Podcast
Questions and Answers
What Equal Error Rate (EER) was achieved in the analysis of temporal dependencies in audio sequences?
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?
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?
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?
What user authentication method was implemented in the QuizAI Chrome Extension?
Which API was integrated into the QuizAI Extension to generate quizzes?
Which API was integrated into the QuizAI Extension to generate quizzes?
What was one key contribution Chris made to the patient decision aid website as a Full Stack Developer?
What was one key contribution Chris made to the patient decision aid website as a Full Stack Developer?
How did Chris manage sensitive credentials to strengthen codebase security?
How did Chris manage sensitive credentials to strengthen codebase security?
What programming languages is Chris proficient in?
What programming languages is Chris proficient in?
What enhancement did Chris implement to improve user engagement on the patient decision aid website?
What enhancement did Chris implement to improve user engagement on the patient decision aid website?
What was one of Chris's roles as a Product Analyst Intern at Softbank China?
What was one of Chris's roles as a Product Analyst Intern at Softbank China?
What technique did Chris use for feature extraction in the Speaker Recognition System?
What technique did Chris use for feature extraction in the Speaker Recognition System?
Which model did Chris train for the Speaker Recognition System?
Which model did Chris train for the Speaker Recognition System?
What was the benefit of applying a triplet loss function in Chris's project?
What was the benefit of applying a triplet loss function in Chris's project?
Flashcards
Procedural Programming
Procedural Programming
A type of programming language that structures a program as a series of instructions to be executed in order.
Object-Oriented Programming
Object-Oriented Programming
A type of programming language that focuses on data and the operations that can be performed on it.
Equal Error Rate (EER)
Equal Error Rate (EER)
A metric used to evaluate the performance of a binary classification model, representing the average of false positive rate and false negative rate. A lower EER indicates better performance.
Synthetic Minority Over-sampling Technique (SMOTE)
Synthetic Minority Over-sampling Technique (SMOTE)
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Feature Importance
Feature Importance
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Value at Risk (VaR)
Value at Risk (VaR)
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Data Extraction
Data Extraction
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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.
