OUR TEAM & ADVISORS ADVISORS
At T3, every engagement is led by a senior practitioner who has held the role your challenge demands, not a generalist with a methodology deck. Our team combines former regulators, CROs, COOs, Chief AI Officers as well as Cambridge and Stanford researchers, who now work directly with your organisation to govern, test and de-risk AI.
Whether you need EU AI Act compliance, adversarial red teaming, model risk validation, or full AI governance buildout, you work with the people who have done it before, at scale, in regulated environments where failure was not an option.
Lana H.
Co-founder & Head of AI Assurance (T3 Partner)
- Risk and technology leader with a career across EY, IBM, and Credit Suisse, specialising in the safe deployment of AI in high-risk, regulated industries
- Former Global COO & Chief Risk Innovation Officer at Credit Suisse, where she led a risk technology transformation, incl. real-time risk infrastructure and pre-trade digitisation
- Ex- IBM, designing frontier data & analytics solutions for regulated risk clients
- Leads adversarial red teaming of frontier and agentic AI systems, covering prompt injection, jailbreaks, data poisoning, and model extraction
- Oversees independent third-party AI assurance audits against EU AI Act conformity requirements, ISO/IEC 42001 controls, and bespoke model risk frameworks
- Designs end-to-end AI governance operating models for COOs, CDOs, and CTOs, custom GRC integrations, AI control libraries, and real-time assurance infrastructure
Amine K.
Analytics, Risk & Machine Learning Expert (Advisor)
- 15+yr in Financial Services, merging trading, risk management & machine learning expertise
- Worked for top-tier European banks, incl. BNP Paribas and Credit Suisse
- Expert in credit trading strategies, performance metrics, & risk optimization, as well as market risk analytics, predictive modeling, and cross-asset risk management
- Adept at developing decision-making dashboards using SAP, Oracle, Hyperion
- Machine Learning researcher with a focus on AI in finance
- Machine Learning PhD candidate in Economics & Finance, UCL
Dr Giovanni B.
Regulatory Technology & AI Expert (Advisor)
- Renowned Expert in FinTech and SupTech Applications – specializing in Cutting-Edge AI and Machine Readable Innovations
- Executive Director of the Cambridge Regulatory Genome Project (RGP) – a Multi-Million-Dollar public-private Research Initiative of the University of Cambridge
- RegTech mentor for the FCA’s Supercharged AI Sandbox
- Current IMF Securities Markets and FinTech Consultant, World Bank Advisor for Securities Markets – Financial Stability Assessment Program
- Former Qatar Financial Centre Regulatory Authority Director of Supervision, and IOSCO Investment Management Committee member
- PhD in Securities Law coupled with a BSc/MSc Finance and LL.M in EU Business Law
Dr Sven A.
AI Engineer specialising in Prompt Engineering
- PhD Stanford graduate with deep expertise in AI engineering and prompt engineering
- Delivered prompt engineering training (Copilot, Chat GPT & Claude) for major global organisations, customised to their internal stack
- Strong background in software engineering within big tech environments
- Proven ability to design, optimise, and scale high performing AI solutions across diverse use cases
- Continuously up to date with the latest AI technologies, tools, and methodologies
Dr Nadia K.
AI and Machine Learning Specialist
- PhD in LLM Evaluation, AI and machine learning specialist with experience across healthcare and technology sectors Microsoft, Paypal & Oracle
- Led multiple AI initiatives that improved operational efficiency and business outcomes
- Expert in developing and deploying machine learning models that drive innovation
- Strong foundation in data science and analytics to inform strategic decision making
- Highly effective in collaborating with cross functional teams to integrate AI into existing processes
Dr Joseph B.
Red Teaming and AI Evangelist Specialist
- AI red teaming specialist focused on adversarial ML, LLM security, and safety assurance for agentic and autonomous systems.
- Hands on experience testing for prompt injection, jailbreaks, data leakage, model inversion, hallucination propagation, tool misuse, and agent escalation risks.
