What I Can Help You Build
I help teams turn ideas into working systems, from data and AI to production-ready software. Pick a service below to see the full process, deliverables, and real projects.
Data & Analytics
Turn raw data into clean datasets, dashboards, and decision-ready insights.
What you get
- Data cleaning and structuring
- Exploratory analysis and KPI definition
- Dashboards and reporting
AI Systems & Model Deployment
Build machine learning systems that run in production via APIs, apps, or edge devices.
What you get
- Model training and evaluation
- Model serving via API
- Deployment and integration
Computer Vision
Detection, classification, and measurement from images or video for real-world use cases.
What you get
- Object detection and classification
- Measurement and counting
- Edge inference on Raspberry Pi
Custom Software & Digital Transformation
Digitize workflows with dashboards and operational systems that improve visibility and efficiency.
What you get
- Internal tools and admin panels
- Real-time monitoring dashboards
- Role-based workflows
Consulting & Training
Practical consulting, architecture reviews, and hands-on training for teams and individuals.
What you get
- System or model review
- Technical direction and roadmap
- Workshops and mentoring
How projects typically run
1) Scope and success criteria
Clarify the goal, users, constraints, and what success looks like.
2) Feasibility and plan
Review available data or systems, identify risks, and propose a practical approach.
3) Build and iterate
Deliver an MVP quickly, then improve based on feedback and real usage.
4) Deploy and hand over
Deployment guide, documentation, and a clean handover so it is maintainable.
What to prepare for a consultation
If you want faster progress, send these in your first email. Even a rough outline is fine.
- Problem statement and who the users are
- Any sample data, screenshots, or current workflow
- Constraints (timeline, device, environment, privacy)
- Expected output (dashboard, API, automation, report)
- Definition of success (accuracy, latency, cost, adoption)