| Banking | Analytics pipeline, data lake, prediction models, optimisation, recommenders |
| Cybersecurity | NLP pipeline, custom models |
| E-commerce | Analytics pipeline, policy optimisation, low-latency recommenders, visualisation |
| Engineering | Cloud scale-out and real-time operational dashboard of data platform |
| Fintech | NLP pipeline, RaG, performance optimisation |
| Health care | Schedule/route optimisation, data visualisation |
| Logistics | Operational backend |
| Recruitment | NLP/Machine Vision models, data normalisation, custom annotation |
| Retail | Markdown optimisation |
| Transportation | Reingineering for scale and performance |
| Wearables | MLOps, orchestration, process optimisation |
| Web analytics | Pageview analytics, workflow orchestration, pipeline optimisation |
| Machine Learning | PyTorch, TensorFlow, scikit-learn, LightGBM, XGBoost, MLflow |
| NLP, CV & AI | HuggingFace, spaCy, OpenCV, LangChain, SBERT, FAISS |
| Statistical models | PyMC, CausalPy, EconML, statsmodels |
| Optimisation | PuLP, CVXOPT, Gurobi, HiGHS, MiniZinc, Gecode |
| Data Visualisation | Tableau, Looker, D3.js, Folium, Leaflet |
| Proto / Low-code | Streamlit, Gradio, Retool |
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| Analytics | Spark (Python, Scala, Java), Delta Lake, Redshift, Athena, BigQuery |
| Orchestration and infra | Airflow, AWS Batch, K8s, Terraform, GitHub CI/CD, Gitlab CI/CD, Codeberg CI |
| Python data | Polars, Pandas, DataFusion, NumPy, SciPy |
| Streaming & real-time | Kafka, Kinesis, Arroyo, Redis |
| Scraping & extraction | BeautifulSoup4, Selenium |
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| Python backends | FastAPI, Flask |
| C++ | Eigen, RocksDB, boost.asio, pybind11 |
| Rust | Tokio, axum, PyO3 |
| JS I/O microservices | Node.js |
| Go backends | Gin, gRPC |
| Scala backend | Play |