- Applies formal AI assurance techniques including model evaluation, robustness testing, alignment checks, and human in the loop control design.
- Deep familiarity with AI governance frameworks, policy enforcement layers, and runtime guardrails for production LLM and multi agent systems.
- Actively contributes to AI security and safety discourse through technical workshops, research driven talks, and practitioner led publications.
Dr Lie H.
Agentic AI Researcher and Applied AI Specialist
- PhD in Agentic AI, with doctoral research focused on autonomous multi agent systems, decision making under uncertainty, and human in the loop control frameworks.
- Postdoctoral research in Agentic AI applications for the defence sector, designing secure, auditable agent based systems for mission critical environments.
- Hands on experience building and orchestrating agent systems using LangGraph, AutoGen, CrewAI, LangChain, and Semantic Kernel.
- Applied Agentic AI across defence use cases such as decision support, situational awareness, task orchestration, and risk based prioritisation.
- Strong focus on AI safety, control, and assurance, using tools such as OpenAI Evals, DeepEval, Giskard, and red teaming techniques to test agent behaviour.
- Active contributor to Agentic AI research and thought leadership, bridging academic work with real world deployment.
Harshita K.
AI Engineer – Full Stack
- Full stack AI engineer delivering end to end AI powered applications, from data ingestion to production deployment.
- Experienced with leading foundation models including GPT 4.1, Claude 3.5, Gemini, LLaMA 3, and Mistral.
- Builds retrieval augmented and agent enabled systems using Pinecone, Weaviate, FAISS, and Chroma.
- Strong in backend and API development with Python, FastAPI, and scalable frontend delivery using React, Next.js, Streamlit, and Gradio.
- Experienced in MLOps and lifecycle management using MLflow, Weights & Biases, Kubeflow, and containerised deployments.
- Works closely with product and design teams to deliver reliable, user focused AI solutions.
Rahul K.
AI Engineer – Full Stack
- Full stack AI engineer specialising in enterprise AI delivery within the Microsoft ecosystem.
- Deep experience with Azure OpenAI Service, Azure AI Studio, Microsoft Fabric, Synapse, and Power Platform.
- Builds secure, production ready AI solutions integrated with Microsoft 365, Teams, SharePoint, and Dynamics.
- Implements agentic and RAG architectures using Semantic Kernel, LangChain, and enterprise vector stores.
- Strong background in data engineering and integration using Databricks, Snowflake, Azure Data Factory, and dbt.
- Delivers AI systems with built in governance and monitoring, leveraging ModelOp, Fiddler, and Azure security controls.
Olga K.
AI Adoption & Transformation
- Leads AI use case definition, scoring, and tool selection for clients
- Work on integration of Open AI / Claude across client platforms
- Focuses on projects involving advanced data integration, aggregation, and lineage, working with platforms such as Palantir, Microsoft, IBM, Google, and other leading providers.
- Supports the governance and coordination of decentralised AI teams, ensuring alignment across business, risk, and technology functions.
- Works closely with data science and engineering teams to deliver innovative solutions across key domains, including regulatory intelligence and reporting.
- Designs and implements AI driven risk analysis and continuous monitoring capabilities.
- Delivers AI enabled conduct risk and surveillance solutions to strengthen oversight and regulatory confidence.
Siyi L.
China-UK AI Policy Specialist (Advisor)
- PhD in Digital Geography (UCL) on cross-border data sharing and regulation across Mainland China, Hong Kong, Macau, and the EU (GDPR).
- Postdoc in AI policy (Cambridge) focused on global collaboration, geopolitics, and international regulation.
- Bridges Western and Asian AI regulation and innovation, turning policy into practical technical and business roadmaps.
- Advises firms on aligning UK AISI, the EU AI Act, and China’s AI rules (e.g., TC260, 2026 Cybersecurity Law) for cross-border compliance.
