Complete inventory · grouped by area

Skills across AI, statistics, data science, and software.

This page keeps my full skill set visible, including work outside my primary focus. The list is grouped by topic and built from the same CV knowledge base used by the portfolio assistant, so future edits to that source are reflected here during the site build. Project evidence is linked from the project archive.

Skills and tools

The full inventory

Programming and Data Handling

Programming skills used for artificial intelligence, data science, and machine learning development.

  • Python
  • SQL
  • Object-oriented programming
  • Data processing
  • Scientific computing
  • Automation scripts

Mobile Application Development

Cross-platform mobile app development using Flutter for Android and iOS.

  • Flutter
  • Cross-platform mobile app development
  • Android app development
  • iOS app development
  • Android
  • iOS

Classical Machine Learning

Classical supervised and unsupervised machine-learning methods, with an emphasis on feature preparation, sound evaluation, and reproducible baselines.

  • Supervised learning
  • Unsupervised learning
  • Linear regression
  • Logistic regression
  • Decision trees
  • Random forests
  • Gradient boosting
  • Support vector machines (SVM)
  • k-nearest neighbors (k-NN)
  • k-means clustering
  • Principal component analysis (PCA)
  • Feature engineering
  • Cross-validation
  • Hyperparameter tuning
  • Train/validation/test splits
  • Model evaluation and comparison
  • scikit-learn

Deep Learning

Deep neural network design, training, optimization, and model evaluation.

  • Neural networks
  • CNNs
  • Transformers
  • Training pipelines
  • Model evaluation
  • Optimization
  • PyTorch
  • TensorFlow

Computer Vision

Computer vision development with focus on image analysis and segmentation.

  • Image processing
  • Image segmentation
  • Feature learning
  • Deep learning vision models
  • PyTorch
  • MONAI
  • CNNs
  • 3D U-Net

Medical Imaging and Medical AI

Experience working with medical imaging data and AI-based analysis.

  • MRI segmentation
  • 3D medical image analysis
  • Volumetric data processing
  • Medical AI experimentation
  • MONAI
  • NIfTI
  • 3D U-Net
  • PyTorch

Natural Language Processing

Developing NLP systems including language models, translation systems, and text processing pipelines.

  • Text processing
  • Tokenization
  • Language modeling
  • Machine translation
  • Information extraction
  • Transformers
  • Hugging Face
  • Tokenizers

Large Language Model Engineering

Building and adapting large language models for practical applications.

  • LLM fine-tuning
  • Instruction tuning
  • Prompt engineering
  • Language model evaluation
  • Transformers
  • Hugging Face
  • PEFT
  • LoRA
  • QLoRA

Retrieval-Augmented Generation

Building retrieval augmented generation systems that connect knowledge sources with language models.

  • Document retrieval
  • Embedding generation
  • Semantic search
  • Knowledge bases
  • Context retrieval
  • Embeddings
  • Vector databases
  • RAG pipelines

Agentic AI and Orchestration

Exploring AI systems with reasoning workflows, tools, and state management.

  • AI agents
  • Tool integration
  • Workflow orchestration
  • Human-in-the-loop systems
  • LangGraph
  • LangSmith
  • MCP

Model Fine-Tuning

Parameter-efficient adaptation of foundation models.

  • LoRA
  • QLoRA
  • PEFT
  • 4-bit quantization

Statistics and Humanities Data Science

Statistical and data-science methods for analyzing humanities-related datasets.

  • Applied statistics
  • Statistical analysis
  • Exploratory data analysis
  • Humanities data analysis
  • Quantitative research
  • Data cleaning and preparation
  • Interpretation of data-driven findings

Software Engineering and Delivery

Software, deployment, and delivery skills used to publish and run machine-learning projects.

  • Git
  • FastAPI
  • Docker
  • MLflow
  • GitHub Actions
  • CI/CD
  • HTML
  • CSS
  • JavaScript
  • Tailwind CSS
  • Django
  • PyQt6

Libraries and tools

Machine Learning Frameworks: PyTorch, TensorFlow, scikit-learn

Computer Vision Tools: MONAI, OpenCV

LLM Tools: Hugging Face, PEFT, Transformers

Mobile Development Frameworks: Flutter

Agent Tools: LangGraph, LangSmith, MCP