Jon-Paul Boyd

CTO

Nyon, Vaud, Switzerland29 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Developed state-of-the-art AI solutions for enterprise clients.
  • Led multiple workshops on AI and cloud technologies.
  • Achieved significant performance improvements in AI applications.
Stackforce AI infers this person is a Cloud and AI Solutions Architect with extensive experience in enterprise-level AI and data engineering.

Contact

Skills

Core Skills

Cloud Solution ArchitectureMachine LearningAi EngineeringCloud EngineeringData ScienceCloud ArchitectureMachine Learning OperationsCloud Solutions ArchitectureData EngineeringSap ArchitectureSap DevelopmentLegacy Systems Development

Other Skills

Azure Machine LearningMLOpsAI innovationworkshop designLangGraph orchestrationdata preparationmodel trainingLangGraphAI optimizationdocument navigationdata cleansingAI-enabled classificationGenAINLPAzure

About

🧑‍💻 Experienced A.I. engineer, lead developer, and cloud technical architect with successful track record providing expertise & delivering complex, cutting-edge, cloud-hosted, AI-enabled & analytics solutions to production for large enterprise. 🧑‍🎓 Graduate Masters Intelligent Systems (distinction), continue to feed my passion for artificial intelligence with daily learning. 😷 For my Masters thesis project I developed an Azure research knowledge base for analysis & search, using 0.5M COVID-19 papers & trials info for evaluation. Designed to support decision-making with timely, highly visual summarisation of the COVID-19 vaccine development landscape, & support time-pressured researchers with effective information retrieval. Automated aggregation of vaccine trials info & visual exploration of the landscape. State-of-the-art search of unstructured academic literature with BERT-based strategies. Outperformed PubMedCentral as evaluated by medical expert. 🏆 Awards: Microsoft Azure Certified (Solution Architect Expert, A.I. Engineer Associate, Data Scientist Associate, Administrator Associate, DevOps Engineer Expert), DeepLearning.AI Generative AI LLMs, Udemy Develop LLM powered applications with LangChain. 🤹 Skills 🌟 Machine Learning & Deep Learning: regression, decision tree, random forest, boosting, classification, clustering, neural networks, fine tuning LLMs for causal generation & sequence classification. Over 50 LLM models built & shared on Huggingface. 🌟 Natural Language Processing: transformer architecture, prompt engineering, in-context n-shot learning, inference parameter tuning, LLM pre-training & domain fine-tuning, custom dataset generation (e.g., T5 seq-2-seq), RLHF (Reinforcement Learning from Human Feedback), vector DBs for knowledge bases & information retrieval, semantic similarity search (symmetric & asymmetric), lexical TF-IDF search, search strategies (re-ranking, hybrid fusion), embedding approaches, LLM evaluation, Generative A.I. lifecycle 🌟 Programming & scripting: Python, Pytorch, LangChain, Pandas, Numpy, spaCY, NLTK, Scikit-Learn, Keras, SQL, HTML/CSS3 🌟 Databases: MS SQL, PostegreSQL, MySQL, MongoDB, ElasticSearch, Azure A.I. Search, Pinecone, Weaviate, SAP HANA 🌟 Azure Cloud: ML, Cognitive Services & Search, Stream Analytics, automation, scalable IaaS, serverless & containerized compute, security, networking 🌟 Frontend: Streamlit 🌟 Other: Docker, Linux, GitHub, Terraform

Experience

29 yrs 9 mos
Total Experience
1 yr 11 mos
Average Tenure
3 yrs 10 mos
Current Experience