- Helps organisations stay ahead of fast-moving requirements and reduce financial and reputational risk.
Arun A.
AI Engineer – Applied AI (Advisor)
- MSc AI for Sustainable Development at UCL, with research focused on adversarial robustness & failure modes in multimodal agentic systems
- Builds and evaluates production AI solutions, spanning NLP pipelines, document intelligence, and LLM-integrated applications
- Hands-on experience in adversarial testing of vision-language models, incl. Universal Adversarial Perturbations against agentic systems and mechanistic interpretability using sparse autoencoders
- AI Safety Researcher at Encode London, with a focus on agentic failure modes, evaluation frameworks & responsible deployment & Melton Foundation Senior Fellow
- Former Research Engineer at the Centre for Data for Public Good (CDPG), Indian Institute of Science
Dr Alberto P.
Senior Data Scientist & AI Tech (Advisor)
- 6 years as Oracle VP/Chief Data Scientist, built AI use cases across ERP, HCM, CX for enterprise clients. Knows the difference between viable AI and hype
- Built and deployed use case scoring and prioritisation at Oracle across 1,000s of features for 10,000+ corporate customers
- Deep data systems knowledge (SAP, Oracle, cloud platforms), can credibly assess HSF’s current infrastructure and readiness
- PhD physicist with Stanford and Imperial College pedigree, brings rigour without jargon
- Trustee at ECT Charity (2024–Present), a London-based charity focused on providing transportation solutions for disabled children and elderly people
Sara C.
AI & LLMs Specialist (Advisor)
- Co-author of two published research papers on LLMs, contributing to the taxonomy, evaluation, and practical application of modern LLM technologies in collaboration with UCL researchers
- Designed and developed an end-to-end LLM recommendation and decision-support platform as a dissertation project, combining explainable AI, retrieval-augmented generation (RAG), transparent recommendation algorithms, and enterprise-focused AI governance to support informed model selection
- Built AI-powered applications spanning wellbeing, productivity, and enterprise AI, integrating state-of-the-art language models, voice interfaces, recommendation systems, and automation into real-world products
- BSc Computer Science from University College London (UCL), awarded First Class Honours
Ali A.
AI Engineer & Software Developer (Advisor)
- AI engineer and software developer with experience building practical AI solutions, full-stack applications, and automation tools across consulting, enterprise, and education
- Contributed to the development of a AI Tool, working across the backend and frontend, as well as designing and maintaining vendor data ingestion pipelines, data cleansing and validation processes, and the underlying AI vendor knowledge base
- Built production-ready applications using Python, TypeScript, React, Next.js, Nuxt, PostgreSQL, and modern AI frameworks, with a focus on scalable, reliable, and user-friendly solutions
- Experienced in generative AI, retrieval-augmented generation (RAG), and LLM-based systems, turning emerging technologies into practical products that solve real business problems
- MEng Computer Science at University College London (UCL)
Rosen K.
AI Architect & Platform Engineer — Generative AI
- AI architect and platform engineer with 10+ years of overall engineering experience, specialising in production-grade Generative AI for regulated and safety-critical environments
- Technical lead for multi-tenant SaaS and enterprise Generative AI platforms
- Builds RAG pipelines and agentic architectures using LangChain and LangGraph, delivered cloud-native and multi-region on Azure
- Owns solution architecture end to end — high- and low-level design, APIs (Python, FastAPI), secure cloud infrastructure, and front-end delivery
- Strong platform foundation: Kubernetes, Terraform, CI/CD, and zero-trust deployment architectures for regulated sectors including finance, insurance, and automotive
- MSc in Engineering, Politecnico di Milano; represented an award-winning engineering practice at the Queen’s Awards for Enterprise reception at Buckingham Palace (2019)
Want to join us?
Please click the button Apply Now
Our Team
Senior practitioners,
not generalists
At T3, every engagement is led by a senior practitioner who has held the role your challenge demands, not a generalist with a methodology deck. Our team combines former regulators, CROs, COOs, Chief AI Officers as well as Cambridge and Stanford researchers, who now work directly with your organisation to govern, test and de-risk AI.
