Most AI initiatives stall in demos. I help you cut through the hype, find where AI genuinely moves the needle, and ship reliable agentic AI, RAG, and LLM systems — with evaluation and ROI built in from day one.
How agentic AI works · plan → act → observe → reflect
A weekend prototype impresses. But getting AI to be accurate, reliable, fast, and cost-effective in front of real users is an engineering discipline — and that's exactly where most teams get stuck.
Outputs that look right but aren't — with no way to measure or control quality.
Prototypes that become unaffordable or unusably slow at real-world scale.
Demos with no architecture, evaluation, observability, or guardrails behind them.
We find the highest-ROI opportunities, kill the ones that won't pay off, and produce a clear, prioritised roadmap.
The right pattern (RAG, agents, fine-tuning), the right models, and a design built for cost, latency and scale.
Production systems on LangGraph/LangChain with tool use, multi-step reasoning, and grounded retrieval.
RAGAs and LangSmith for faithfulness, precision, tracing and continuous benchmarking — quality you can prove.
AI wired into your real stack — Next.js, FastAPI, NestJS — with auth, streaming, and great UX.
I leave your engineers able to own and extend what we built, with patterns and guardrails documented.
We pin down the goal, constraints, and the metric that defines success.
A concrete plan: use cases, system design, models, cost and timeline.
I build with your team or guide them — shipping in tight, evaluated iterations.
Harden, monitor, optimise, and hand over a system your team can own.
Selected engagements. Client names are protected under NDA — what follows is the challenge, approach and measurable result.
A recruiting platform needed to screen and rank high volumes of candidates without adding recruiter hours.
Architected an agentic pipeline — resume ingestion, vector matching, LLM self-reflection scoring, and AI voice interviews via ElevenLabs + WebRTC, made durable with Temporal.
Cut time-to-hire by 40–60% by automating first-round screening end to end.
A medical knowledge product was producing unsafe, unverifiable answers.
Built RAG over verified sources with a RAGAs evaluation framework and LangSmith tracing for faithfulness and precision, run as daily batch evals.
Measurably reduced hallucinations and established continuous quality gates for every AI release.
Clinicians were losing significant time to post-session documentation.
Engineered an LLM feature that auto-drafts SOAP notes from consultations, integrated into the EMR workflow.
Saved roughly 45 minutes per clinician per day, returning time to patient care.
AI features were shipping across teams with no consistent way to measure quality or cost.
Standardised LangSmith for tracing, latency and cost monitoring, with PR quality gates for all AI releases.
Contributed to a ~35% reduction in production incidents over six months.
An AI consultant helps you identify where AI creates real value, designs the right architecture, and either guides or builds the solution. I cover the full arc — strategy, technical architecture, evaluation, and production delivery — so AI becomes a shipped product, not a science project.
You work directly with a Senior AI Architect who has shipped production AI across healthtech, fintech, HR-tech and e-commerce — not a sales team that hands you to juniors. You get senior judgement on architecture, cost, latency, and reliability from day one.
Both. I can deliver a strategy and roadmap, embed with your team to architect and build, or assemble and lead the engineering. Engagements scale from a focused advisory sprint to end-to-end delivery.
Agentic AI systems, RAG and knowledge assistants, LLM evaluation and observability, document and workflow automation, AI search, and AI features inside existing products. If it involves LLMs in production, it's in scope.
Every engagement is tied to a business metric — time saved, conversion lifted, hallucinations reduced, cost per query lowered. I bring evaluation (RAGAs, LangSmith) so quality is measured, not assumed.
Book a no-obligation consultation and leave with a clear next step.
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