Freelancers using DeepAI in United Kingdom
Freelancers using DeepAI in United Kingdom
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Syed Bilal Ahmed
United Kingdom
AI Systems for Agents, Voice, Retrieval & Automation
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AI Systems for Agents, Voice, Retrieval & Automation
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AI 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.
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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.
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Intelligent Invoicing | Document AI, SAP HANA & Financial Automation Role: Senior AI Systems Engineer | Document Intelligence, Financial Automation & SAP Integration An intelligent invoicing platform that automated accounts payable and receivable workflows while integrating directly with SAP HANA. The system used OCR and document intelligence to extract invoice data, validate fields, identify duplicate or suspicious submissions, and generate AI-assisted GL coding recommendations. Invoices were routed through configurable approval workflows based on business rules, user roles, invoice value, and exception conditions. The platform also included supplier performance scoring, SLA monitoring, cash-flow forecasting, role-based access, and complete audit trails designed to support financial governance and SOX-404 compliance. The result was a more controlled financial workflow with reduced manual handling, stronger traceability, and clearer exception management.
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AI Voice Agent | Inbound, Outbound & CRM Automation Role: AI Systems Engineer | Voice AI, Backend Architecture & CRM Automation AI voice agent system for automating inbound and outbound business calls across customer support, appointment booking, lead qualification, and sales workflows. The system processed live audio through low-latency speech-to-text, used LLM reasoning for context-aware conversations, and generated natural spoken responses through text-to-speech. It maintained conversation state, handled interruptions and fallback scenarios, and captured structured information during each call. I connected the voice workflow to CRM systems and external APIs so the agent could update records, qualify leads, schedule appointments, and trigger follow-up actions. The result was a reusable voice automation system that connected customer conversations directly with business operations.
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