Jul 2025 – Present · 9 mos · London Area, United Kingdom · Remote

• Book: Authored "Multimodal, Real-Time AI Agent Systems," establishing the foundational principles for building the next generation of multi-agent systems.
• Radar: Regularly contribute to O’Reilly Radar, analyzing high-level shifts like "Agentic Commerce" to help technical leaders prepare for the economic and societal impacts of AI agents.
• Expertise: Bridging the gap between raw technical capability and high-level product strategy for an audience of global "alpha geeks" and decision-makers.

Jan 2024 – Present · 2 yrs 3 mos · London, England, United Kingdom · Hybrid

• Drove substantial GenAI business growth for strategic multinational customers by owning
• high-stakes project outcomes, achieving a 24x YoY revenue expansion to $2.3M MRR and
• positioning them as lead consumers of cutting-edge models.
• Defined technical vision for emergent GenAI challenges (e.g., related to model interaction
• and AI agent assessment), translating problems into impactful initiatives via influential
• thought leadership (500K+ views) and developing practical, community-adopted tools and
• technical frameworks.
• Cultivated strategic cross-organizational alliances (e.g., with Google DeepMind) to channel
• customer feedback and influence the product roadmap, leveraging deep domain expertise
• to architect high-impact Google Cloud solutions addressing complex business needs.

Oct 2023 – Jan 2024 · 3 mos · London, England, United Kingdom

• Working with AWS customers to make them successful in their AI/ML journey. Advising all kinds of customers, from early-stage startups to large enterprises.
• Example projects:
• Onboarded one of the largest global pharmaceutical companies onto the AWS ML platform
• (SageMaker). Ensured customer success by developing a custom-made solution based on the
• Hugging Face ecosystem. Grew revenue from $300K to $1.9MM ARR.
• Enabled one of the largest global pharmaceutical companies in the area of Natural Language
• Generation (NLG) with Hugging Face on AWS. Developed bespoke tutorial and code repository
• for the customer’s text summarisation tasks, which is being used by seven teams.
• Launched the Natural Language Processing (NLP) domain within AWS. Grew the
• community to more than 350 active members to scale and coordinate NLP initiatives within AWS. Publishing regular newsletter and resources and making them available externally.Working with AWS customers to make them successful in their AI/ML journey. Advising all kinds of customers, from early-stage startups to large enterprises. Example projects: • Onboarded one of the largest global pharmaceutical companies onto the AWS ML platform (SageMaker). Ensured customer success by developing a custom-made solution based on the Hugging Face ecosystem. Grew revenue from $300K to $1.9MM ARR. • Enabled one of the largest global pharmaceutical companies in the area of Natural Language Generation (NLG) with Hugging Face on AWS. Developed bespoke tutorial and code repository for the customer’s text summarisation tasks, which is being used by seven teams. • Launched the Natural Language Processing (NLP) domain within AWS. Grew the community to more than 350 active members to scale and coordinate NLP initiatives within AWS. Publishing regular newsletter and resources and making them available externally.
• Skills: Artificial Intelligence (AI) · Machine Learning · Natural Language Processing (NLP)

Aug 2020 – Sep 2023 · 3 yrs 1 mo · London, England, United Kingdom

• Working with AWS customers to make them successful in their AI/ML journey. Advising all kinds of customers, from early-stage startups to large enterprises.
• Example projects:
• Onboarded one of the largest global pharmaceutical companies onto the AWS ML platform
• (SageMaker). Ensured customer success by developing a custom-made solution based on the
• Hugging Face ecosystem. Grew revenue from $300K to $1.9MM ARR.
• Enabled one of the largest global pharmaceutical companies in the area of Natural Language
• Generation (NLG) with Hugging Face on AWS. Developed bespoke tutorial and code repository
• for the customer’s text summarisation tasks, which is being used by seven teams.
• Launched the Natural Language Processing (NLP) domain within AWS. Grew the
• community to more than 350 active members to scale and coordinate NLP initiatives within AWS. Publishing regular newsletter and resources and making them available externally.

Jul 2022 – Oct 2023 · 1 yr 3 mos · London, England, United Kingdom

Nov 2021 – May 2024 · 2 yrs 6 mos · London, England, United Kingdom

Oct 2018 – Aug 2020 · 1 yr 10 mos · London, United Kingdom

• Designed and implemented ML models to identify opportunities for contact and concession
• reduction in EU CS. Deployed the model by liaising with several business functions (Retail, Transportation, Warehouses) and identified opportunities for net concession reduction of €68m annually EU wide.

