About me

I'm a Senior AI Engineer contracting into the NHS and regulated financial services. I build enterprise RAG systems, LLM orchestration pipelines, and the cloud infrastructure that runs them — currently production voice agents on Azure AI Foundry for Hudson and Hayes, following a multi-agent KYC platform for Ardonagh Specialty that took client onboarding from weeks to hours.

At NHS South Yorkshire ICB I delivered a production RAG platform serving 1.4 million residents with zero hallucination incidents, 90% accuracy validated against NHS clinical guidelines, and query resolution cut from 12 minutes to under 30 seconds — 3,000+ monthly active users at a 94% success rate. That work runs on Azure AI Agent SDK, LangGraph, LangChain, and Azure AI Search, on Full Stack and DevOps foundations of CI/CD, Kubernetes, and Terraform.

I've contracted since 2022 — Citadel Health, TSG, NHS South Yorkshire, Ardonagh — and I take one or two engagements at a time, full-time, fractional, or advisory. I stay through production handover, not just the build. If you have an AI system that has to survive real users, real data, and a real audit, that's the work I do.

🚀 Cloud-Native Solutions
🤖 AI Integration Expert
Performance Optimization
🔧 DevOps & Automation

What I'm doing

  • design icon

    Full Stack Web Development

    Crafting responsive, scalable, and secure web applications using modern technologies.

  • Web development icon

    API Design and Integration

    Building robust APIs and integrating them seamlessly for efficient data exchange.

  • camera icon

    AI Integration

    Leveraging advanced AI solutions to automate processes and enhance user experiences.

Certifications

  • AWS Solutions Architect

    AWS Solutions Architect

    Completed the AWS Solutions Architect course with extensive training in designing scalable, secure cloud architectures.

  • AWS Cloud Practitioner

    AWS Cloud Practitioner

    Earned the AWS Cloud Practitioner certification, demonstrating a solid understanding of core AWS services and cloud fundamentals.

  • Shopify Course – SuperHi

    Shopify Course – SuperHi

    Completed the Shopify Course at SuperHi, acquiring expertise in building engaging and robust e-commerce platforms.

  • Data Engineering Program – AI Core

    Data Engineering Program – AI Core

    Graduated from the Data Engineering Program at AI Core, specializing in efficient data pipeline design and analytics.

GitHub Portfolio

25+ Public Repositories
150+ Commits This Year
8 Languages Used
5+ Active Projects
Usman Bukhari

Syed Usman Bukhari

@UsmanBuk

Senior AI Engineer | Healthcare Technology | Enterprise RAG

25 Repositories
12 Followers
18 Following

Resume

Professional Resume

Complete overview of my experience, skills, certifications, and achievements

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Detailed Technical Resume

In-depth technical documentation with project details, code samples, and comprehensive skill breakdowns

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Education

  1. BSc Engineering Mathematics – University of Bristol

    September 2016 - July 2019

    Completed a rigorous program combining advanced mathematical theories and practical problem-solving, laying a strong foundation for analytical and technical excellence.

Experience

  1. AI Engineer – Hudson and Hayes

    April 2026 – Present
    • Architecting production voice agents on Azure AI Foundry, using the GPT-4o Realtime API for low-latency speech-to-speech conversations with function calling that executes tools and actions during live calls.
    • Wiring Azure Communication Services for telephony and Azure Speech Services for speech-to-text and text-to-speech, combined with custom knowledge grounding to deliver domain-specific responses across inbound and outbound call flows.
    • Building evaluation and observability pipelines that track call quality, latency, and tool-call accuracy in production — feeding live conversation data back into iterative prompt and agent refinement.
  2. AI & Full Stack Engineer – Coex (Client: Ardonagh Specialty)

    February 2026 – April 2026
    • Designed and shipped a KYC onboarding platform end-to-end for Ardonagh Specialty — React/TypeScript frontend, Python FastAPI backend, Azure-hosted — replacing a manual analyst workflow and cutting time-to-onboard from multiple days/weeks to hours.
    • Built a multi-agent system on Azure AI Foundry (GPT-4o) that autonomously gathers and reconciles client data across Companies House, LexisNexis WorldCompliance, and internal PAS, producing structured risk summaries that analysts review rather than assemble.
    • Engineered resilient API integrations with Companies House (PSC/UBO lookups), LexisNexis (sanctions, PEP, adverse media screening), and internal databases — including caching, retry, and rate-limit handling — keeping end-to-end agent runs under 30 seconds per case.
    • Productionised the end-to-end workflow with Azure Logic Apps as the orchestration backbone — monitoring inboxes, triggering on inbound client emails, routing attachments through Azure Document Intelligence to extract PDF and structured data, and automatically creating cases in MongoDB ready for agent enrichment — alongside the full-stack foundations (auth, audit logging, role-based access) needed to run agents safely in a regulated compliance environment.
  3. Gen AI Engineer & Data Architecture Specialist - NHS - South Yorkshire ICB

