United Kingdom
AI Engineer specializing in Agentic AI, RAG systems, Voice AI, and production-grade LLM applications. I build intelligent AI systems that combine large language models, retrieval pipelines, automation, and real-time interaction to solve real business problems. My experience spans AI agents, document intelligence, conversational systems, Voice AI, and cloud-native AI deployments. My technical expertise includes: • Agentic AI & LLM Applications • Retrieval-Augmented Generation (RAG) • Conversational AI & Voice Agents • FastAPI, Python & Backend Systems • LangChain, LangGraph & Tool-Oriented Agents • Vector Databases & Knowledge Retrieval • Real-Time AI Pipelines & Streaming Systems • AI Observability, Evaluation & Guardrails • AWS, Docker & Production Deployments I have worked on production AI systems involving document intelligence, OCR, compliance automation, retrieval systems, speech technologies, and multimodal workflows. My work includes designing scalable AI architectures, integrating APIs, deploying cloud-based inference pipelines, and building reliable user-facing AI products. Tech Stack: Python | FastAPI | LangChain | LangGraph | CrewAI | RAG | LLMs | OpenAI | Hugging Face | PyTorch | ChromaDB | PostgreSQL | Redis | Kafka | AWS | Docker | WebSockets Open to collaborations and opportunities in AI Engineering, Generative AI, Agentic Systems, Voice AI, and Applied Machine Learning.
Working as an AI Data Scientist at RSBB, focusing on building and deploying machine learning, deep learning, and Agentic AI solutions to solve real-world business problems. My role involves designing data-driven models, developing LLM-powered and AI-driven systems, and transforming complex datasets into scalable, production-ready intelligence. I collaborate closely with cross-functional teams to deliver high-impact AI solutions aligned with business goals
Co-founded AIOBC, an AI-focused software company building practical AI, automation, and custom software solutions for businesses. Leading product strategy, AI engineering direction, client communication, and technical delivery across projects involving generative AI, agentic systems, RAG pipelines, backend platforms, and cloud-based applications. Key focus areas: • AI agents and workflow automation • RAG and LLM-powered applications • Python/FastAPI backend systems • API integrations and database-driven platforms • Cloud deployment, scalability, and production readiness • Team leadership, delivery planning, and client-facing solution design
Contributed to the development of an agentic ERP-CRM system, integrating automation, workflow optimization, and intelligent decision-making features. Designed and implemented machine learning and deep learning models for customer segmentation, predictive analytics, and marketing optimization. Applied advanced AI-driven solutions to enhance user engagement, improve retention, and support data-driven business strategies.
• R&D project for Health care eye analysis systems, under the vablet brand • Design and deploy íeal-time data píocessing systems, enabling timely insights extíaction and decision-making • data analysis utilising machine leaíning models and visualisation techniques, uncoveíing actionable insights , handling databases. • Project management of ML/AI App delivery.