Microsoft

Cloud Solution Architect AI

Mar 2025Present · 1 yr 2 mos · Geneva, Switzerland · Hybrid

  • Driving AI innovation with enterprise customers across insurance, pharmaceuticals, and retail on Microsoft Azure. Key highlights:
  • ◾️ Global insurance customer: Designed and delivered hands-on Azure Machine Learning workshop covering the full ML lifecycle, including data preparation, AutoML, model training, deployment, evaluation, and MLOps best practices.
  • ◾️ Global pharma customer: Led comprehensive AI upskilling series with sessions on GenAI fundamentals, RAG, prompt engineering, fine-tuning, SLMs, Document Intelligence & Content Understanding, Azure AI Search, and responsible AI.
  • Additionally, designed and implemented LangGraph orchestration solution for a custom service centre Copilot - a CEO-sponsored strategic AI initiative enabling 5,000+ service engineers to conversationally query 2M+ technical documents. Reduced costs, and troubleshooting answer response times, from 1 minute to ~20s through task parallelism and model optimization, transforming complex document navigation into low latency, structured step-by-step guides tuned to varying personas.
  • ◾️ Nationwide retail customer: Designed & developed a proof of concept focused on competitor product mapping and price comparison, enabling the possibility to bring a capability traditionally delivered by external vendors in-house on Azure. Sophisticated, AI-enabled data cleansing, enrichment and classification pipeline to support attribute-based product filtering and similarity lookups across large product catalogues. Used Azure Machine Learning to orchestrate the data pre-processing, enrichment, mapping logic, and evaluation workflows. Demonstrated comparable product-matching performance to specialist external vendors, but now fully automated.
Azure Machine LearningMLOpsAI innovationworkshop designLangGraph orchestrationCloud Solution Architecture+1

Nordcloud, an ibm company

2 roles

Azure Cloud A.I. Engineer

Oct 2023Present · 2 yrs 7 mos · Geneva, Switzerland

  • ◾️ Driving innovation in GenAI as technical specialist within enterprise GenAI team. Hands-on with entire GenAI lifecycle, from ideation & feasibility study, to prototyping, stakeholder onboarding, implementation, evaluation, operations, security, & compliance. Passionate about sharing knowledge on when & when not to use GenAI, and best practices for prompting and fine-tuning large language models.
  • ◾️Developed avatar assistant for leading European airline, demoed to Satya Nadella A.I. Tour Berlin October 2024. Integrates with external systems through function calling for up-to-date organizational and customer data.
  • ◾️ Developed intelligent feedback funneling service, using NLP for product-specific classification of customer feedback. Included evaluation of different methods including BERT embeddings, tree-base like XGBoost, prompt engineering, GPT causal & sequence classifier models.
  • ◾️ Developed shared summarization service, leveraging GPT models. Pre-engineered prompts with summary styles including extractive, abstractive, creative, formal, keyword-based, thematic, and time-series. Allowed seamless integration into existing workflows and applications across diverse use cases.
  • ◾️ Developed a GPT-4-powered destination recommendation app hosted as an Azure App Service containerized web app. Included dialogue and API call validation, token consumption, and dialogue cost calculation.
  • ◾️ Developed a GPT-4-powered knowledgebase of destination master data. Implemented LLM-as-a-judge for constitutional oversight of generated content for alignment to safety, accuracy, and bias values.
  • ◾️ Provided tailored A.I. and cloud expertise to participants on the Microsoft Startup Accelerator Program.
  • ◾️ Led multiple workshops for startups, guiding them through product evolution strategies on Microsoft Azure. Crafted customized technical architecture blueprints, providing strategic design recommendations to optimize their solutions for innovation, scalability, and governance.
GenAINLPAzureGPT modelscustomer feedback classificationAI Engineering+1

Azure Cloud Architect (Data & ML platforms)