Mar 2017 – Oct 2018 · 1 yr 7 mos · London, United Kingdom

• Leading all projects and initiatives regarding BI, data analytics, and automation for the UK Supply Chain team. Managing all stages of the product lifecycle from stakeholder management and specification to deployment. A selection of projects includes:
• >Designing Tableau dashboard for deep dives into the inbound and outbound
• processes in the UK network
• >Leading the data warehouse migration from Oracle to Redshift for the UK team
• >Designing and developing automation programs to pull, consolidate, and combine
• data from disparate sources
• Designed and implemented a machine learning model combining several algorithms to predict future charges for the UK warehouses. Ran a series of back-tests to validate the accuracy performance of the model. Initiated the pilot phase and roll-out of the model across UK Supply Chain.

Aug 2015 – Mar 2017 · 1 yr 7 mos · London, England, United Kingdom

• Developed algorithm using SQL and Python to trace several billion USD in one of the largest embezzlement cases in recent history. Led multi-national development team to implement the algorithm and to develop tools for the client to enquire the transactional data. Visualised and presented findings to senior litigators and Queen’s Counsel.
• Developed model for global telecommunications provider to predict regulatory fines due to contractual breaches. Reconciled data from 3 disparate databases, converted unstructured, textual information into structured data, loaded and analysed data using SQL and Python.
• Designed recommendation model using item-based collaborative filtering algorithms. Implemented model on AWS using Apache Spark to run on millions of items.
• Led all data-related aspects of complex accounting investigation including data identification, extraction, and analysis. Extracted, transformed, and loaded several terabyte of structured data. Analysed data using SQL, Python (Pandas), and Tableau and presented findings to legal counsel.
• Advised global bank on data extraction and analytics procedures. Developed and implemented algorithm in MS SQL Server to identify intercompany trades and determine ultimate external counterparty. Implemented methodology to reconcile front-office trades with risk consolidation data.

Jun 2014 – Sep 2014 · 3 mos · London, United Kingdom

• Delivering strategic business solutions to clients requiring in-depth analysis of large, disparate sets of financial, operational and transactional data.

Jul 2011 – Jul 2013 · 2 yrs

• Led a multi-functional team of 4 to analyse strategic improvements in the material management for a public sector client. Streamlined processes for better access to vital business information and improved efficiency by 30%.
• Analysed the tracking of parts lifecycle processes at a global energy company. Led a team of 3 developers to streamline the tracking information systems and to eliminate disruptions in the data flow. Improved data quality & reduced data access time by 70%.
• Evaluated the impact of an agile project management tool. Implemented the tool at a global energy company to ensure competitive advantage and to decrease project lifecycle time and project costs by 10%.
• Managed a key account and supported the sales team securing several deals worth over 1 million EUR by building strong client relationships.

Jul 2009 – Jun 2011 · 1 yr 11 mos

• Managed a multi-national project across 6 countries for a global energy company to improve the strategy of intra-corporate sales and purchase processes. Developed and implemented measures to streamline information flow and to speed up processes 5 times.
• Investigated the opportunities for financial hedging mechanisms in the IT systems of a global energy company. Oversaw the team implementing the hedging tools which save the client approximately 10 million EUR annually.
• Implemented Adobe Interactive Forms at a major client in the public sector to eliminate paper-based processes. Improved data quality, reduced input errors by 90%, and reduced process time by a factor of 2.

Mar 2008 – Jun 2009 · 1 yr 3 mos

• Analysed the impact of displacing legacy IT systems for a global semiconductor company. Implemented a CRM system to streamline customer relationship processes and improve data quality, resulting in annual cost savings of 1 million EUR for the client.
• Attained the firm's 'fast track' by consistently performing above expectations, resulting in a promotion after 1 year instead of 2.

Jan 2001 – Jan 2008 · 7 yrs · Munich, Germany

• Developed a server platform based on Linux to make programmable logic controllers accessible via inter- and intranet, and successfully pitched the solution to management.
• Continuously enhanced Panasonic's development platform for programmable logic controllers (PLCs). Developed and implemented the algorithm for syntax highlighting.