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Sr Software Engineer at @uber
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Uber
Data Scientist
June 22, 2026 – Present
self-parking-car-evolution
May 13, 2021 – November 23, 2025
🧬 Training the car to do self-parking using a genetic algorithm
View Projectjs-image-carver
April 8, 2021 – November 23, 2025
🌅 Content-aware image resizer and object remover based on Seam Carving algorithm
View Projectstate-of-the-art-shitcode
January 27, 2020 – November 23, 2025
💩State-of-the-art shitcode principles your project should follow to call it a proper shitcode
View Projectnano-neuron
December 5, 2019 – November 23, 2025
🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
View Projectmachine-learning-experiments
November 14, 2019 – November 23, 2025
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
View Projecthomemade-machine-learning
November 1, 2018 – November 23, 2025
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
View Projectmachine-learning-octave
October 19, 2018 – November 23, 2025
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
View Projectlearn-python
August 29, 2018 – Present
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
View Projectpromote-your-next-startup
June 11, 2018 – Present
🚀 Free resources you may use to promote your next startup
View Projectjavascript-algorithms
March 24, 2018 – Present
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards self-learning and exploration in machine learning and algorithms. The diversity of projects, from fundamental algorithms to interactive experiments, suggests a proactive and curious mindset. However, the lack of team-based projects or contributions to open-source beyond personal repositories makes it difficult to fully assess collaborative cultural fit. The 'state-of-the-art-shitcode' project, while potentially humorous, does not align with professional best practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.