Technical competencies
- Python, SQL, APIs, Git, Linux, cloud deployment.
- Data cleaning, data modeling, dashboards, visualization.
- Machine learning, deep learning, LLMs, RAG, agents, evaluation.
- Software architecture, testing, security, monitoring, MLOps.
Business competencies
- Process mapping and operational analysis.
- Use-case selection and prioritization.
- Requirements gathering and stakeholder interviews.
- Change management and adoption planning.
- Writing proposals, scopes, roadmaps, and implementation briefs.
Financial competencies
- Estimating implementation cost, maintenance cost, and usage cost.
- Calculating time saved, cost avoided, risk reduced, and revenue supported.
- Understanding pricing models: fixed scope, retainer, subscription, success fee, revenue share.
- Understanding risk-sharing without fake guaranteed returns.
Ethical competencies
- Data privacy and consent.
- Bias awareness and fairness testing.
- Human oversight and accountability.
- Transparency with users and clients.
- Halal-conscious business boundaries and contract clarity.
Human competencies
- Clear writing and explanation.
- Teaching non-technical people.
- Asking good questions.
- Managing uncertainty.
- Collaborating across engineering, business, and capital.