I architect scalable enterprise systems, build AI-driven platforms, and modernize legacy workflows.
Let's chat about your projectBased in the UK, I have spent the last 17+ years architecting and developing enterprise-scale web applications. I partner with technical recruiters, digital agencies, and B2B startup founders to turn highly complex requirements into robust, beautifully performant platforms.
Whether it's modernizing legacy monoliths, architecting massive payload processing data pipelines for healthcare, or designing omnichannel eCommerce architectures, my focus is always on business impact, speed, and exceptional craft.
Delivering senior-level engineering leadership across three distinct high-value paradigms.
Deconstructing legacy architectures into highly maintainable APIs, resolving database bottlenecks, and building secure, production-ready infrastructure for regulated environments.
Crafting modern, interactive user experiences, integrating LLM/AI voice services (STT/TTS), and engineering lightning-fast real-time streaming platforms.
Architecting transaction pipelines, custom promotion modules, deep POS system integrations, and multi-tenant Shopify/Magento implementations.
Selected enterprise-grade engineering projects demonstrating scale, robust processing, and real business results.
Processing extremely large healthcare images (high-resolution NDPI formats, often multi-GBs) without causing memory exhaustion in background services, while strictly adhering to healthcare data security standards.
Architected a robust, distributed processing pipeline using Node.js and BullMQ. Implemented secure, tile-based image conversion using sharp for memory-safe processing, with efficient streaming to AWS S3, data modeled via Prisma, and strictly protected by Row Level Security (RLS).
Delivered a highly stable, production-ready diagnostic processing system that completely eliminated memory-leak crashes during peak upload periods, enabling healthcare professionals to seamlessly access critical high-resolution scans securely.
Building a fluid, natural conversational training platform that orchestrates multiple external AI models (Speech-to-Text, LLM, and Text-to-Speech) concurrently without breaking the illusion of real-time interaction.
Engineered an event-driven, low-latency gateway using TypeScript and WebSockets. Implemented dynamic audio buffer streaming and complex orchestration logic to harmonize Whisper, Gemini/OpenAI APIs, and TTS services into a single, continuous pipeline.
Achieved a seamless, zero-stutter human-to-AI voice experience. The robust architecture enabled the platform to support continuous, realistic training scenarios without API bottlenecking, significantly enhancing the practical learning outcomes for end-users.
Over 17 years of leading architectural shifts, optimizing mission-critical systems, and building robust enterprise platforms.
Partnering with international clients, B2B founders, and regulated healthcare organizations to architect scalable platforms, modernize legacy systems, and integrate real-time AI solutions.
Led core software teams in designing high-availability internal management APIs, streamlining omnichannel eCommerce frameworks, and modernizing business-critical workflows.
Designed core business pipelines, deep enterprise ERP/POS database integrations, and highly customized commercial modules for high-traffic platforms.
Looking for a senior technical partner to deconstruct legacy systems, engineer secure medical pipelines, or build voice-AI streaming platforms? Drop me a line to discuss your specifications.