Skillset

Technical Skills

Deep Learning & Artificial Intelligence

• Deep Learning Frameworks: TensorFlow, Keras.
• Computer Vision: Object Detection (YOLO),Facial Recognition (DeepFace), Transfer Learning, Image Classification, GANs.
• Natural Language Processing: Sentiment Analysis, Text Classification, LLMs.
• Advanced Architectures: AutoEncoders (Anomaly Detection), Custom Loss Functions, Model Tuning.

Data Science & Analytics

• Data Manipulation: Pandas, NumPy, TidyVerse.
• Statistical Analysis: Experimental Design (A/B Testing), Bayesian Inference, Regression Analysis, Hypothesis Testing.
• Machine Learning (Classical): Scikit-learn, Classification, Clustering, Regression, Dimensionality Reduction (PCA), Predictive Modeling.
• Visualization: Matplotlib, Seaborn, Spotfire.

Engineering & Prototyping

• Software Development: Python, R, Rust, HTML/CSS.
• Model Deployment & APIs: FastAPI, Flask, Streamlit, API Design.
• Infrastructure & Environment: Docker, OrbStack, Linux, Shell Scripting (Bash, Fish).
• Version Control: Git, GitHub.

Specialized Domain Knowledge

• Signal Processing: EEG Data Processing, Time-Series Analysis.

Analytical & Conceptual Skills

• Logic & Strategic Thinking: Formally trained in logic and game theory, allowing me to dissect complex problems coupled with structurally sound arguments.
• Philosophy of Science & Critical Inquiry: A thorough framework for defining the right questions and questioning assumptions in data.
• Linguistic Precision: Applying explication to transform vagueness into precision, ensuring unambiguous mutual understanding between the relevant parties.
• Moral Philosophy & AI Ethics: Navigating ambiguous topics like model bias and fairness to build responsible solutions.

Professional Skills

• Ownership & Reliability: Taking full ownership of problems from start to finish.
• Collaboration: A calm, creative, and kind team member.
• Resilience: Dedication to putting in the necessary effort, no matter how tough the task.