Whether you need EU AI Act compliance, adversarial red teaming, model risk validation, or full AI governance buildout, you work with the people who have done it before, at scale, in regulated environments where failure was not an option.
Dr Lie H.
Agentic AI Researcher & Applied AI Specialist (Advisor)
- PhD in Agentic AI, with doctoral research focused on autonomous multi agent systems, decision making under uncertainty, and human in the loop control frameworks
- Postdoctoral research in Agentic AI applications for the defence sector, designing secure, auditable agent based systems for mission critical environments
- Hands on experience building & orchestrating agent systems using LangGraph, AutoGen, CrewAI, LangChain, and Semantic Kernel
- Applied Agentic AI across defence use cases such as decision support, situational awareness, task orchestration, and risk based prioritisation
- Strong focus on AI safety, control, and assurance, using tools such as OpenAI Evals, DeepEval, Giskard, and red teaming techniques to test agent behaviou
Lana H.
Co-founder & Head of AI Assurance (T3 Partner)
- Risk and technology leader specialising in the safe deployment of AI in high-risk & regulated industries
- Former Global COO & Chief Risk Innovation Officer at Credit Suisse, where she led risk technology transformation, incl. real-time risk infrastructure and pre-trade digitisation
- Ex-IBM, designing frontier data & analytics solutions for regulated risk clients
- Leads adversarial red teaming of frontier and agentic AI systems, covering prompt injection, jailbreaks, data poisoning, and model extraction
- Oversees independent third-party AI assurance audits against EU AI Act conformity requirements, ISO/IEC 42001 controls, and bespoke model risk frameworks
- Designs end-to-end AI governance operating models for COOs, CDOs, and CTOs, custom GRC integrations, AI control libraries, and real-time assurance infrastructure
Dr Giovanni B.
Regulatory Technology & AI Expert (Advisor)
- Renowned Expert in FinTech and SupTech Applications – specializing in Cutting-Edge AI and Machine Readable Innovations
- Executive Director of the Cambridge Regulatory Genome Project (RGP) – a Multi-Million-Dollar public-private Research Initiative of the University of Cambridge
- RegTech mentor for the FCA’s Supercharged AI Sandbox
- Current IMF Securities Markets and FinTech Consultant, World Bank Advisor for Securities Markets – Financial Stability Assessment Program
- Former Qatar Financial Centre Regulatory Authority Director of Supervision, and IOSCO Investment Management Committee member
- PhD in Securities Law coupled with a BSc/MSc Finance and LL.M in EU Business Law
Dr Alberto P.
Senior Data Scientist & AI Tech (Advisor)
- 6 years as Oracle VP/Chief Data Scientist, built AI use cases across ERP, HCM, CX for enterprise clients. Knows the difference between viable AI and hype
- Built and deployed use case scoring and prioritisation at Oracle across 1,000s of features for 10,000+ corporate customers
- Deep data systems knowledge (SAP, Oracle, cloud platforms), can credibly assess HSF’s current infrastructure and readiness
- PhD physicist with Stanford and Imperial College pedigree, brings rigour without jargon
- Trustee at ECT Charity (2024–Present), a London-based charity focused on providing transportation solutions for disabled children and elderly people
Amine K.
Analytics, Risk & Machine Learning Expert (Advisor)
- 15+yr in Financial Services, merging trading, risk management & machine learning expertise
- Worked for top-tier European banks, incl. BNP Paribas and Credit Suisse
- Expert in credit trading strategies, performance metrics, & risk optimization, as well as market risk analytics, predictive modeling, and cross-asset risk management
- Adept at developing decision-making dashboards using SAP, Oracle, Hyperion
Machine Learning researcher with a focus on AI in finance - Machine Learning PhD candidate in Economics & Finance, UCL
