AI Agent Development Projects in United KingdomAI Agent Development Projects in United KingdomAI Calling Agent | Real-Time Voice AI & Human Escalation
Role:
AI Systems Engineer | Voice AI, RAG & Backend Infrastructure
A real-time AI calling agent for customer support, lead qualification, and automated phone conversations.
The system combined live speech recognition, LLM reasoning, RAG-based knowledge retrieval, natural voice synthesis, and conversation-state management inside a low-latency asynchronous pipeline.
I designed the workflow to understand callers, retrieve approved business context, collect structured information, respond naturally, and escalate complex conversations to a human when needed.
The architecture included interruption handling, fallback logic, caching, transcript logging, observability, and resilient API orchestration.
The result was a controlled voice AI system that could manage routine conversations while preserving reliable human handoff for cases outside the agent’s scope. AI Operations Copilot | RAG, Agents & Workflow Automation
Role:
AI Systems Engineer | LLMs, RAG, Backend & Automation Architecture
An AI operations copilot that connected CRM data, Notion, internal knowledge, and third-party APIs into one context-aware operational system.
I designed a RAG pipeline with agent orchestration to retrieve business context, reason across workflows, generate structured recommendations, and execute approved actions through connected tools.
The system supported natural-language queries, automated reporting, workflow recommendations, and operational task execution.
A FastAPI backend handled asynchronous processing, API coordination, structured logging, retry logic, and failure recovery.
The result was a unified operational layer that reduced repetitive manual work and helped teams retrieve information, make decisions, and trigger actions more efficiently. 
