Skills
Data Science and AI
Python DS/ML: pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Keras, spaCy, Hugging Face
R Analytics: tidyverse, ggplot2, Shiny for analytics dashboards & web apps
Visualization: matplotlib, seaborn, Altair, Plotly, ggplot2 (R), Shiny dashboards
MLOps & Ecosystems: MLflow, DSPy, Coiled, Hugging Face Hub, AWS SageMaker
Focus Areas: NLP, semantic analysis, RAG / multi-head RAG (mRAG), embeddings, constraint programming
Software testing and automation
Test Automation (Squish, SoapUI, Selenium, Appium, Tosca, Playwright)
Agile Methodologies
API Testing (RESTful, gRPC, SOAP)
Integration Testing for Complex Systems
Database Testing (SQL, Oracle, Test Data Generation, ETL processes, Migration)
Test Strategy and Process Implementation
Test Reporting and results analysis
Coordination of test activities
Test management and traceability tools (JIRA, HPQC/ALM, Azure DevOps)
Programming and Frameworks
Python (MicroPython, Google OR-Tools, SQLAlchemy, gRPC, Reflex, PySide6, DSPy)
C/C++ (Nordic nRF Toolkit, Qt, STM32 ecosystem, gRPC)
Shell (bash)
SQL, PL/SQL, PL/pgSQL
TypeScript/JavaScript (SvelteKit)
Groovy