Privacy Engineering@CMU | AI for Good
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Awesome-ML-Privacy-Mitigations
May 3, 2025 – June 9, 2025
A curated collection of privacy-preserving machine learning techniques, tools, and practical evaluations. Focuses on differential privacy, federated learning, secure computation, and synthetic data generation for implementing privacy in ML workflows.
View ProjectModelContextProtocol
March 10, 2025 – March 10, 2025
ModelContextProtocol — GitHub repository
View Projectlocation-dp-framework
February 21, 2024 – April 28, 2024
Unified locational DP framework for private data aggregation
View ProjectSecure-and-Private-AI
November 24, 2020 – November 27, 2020
Secure-and-Private-AI — GitHub repository
View ProjectStock-Watch
September 30, 2020 – September 30, 2020
A simple web-app for watching a stock
View ProjectGAN-Implementations
August 31, 2020 – September 3, 2020
GAN-Implementations — GitHub repository
View ProjectFace-Tracking-Camera-Gimbal
May 18, 2020 – May 18, 2020
Face-Tracking-Camera-Gimbal — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on privacy-preserving machine learning and general ML applications, which aligns well with a Data Scientist role. However, the projects are predominantly personal and lack diversity in team collaboration or large-scale system integration, which might indicate a need for development in a collaborative, production-oriented environment. The absence of professional experience or education details makes a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.