorithms, Discrete Mathematics, Linear Algebra, Probability Theory, and Multivariable Calculus

Skills

Programming Languages: C++, Python, JavaScript
Frameworks/Libraries: AWS, Embedded JavaScript, Express.js, Node.js, React.js, Next.js, Git, PyTorch, scikit-learn

Work Experience

Full Stack Developer

Health Systems Engineering Lab, Los Angeles, CA, August 2024 - Present
Enhanced a patient decision aid website, increasing user engagement by 10%
Implemented a user query section using webkitSpeechRecognition API and Nodemailer
Improved UI/UX based on user feedback, improving CSS and page layout
Redeployed on AWS Elastic Beanstalk, integrating MongoDB and streamlining deployment with CodePipeline
Strengthened code security by managing sensitive credentials with dotenv and replacing hardcoded passwords

Product Analyst Intern

Softbank China Venture Capital, Shanghai, China, June 2024 - August 2024
Investigated 10+ startup pitches in robotics and AI infrastructure
Conducted product reviews and market research in AI coding and AI companion agents
Prepared 20+ page research reports for portfolio companies

Personal Projects

Speaker Recognition System

Shanghai, China, May 2024 - June 2024
Implemented MFCC-based feature extraction on LibriSpeech audio datasets using Librosa
Optimized speaker embeddings using a triplet loss function, improving speaker classification accuracy
Trained a bidirectional LSTM model (using PyTorch on GPU) to capture temporal dependencies in audio sequences
Achieved an Equal Error Rate (EER) of 0.07 at a threshold of 0.588

Data Science Researcher

University of Chicago, Quantitative Finance and Risk Management Department, June 2023 - August 2023
Calculated feature importance using Random Forest Regressor on Federal Reserve data for recession prediction
Applied Synthetic Minority Over-sampling Technique to address data imbalance
Extracted data from Yahoo Finance, developed multi-variable linear regressions on log-returns for stock selection
Constructed portfolios with VaR models for risk hedging

Full Stack Developer Intern

QuizAI Chrome Extension, Los Angeles, CA, August 2024 - Present
Developed QuizAI using React.js, Node.js, and MongoDB
Integrated Google Gemini API to generate quizzes
Implemented secure user authentication and authorization using JWT
Used React Hooks, React Router, Vite for improved user experience and application performance
Connected to MongoDB using Mongoose, performing CRUD operations efficiently

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Description

Test your knowledge on Full Stack Development with questions covering programming languages, frameworks, and essential technologies used in modern web development. This quiz will explore various aspects of software engineering practices and tools currently in use.