Jun 2022Sep 2023 · 1 yr 3 mos · Geneva, Switzerland

  • ◾️ Developed a concept and implementation for provisioning Azure managed A.I. services (Azure Cognitive Services, Azure Cognitive Search, Azure OpenAI) to multiple consumer teams. Considers deployment patterns, data privacy, secure access, usage tracking, compliance, development practices, and content moderation.
  • ◾️ Developed a GPT-4-powered destination recommendation app hosted as an Azure App Service containerized web app. Included dialogue and API call validation, token consumption, and dialogue cost calculation.
  • ◾️ Developed a concept for MLOps (Machine Learning Operations) to increase the quality, frequency and efficiency in getting ML model changes to production. Implemented with Azure Machine Learning, Azure DevOps YAML CI/CD pipelines, Azure ML Python and CLI SDK as templates for reuse by data science teams. Prepared and delivered MLOps workshops to data science and engineering teams.
  • ◾️ For a global client rollout of Azure Machine Learning PaaS, strategized and developed an outcome-based roadmap with focus on prioritized needs of data science teams. Developed a Terraform IaC solution for provisioning of private, network-secured Azure Machine Learning PaaS for multiple data science teams. Developed least privileges access control concept for Azure ML interaction with data lake. Created a collection of educational, reference notebooks in Azure Machine Learning, with both Python SDK v1 and V2 variants, demonstrating a machine learning workflow from exploratory data analysis to inference.
  • ◾️ For a leading European airline, developed and deployed a concept for operational monitoring of their central data platform guided by SRE best practices. Defined SLI/SLOs for collection of the right telemetry to reflect system health and support root cause analysis. Hands-on implementation of Azure log analytics diagnostics collection via Terraform definition of Azure Policy, Azure Monitor alerts, and kusto queries.
Azure Cognitive ServicesMLOpsTerraformdata privacycomplianceCloud Architecture+1

Ac immune

2 roles

Azure Cloud Solutions Architect (Neuroscience Semantic Search)

Oct 2021May 2022 · 7 mos · Lausanne, Vaud, Switzerland

  • ◾️ Cleansed, digitised, and enriched 30K research articles for a knowledge base providing neuroscience analysts with sub-second response to queries. Over 10,000x faster than legacy search.
  • ◾️ Hands-on, best-practice design, costing, build, configure, deploy, and compliance of Azure services including IaaS, Automation (Python), code-free Logic Apps, Python durable orchestration and activity Function Apps, containerised app services, 3rd party SaaS, storage, key vaults, event grid, and service plans. Azure Monitor (Application Insights) with telemetry logging and metrics for solution monitoring and troubleshooting. Organisation of resources with management and resource groups. Cost management for subscription monitoring and budget alerting. Security with AAD RBAC and MFA, app user authentication with AAD identity provisioning, securing blob access with SAS (Shared Access Signature), system-assigned managed identities and access policies.
  • ◾️ Simplified the archiving of new articles with automation, quality controls, and notifications.
Azure servicesdata cleansingautomationcomplianceCloud Solutions ArchitectureData Engineering

Advanced Analytics Specialist

Dec 2020May 2021 · 5 mos · Lausanne, Vaud, Switzerland

  • ◾️ Solving clinical trial tracking in a highly dynamic landscape for informed decision making. Automated knowledge extraction from multiple sources using Azure machine learning platform pipelines, persistence into Azure PostegreSQL database for dashboarding with Power BI & StreamLit.
  • ◾️ Supporting time-pressured researchers with more effective information retrieval from large-volume biomedical academic literature. Leveraging Microsoft Azure machine learning pipelines for corpus ingestion and cleansing. Heuristics & topic modelling for metadata extraction & document clustering. BERT-based neural network transformer model search strategies for more relevant results. Streamlit with Python for web-based query and knowledge discovery.
Azure MLPower BINLPdata extractionData EngineeringMachine Learning