    May 2025 - February 2026
    • Built a generic web scraper using Crawl4AI to extract healthcare service data from 50+ regional websites, supporting unemployment and healthcare access initiatives in South Yorkshire.
    • Engineered a daily data pipeline running on Azure Functions with queue and timer triggers, automating ingestion, transformation, and enrichment of scraped data.
    • Standardised outputs into AI-ready JSON schemas, enabling seamless integration with NHS systems and downstream applications.
    • Integrated the pipeline with Azure AI Search using vector embeddings for semantic retrieval, improving discoverability and relevance of healthcare services across diverse datasets.
    • Deployed a Microsoft open-source chatbot framework, connected to the indexed data, allowing citizens to query healthcare/unemployment services via natural-language search.
    • Applied LLM-oriented enrichment techniques (auto-tagging, summarisation, service clustering, and missing metadata generation) to improve data quality and categorisation.
    • Leveraged LangChain orchestration to combine retrieval-augmented generation (RAG) with Azure AI Search, ensuring consistent, context-aware chatbot responses aligned to NHS data sources.
    • Experimented with generative AI for synthetic data generation to test pipeline robustness and fill gaps in underrepresented service categories.
    • Collaborated with NHS stakeholders to ensure the solution aligned with regional healthcare accessibility and unemployment support goals.
  4. Sage Intacct Full Stack Developer & Solutions Architect – TSG/Dayta (Sage Partner)

    June 2024 – April 2025
    • Designed and implemented robust backend systems and RESTful APIs to power modern web applications.
    • Managed and optimized cloud infrastructure to ensure high availability and peak performance.
    • Automated deployment workflows using Kubernetes and Terraform, reducing manual overhead.
    • Integrated CI/CD pipelines to streamline continuous delivery and accelerate time-to-market.
    • Developed a Node.js/Express integration connecting Sage Intacct with IMP, a budgeting software tool, for seamless financial data exchange.
    • Led the transition to a microservices architecture, reducing downtime by 40% and doubling system capacity.
  5. Full Stack Engineer – Citadel Health

    Jan 2022 – Feb 2024
    • Laboratory Information Management System (LIMS): Developed a comprehensive LIMS leveraging Python, integrating custom APIs designed in Django for efficient laboratory data management.
    • Enhanced the user interface with a React-based front-end and utilized Python's data handling capabilities (using libraries such as Pandas and NumPy) to process and manage complex laboratory data sets.
    • Optimized API performance, reducing response times and improving data retrieval efficiency.
    • Delivered a fully serverless API, minimizing infrastructure costs and maintenance overhead.
    • Improved security and scalability using AWS Cognito, API Gateway, and Lambda.
  6. Software/Data Engineer – Chalkys.com

    Jan 2019 – Jan 2022
    • Developed and maintained Chalkys.com, a Shopify-based e-commerce platform, improving functionality and user experience.
    • Integrated OpenAI API to generate AI-powered product descriptions, enhancing content quality and efficiency.
    • Implemented Google Search API and Discogs API to automate data scraping and fill in missing product information, ensuring accurate and comprehensive listings.
    • Designed machine learning models to extract, verify, and format critical data like tracklists, reducing manual workload and improving accuracy.
    • Designed and implemented ETL pipelines using AWS services and Python, optimizing data workflows and enhancing backend processes for increased operational efficiency.

Contract / Freelance Work

  1. Full Stack Engineer – Mozaic Consulting (Client: SBTi)

    Nov 2025 – Present
    • Extensively debugged and resolved complex issues across a React frontend and FastAPI backend application for SBTi, a company helping organizations achieve net zero emissions.
    • Worked with BigQuery and PostgreSQL databases to investigate and fix data-related issues.
    • Deployed and managed infrastructure on Google Cloud Platform (GCP).
  2. Full Stack & DevOps Engineer – TIC.UK

    July 2024 – Present
    • Manage PHP/Laravel based ATOL application and a custom CRM application for travel industry operations.
    • Built a FastAPI-based API from scratch for Myatol, serving 20+ clients with real-time travel booking functionality.
    • Built out automation workflows to streamline business processes and improve operational efficiency.
    • Migrated infrastructure from AWS to Digital Ocean, optimizing costs and performance.
    • Built a comprehensive CI/CD pipeline using GitHub Actions for automated testing and deployment.
    • Managed and enhanced company WordPress website, improving user experience and functionality.
    • Used low-code tools like Lovable to build out custom applications for travel agencies, accelerating development timelines.
  3. API Engineer – Anglestack

    Jan 2024 – July 2024
    • Developed serverless APIs using AWS API Gateway, Lambda, and DynamoDB to provide construction companies access to building data.
    • Implemented authentication & role-based access control with AWS Cognito for secure API access.
    • Built the frontend using React & Next.js, integrating AWS Amplify for deployment and scalability.
    • Managed source control and CI/CD workflows using Bitbucket, ensuring efficient collaboration and deployment.

