See the work
Case studies, interactive DesBots demos, and PhD research — with architecture notes where client work is confidential.
Services
AI engineering and consulting for teams that need production-ready systems — grounded assistants, reliable models, and cloud delivery with clear documentation and handover.
8+
Years in industry & research
PhD
AI & digital health focus
RAG
Live on this portfolio
Cloud
AWS · Azure · M365
How I work
A clear delivery rhythm — no black boxes, regular checkpoints, and measurable acceptance criteria.
01
Discover
Goals, constraints, data access, compliance, and success metrics agreed in writing.
02
Design
Architecture, evaluation plan, and milestone plan with effort and risk called out early.
03
Deliver
Iterative builds with demos, test coverage on critical paths, and staging environments where possible.
04
Hand over
Deployment support, runbooks, monitoring hooks, and a defined support window after go-live.
Core capabilities
Focus areas where I deliver the most value — from research-backed health AI to production LLM systems. Each engagement is tailored; scopes and timelines are agreed after discovery.
RAG systems (search + answer)
Trustworthy assistants grounded in your documents — with citations, governance, and operations you can maintain. A working RAG demo runs on this site under DesBots.
- Ingestion, chunking, metadata, and refresh strategy
- Hybrid retrieval, reranking, caching, and eval sets
- Citations, traceability, and access controls
- Monitoring for retrieval quality, drift, and feedback
LLM fine-tuning & production readiness
Turn a base model into a reliable, on-brand assistant with evaluation pipelines, safety guardrails, and burn-in test suites for consistent real-world behaviour.
- Supervised fine-tuning and training-data strategy
- Automated evals: factuality, safety, refusals, regressions
- Hallucination mitigation and policy-aligned responses
- Cost, latency, and deployment hardening
Machine learning for prediction & decisions
Forecasting, risk scoring, and classification with clean pipelines, robust validation, and deployable models — not notebooks alone.
- Time-series, classification, and regression
- Feature engineering, leakage control, model selection
- Calibration, stability, and fairness metrics
- Deployment, monitoring, and retraining workflows
Blockchain & smart contracts (Web3 + AI)
Secure smart contracts and on-chain/off-chain integration — optionally paired with AI workflows for monitoring and automation.
- Smart contract design, testing, and deployment
- Security reviews and threat modeling
- On-chain/off-chain integration patterns
- AI-assisted monitoring and workflow automation
Federated & privacy-preserving AI
Train across distributed data without centralising sensitive records — suited to healthcare, finance, and regulated environments.
- Federated training and client orchestration
- Secure aggregation and privacy risk analysis
- Cross-site evaluation and drift monitoring
- Edge-friendly deployment and MLOps workflows
Cloud & DevOps engineering
Infrastructure, CI/CD, and observability so models and APIs ship reliably on AWS, Azure, or hybrid stacks.
- AWS and Azure architecture
- Docker, Kubernetes, and serverless patterns
- CI/CD pipelines and infrastructure as code
- Monitoring, alerting, and cost controls
Web & API development
Production front ends and APIs that surface your models — responsive, accessible, and integrated with your backend.
- React and modern static or SSR sites
- RESTful APIs and integration layers
- Auth, rate limits, and secure client patterns
- Performance and accessibility best practices
Additional services
Supporting capabilities often combined with core AI and cloud engagements.
Microsoft 365 administration
Setup, secure, and automate your M365 environment with PowerShell scripting and SharePoint design.
Academic & technical writing
Journal submissions, LaTeX formatting, peer review support for engineering and computer science publications.
Data analytics & visualization
Transform raw data into actionable insights with custom dashboards and analytical solutions.
Technical consulting
Strategic guidance on technology adoption, system architecture, and digital transformation initiatives.
Web3 & smart contracts
Contract design, testing, and on-chain/off-chain integration — optionally paired with AI monitoring workflows.
Technologies I Use
Representative stack — chosen per project requirements.
Python
PyTorch / TF
RAG / LLMs
React
Node.js
AWS
Azure
Docker
PostgreSQL
Git
Discuss your next engagement
Share your goals and constraints — I'll respond with whether we're a fit, suggested next steps, and what a discovery phase would cover.