Corticalstack.ai

Postgraduate MSc Intelligent Systems

Jan 2018Jun 2021 · 3 yrs 5 mos · Geneva

  • ◾️ Research & extensive hands-on data engineering, machine learning & natural language processing.
  • ◾️ Thesis developed an Azure-cloud research knowledge base for analysis & search, using high-volume COVID-19 papers & trials info for evaluation. Automated aggregation of vaccine trials info & visual exploration of vaccine dev landscape. State-of-the-art search with BERT-based strategies. Outperformed PubMedCentral as evaluated by medical expert.
  • ◾️ Implemented type I fuzzy logic inference system in Python to classify breast cancer tumours. Outperformed a tuned Keras neural network.
  • ◾️ Performed full-flow data mining analysis & machine learning to predict risk indicators for Cardiovascular Disease.
  • ◾️ Designed & implemented Heuristic Optimization Platform (HOP) for meta & hyper heuristic optimization of combinatorial & continuous problems including flow shop scheduling & Rastrigin.
  • ◾️ Completed machine learning solution predicting customer behaviour in telecoms (churn, appetency, upselling).
  • ◾️ Implemented solution translating human language into SQL for movie database query.
  • ◾️ Implemented Intrusion Detection System (IDS) using neural network architectures.
  • ◾️ Researched neural networks & NDVI (normalized difference vegetation index) for evaluation of biomass (yield prediction, crop classification).
  • ◾️ Implemented virtual search & rescue robot performing critical objectives including environment mapping, localisation & path planning.
  • ◾️ Written paper on PhD proposal for Augmented Analytics.
  • ◾️ MSc modules: Thesis Project (90%), Research Methods (96%), Artificial Intelligence Programming (80%), Applied Computational Intelligence (88%), Data Mining (80%), Neural Networks (80%), Mobile Robots (97%), Fuzzy Logic (94%), Computational Intelligence Optimization (100%)
  • ◾️ Backend - Python, scikit-learn, pandas, numpy, Keras, PyTorch, matplotlib, seaborn, nltk, MongoDB, Elasticsearch, Linux
  • ◾️ Web - Streamlit
  • Other - Git, GitLab (CI/CD), Docker
data engineeringmachine learningNLPAzureData EngineeringMachine Learning

Nestle s.a.

SAP HANA Technical Architect

Nov 2014Dec 2017 · 3 yrs 1 mo · Geneva Area, Switzerland

  • ◾️ HANA architect and development team lead for operational analytics reporting solution supporting 3000 users. Solid project based and delivery to production expertise in:
  • ◾️ HANA modelling
  • ◾️ HANA XS development
  • ◾️ HANA development best practice
  • ◾️ SAP Fiori analytical applications
  • ◾️ HANA Live
  • ◾️ HANA security model
  • ◾️ HANA system configuration and administration
  • ◾️ HANA system sizing
  • ◾️ HANA performance optimization
  • ◾️ HANA workload management
  • ◾️ HANA database migration and upgrades
  • ◾️ HANA HALM lifecycle management
  • ◾️ HANA Smart Data Access
  • ◾️ Custom XS tooling - performance benching/regression testing/automated security model build
  • ◾️ Google Tag Manager / Google Analytics for tracking SAP Fiori Application usage and user behaviour
SAP HANAHANA modellingHANA securityHANA performance optimizationSAP ArchitectureData Engineering

Bluefin solutions

SAP HANA Consultant

May 2014Oct 2014 · 5 mos · London, United Kingdom

  • ◾️ SAP Certified HANA specialist in SAP HANA information modelling and device to appliance application development.
SAP HANAinformation modellingapplication developmentSAP ArchitectureData Engineering

Hana propulsion laboratory

SAP HANA Technical Architect

May 2013Apr 2014 · 11 mos

  • ◾️ SAP Certified HANA Application Associate (C_HANAIMP131).
  • ◾️ SAP HANA information modelling and native application development on latest SPS07 release.
  • ◾️ Client-side development with SAPUI5/OpenUI5, JavaScript, JQuery, HTML5, CSS3, C++ & Node JS.
  • ◾️ Engineered remote piloted vehicle with real time telemetry to HANA and real time vehicle control via openUI5 browser cockpit with flightstick. HANA data mining for game analytics, implementing achievement and reward system tied to mission objectives and pilot behaviour.
  • ◾️ Completed the following SAP Hana courses
  • ◾️ OpenSAP - Introduction to Software Development on SAP HANA (top 5% of course participants).
  • ◾️ HA100E - SAP HANA - Introduction
  • ◾️ HA300E - SAP HANA - Implementation & Modelling
  • ◾️ HA350E - SAP HANA - Data Provisioning
SAP HANAinformation modellingapplication developmentSAP ArchitectureData Engineering