My Skills

  • Python
    90%

    Data processing, web development, and automation scripting.

  • JavaScript
    85%

    Dynamic UI development and SPA creation.

  • TypeScript
    80%

    Strongly-typed JavaScript for scalable applications.

  • SQL
    85%

    Efficient querying and database optimization.

  • Liquid
    70%

    Shopify templating language for e-commerce.

  • C#
    80%

    Desktop and web applications using .NET.

  • HTML/CSS
    95%

    Responsive, semantic, and accessible web layouts.

  • Golang
    75%

    Efficient, concurrent systems programming.

  • Node.js/Express
    85%

    Building scalable APIs and server-side applications.

  • Django
    80%

    Robust web applications with Python's Django framework.

  • Flask
    75%

    Lightweight APIs and web apps with Flask.

  • React
    85%

    Dynamic and responsive front-end development.

  • Angular
    70%

    Structured, scalable single-page applications.

  • Git / GitHub
    90%

    Version control and collaborative development.

  • Docker/Containers
    85%

    Containerizing applications for consistent deployments.

  • Jira
    70%

    Agile project and task management.

  • Redis
    75%

    High-performance caching and data storage.

  • Cursor
    70%

    Low-code tool for rapid application development.

  • VSCode
    95%

    Feature-rich code editor with extensive extensions.

  • Codev
    70%

    Collaborative development and code review tool.

  • OutSystems
    60%

    Enterprise low-code platform for rapid digital transformation.

  • ChatGPT
    85%

    AI conversational tool for creative and technical tasks.

  • Midjourney
    80%

    AI-powered tool for generating creative visuals.

  • DALL·E
    75%

    Generative AI for creating images from text descriptions.

  • Stable Diffusion
    80%

    AI tool for high-quality image synthesis and editing.

  • LangChain
    70%

    Framework for building applications with language models.

  • AWS Lambda
    85%

    Serverless compute service for event-driven functions.

  • AWS API Gateway
    80%

    Managed service for building and hosting APIs.

  • AWS Cognito
    75%

    User authentication and access control for web and mobile apps.

  • AWS DynamoDB
    80%

    NoSQL database service with fast performance at scale.

  • AWS CloudFormation
    70%

    Infrastructure as Code for provisioning AWS resources.

  • AWS EC2
    85%

    Scalable virtual servers for hosting applications.

  • AWS Fargate
    80%

    Serverless container management.

  • AWS ECS
    80%

    Managed container orchestration for Docker applications.

  • AWS ECR
    75%

    Secure container image registry.

  • AWS EKS
    75%

    Managed Kubernetes service for containerized applications.

  • AWS Amplify
    80%

    Deploying full-stack cloud applications.

  • AWS CodeBuild
    70%

    Continuous integration service for building and testing code.

  • AWS CodePipeline
    70%

    Automated continuous delivery pipelines.

  • AWS CodeDeploy
    70%

    Automated application deployment service.

  • AWS Route 53
    80%

    Scalable DNS and domain management service.

Portfolio

50+ Debug Exercises
2 AI Products
5+ Years Experience
NHS Current Role

Contact

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Professional Development

8+ Courses Completed
285+ Hours of Learning
4 Platforms
Udemy
Intensive

Master Python by Building 100 Projects in 100 Days

Intensive Python bootcamp with 100 hands-on projects covering web development, data science, and automation.

Python Flask Django APIs Automation
IBM via Coursera
Professional

IBM Full Stack Software Developer Professional

Comprehensive program covering full-stack development with modern technologies and industry best practices.

React Node.js Python Docker Kubernetes
Udemy
Advanced

Master JavaScript from Scratch

Complete JavaScript mastery including jQuery and React JS with hands-on projects and real-world applications.

JavaScript jQuery React DOM
Databricks via Udemy
Certification

Databricks Certified Data Engineer Associate

Professional certification preparation covering data engineering fundamentals, ETL processes, and big data analytics.

Spark SQL ETL Data Lakes
IBM
Specialization

Python for Data Science, AI & Development

Comprehensive introduction to Python for data analysis, machine learning, and AI application development.

Python Pandas NumPy Machine Learning
IBM
Cutting Edge

Generative AI: Introduction and Applications

Latest developments in generative AI, covering GPT models, prompt engineering, and practical AI applications.

Generative AI GPT Prompt Engineering LLMs
AWS
Certification

AWS Solutions Architect Associate

Comprehensive training in designing scalable, secure, and cost-effective cloud architectures on AWS platform.

AWS Cloud Architecture EC2 S3 VPC
AWS
Certification

AWS Cloud Practitioner

Foundational understanding of AWS cloud services, security, pricing, and core architectural principles.

AWS Cloud Fundamentals Security Pricing Best Practices