AI/ML Engineer
Currently at Datavalley Inc · Based in London · Open to AI/ML Engineering Roles
I build the systems behind the AI — RAG pipelines, multi-agent coordination, and MLOps infrastructure. Not demos. Production.
12%
Conversion Lift in Production
15+
Automation Pipelines Shipped
2,000+
Resumes Processed (OCR Pipeline)
100+
Learners Trained
What I Build
Systems engineered for production reliability, not proof-of-concept
Production RAG Systems
Retrieval pipelines built for honesty — graded retrieval quality, inspectable run outcomes, no silent failure.
Agentic Workflows
Multi-agent coordination with explicit contracts, state management, and observable failure modes.
MLOps Infrastructure
Behavioral scoring models, automation pipelines, monitoring and retraining in production environments.
Featured Projects
View AllRAG Axis
Production RAG systems hide failure inside confident output. RAG Axis makes retrieval truthful, inspectable, and reproducible.
Agiorcx
Agentic systems fail unpredictably when agents have no execution contracts. Agiorcx enforces governed, observable coordination.
Cordax
Agent-to-agent coordination has no standard contract layer. Agents delegate tasks, share context, and make decisions without formal execution boundaries.
AI Prims (aiprims)
AI runs have no stable identity over their inputs. When behaviour changes between runs, there is no mechanically traceable record of what changed.
Currently open to AI/LLM Engineering roles in London
Hybrid or remote. UK Graduate Route Visa. Full-time work authorised. No sponsorship required.
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