Nestle

Senior SAP Technical Architect

Apr 2010Apr 2013 · 3 yrs

  • ◾️ Independent ABAP consultant architecting and developing sophisticated WebDynpro ABAP applications including Floor Plan Manager configuration, GUIBB and UIBB development.
  • ◾️ Technical training of offshore project and sustain teams in Web Dynpro ABAP and Adobe Interactive Forms.
  • ◾️ SAP Gateway OData modelling and data provision for mobile solutions.
ABAPWebDynproOData modellingSAP DevelopmentData Engineering

Mind 3 project, sncb-nmbs, belgium

Independent SAP ABAP Consultant

Jun 2008Dec 2009 · 1 yr 6 mos

  • ◾️ Developed object orientated ABAP solutions across the complete spectrum of modules on 3 concurrent implementations of SAP ECC 6 for largest SAP implementation in Belgium,
  • ◾️ Managed team of 4 ABAP developers to implement warehouse RF solution handling shipments.
ABAPSAP modulesdevelopmentSAP DevelopmentData Engineering

Newcastle university

SAP ABAP Consultant

Sep 2006Feb 2008 · 1 yr 5 mos

  • ◾️ ABAP developer within the University’s SAP team, with responsibility for support, development and upgrades of ABAP-related technologies. These technologies include standard ABAP developments, several flavours of “forms”, XI messaging, SOAP messaging and web services.
ABAPSAP modulesdevelopmentSAP DevelopmentData Engineering

Diagonal consulting

SAP ABAP Consultant

Mar 2006Sep 2006 · 6 mos

  • ◾️ ABAP technical team leader responsible for management and delivery of ABAP components for the implementation of the Mercury Ireland SAP/R3 solution.
ABAPSAP modulesdevelopmentSAP DevelopmentData Engineering

Capgemini consulting

SAP ABAP Consultant

Jan 2000Jan 2006 · 6 yrs

  • ◾️ Senior ABAP developer within the SAP competency centre, with responsibility for providing on-going support, consultancy, development and upgrades for several SAP R/3 clients.
ABAPSAP modulesdevelopmentSAP DevelopmentData Engineering

Avalon systems development

SAP ABAP Consultant

Oct 1998Dec 1999 · 1 yr 2 mos

  • ◾️ Consultant for E.D.S project management team, involved in European rollout of SAP EDI for Delphi Automotive Systems. Involved determination of business requirements leading to message design, development, testing and implementation to production platforms.
ABAPSAP modulesdevelopmentSAP DevelopmentData Engineering

Schlumberger

IBM AS/400 Cobol analyst/programmer

Dec 1997Oct 1998 · 10 mos

  • ◾️ Fundamental team player within the M.I.S. department of an oil field services multi-national, providing a significant contribution to continuing development and support of in-house bespoke financial systems as a developer using AS/400 COBOL/400.
AS/400COBOLLegacy Systems Development

Counterpoint systems limited

IBM AS/400 Cobol analyst/programmer

Aug 1995Dec 1997 · 2 yrs 4 mos

  • ◾️ Significant involvement in new and existing product development and support using AS/400 COBOL/400. Experience of taking projects through all stages of the software life cycle from feasibility to implementation often in time-critical conditions.
  • ◾️ Personal management of customer accounts involving daily communication and regular on-site contact with international clients from front-end users to board level management.
AS/400COBOLLegacy Systems Development

Bishopsgate marketing services ltd

IBM AS/400 Cobol analyst/programmer

Apr 1994Aug 1995 · 1 yr 4 mos

  • ◾️ Key AS/400 COBOL/400 developer for a software house producing freight management packages for international freight forwarding companies.
AS/400COBOLLegacy Systems Development

Education

De Montfort University

MSc Intelligent Systems — Artificial Intelligence

Jan 2017Jan 2021

Darlington College of Technology

Jan 1988Jan 1990

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