portfolioapplied ai / mlengineering leadershiplondon
I design systems. I write code. I lead teams.I teach both.
Associate Director of Applied AI/ML at Fitch Ratings. Building production AI systems, leading engineering teams, and bridging the gap between research and real-world deployment.
engineers led
8+
products shipped
15+
devs mentored
20+
industries
4
latest writing
Overview
Future of AI Development: Trends and Predictions for 2025
Analyzing the shift towards small language models, local inference, and the rise of sovereign AI infrastructure.
Overview
Winning the Ethena Hackathon: Building E-Sky in 48 Hours
How our team built a winning DeFi application during the Ethena Hackathon, covering technical challenges and lessons learned.
Overview
From Data Science to Full Stack: Why I Made the Switch
The motivations, challenges, and skill transfers that led me from data science into full stack development and entrepreneurship.
current focus
Agentic AI, RAG, and LLMOps for high-trust environments
LangChain / LangGraphFastAPIReact / TypeScriptAWS / Azure
Architecture, implementation, and delivery from prototype to production.
read the blogApplied AI engineering, explained.
About
Who I am
I lead applied AI and machine learning at Fitch Ratings, where I design and build agentic AI systems, RAG pipelines, and production ML infrastructure that drive credit ratings analytics at global scale. My work sits at the intersection of research and engineering - translating frontier capabilities into reliable, regulated financial systems.
Beyond individual contribution, I lead engineering teams, define technical roadmaps, and mentor developers through complex cross-functional delivery. I believe that great technology is built by empowered teams with clear purpose, and I invest heavily in creating that environment. I also contribute to open source projects and maintain tools that help other engineers ship better AI systems.
MSc Data Science, University of Bristol - with a focus on machine learning, data analysis, and advanced algorithms.
Fitch RatingsFeb 2026 - Present
Associate Director, Applied AI/ML
Agentic AI, RAG pipelines, LLMOps for credit ratings analytics
BNP ParibasAug 2021 - Feb 2026
Full Stack Python Developer
Trade compression systems, Flask APIs, Angular interfaces
Definitive HealthcareOct 2019 - Sep 2020
Python Developer
ML pipelines and pharma data transformation workflows
Principal Financial GroupJan 2019 - Sep 2019
Software Development Intern
RPA monitoring tools, Spring Boot, Angular, Elasticsearch
capability matrix
Technical Surface Area
The stack is organized around how I actually deliver work: applied AI, backend systems, data pipelines, and infrastructure that can be operated by a team.
live stack
Designed for teams that need speed without losing control.
I care about the whole path from prototype to production: model choice, orchestration, APIs, deployment, observability, and the developer ergonomics around it.
delivery style
production-first
primary focus
applied ai
supporting stack
full stack + infra
core stack
Applied AI & ML
Agentic AIRAGLLMOpsMLOpsLangChainLangGraphLlamaIndexAWS BedrockAzure AI FoundryVector DBs
architecture
Backend
PythonFastAPIDjangoMicroservicesNode.jsJava
pipelines
Data
PostgreSQLRedisElasticsearchAirflowPandas
cloud native
Infrastructure
DockerK8sAWSAzureCI/CDSageMaker
interfaces
Frontend
ReactNext.jsTypeScriptTailwind CSS
productivity
Intelligence Tools
Claude CodeCursorCopilotGit
management
Engineering Leadership
Engineering StrategyTeam LeadershipTechnical CommunicationAgile Delivery
production output
Systems that ship
A portfolio shaped around outcomes, architecture, and delivery rather than just job titles.
enterprise delivery
Fitch Ratings|2026 - present
Agentic AI & RAG Platform
End-to-end agentic AI systems and RAG pipelines enabling analysts to interact with credit data through natural language.
agentic ai
retrieval
production
LangChainLangGraphAWS BedrockAzure AI SearchK8s
BNP Paribas|2021 - 2026
Trade Compression System
Python automation and Flask APIs for multi-billion dollar swap compressions.
workflow automation
enterprise
fintech
PythonFlaskAngularPostgreSQLDocker
Definitive Healthcare|2019 - 2020
Pharma ML Pipelines
Data transformation and predictive ML models for pharmaceutical analytics.
ml pipelines
analytics
data quality
PythonPandasScikit-learnNumPyAirflow
Principal Financial Group|2019
RPA Monitoring Platform
Full stack RPA monitoring tools for large-scale enterprise DevOps.
monitoring
automation
internal tooling
JavaSpring BootAngularElasticsearch
prototyping & awards
ai research focus areas
Agentic AI
Multi-agent workflows and autonomous research agents using LangChain and LangGraph for production financial analytics.
LangChainLangGraphAWS Bedrock
RAG Systems
Document intelligence pipelines with embedding models and Azure AI Search for semantic retrieval over large-scale corpora.
Azure AI SearchEmbeddingsVector DBs
LLMOps
End-to-end LLM lifecycle: prompt versioning, evaluation frameworks, experiment tracking, and production monitoring.
MLflowSageMakerPrompts
Document Intelligence
End-to-end extraction and analysis with pymupdf4llm and vector search for financial filings.
pymupdf4llmEmbeddingsVector Search
approach
Engineering approach
Process, methodology & engineering leadership in practice
Reliability & Observability
Structured Logging
Structured logs for every LLM call and pipeline step - full auditability in regulated environments
Latency Monitoring
Per-model and per-endpoint latency tracking with alerting for degradation
Cost Tracking
Token usage monitoring and budget alerting across AWS Bedrock and Azure AI Foundry
Answer Quality
Automated regression benchmarks before every deployment, A/B evaluation frameworks
Error Handling
Fallback strategies, retry logic, and graceful degradation for LLM call failures
Automation & MLOps
Pipeline Orchestration
ML and data pipelines orchestrated with Airflow, SageMaker, and Celery across hybrid cloud infrastructure
Distributed Task Processing
Async ML inference and high-throughput API serving with Redis and Celery for production workloads
CI/CD for ML
Automated testing, model evaluation, and deployment pipelines with GitHub Actions, Docker, and Kubernetes
Experiment Tracking
Rigorous A/B evaluation frameworks and systematic quality benchmarks before every production rollout
Infrastructure Stack
Deploying across AWS (ECS, Lambda, S3, SageMaker), Azure AI Foundry, bare metal (Hetzner, Digital Ocean), and hybrid infrastructure.
AWSAzureAirflowSageMakerDockerKubernetesRedisCeleryGitHub ActionsHetzner
Future Direction
Write a Bookplanned
Building production AI systems in financial services - the lessons, failures, and patterns that actually work at scale
Speak at Conferencesin progress
Share applied AI engineering learnings at conferences, tech meetups, and Python/JS community events in London and beyond
Build in Publicin progress
Experiment with new frameworks, contribute to open source, and share what gets learned along the way
Lead an AI Teamin progress
Grow from technical lead into engineering manager, building and leading a high-performing applied AI team
latest activity
Fresh from the feed
work with me
Free calls, audits, and courses
recognition
Recognition & leadership
Awards, mentoring, and the drive to share what works
Awards & Certifications
Hackathon wins and professional credentials
Ethena Hackathon Winner
1st placeFirst place at Ethena Hackathon with the E-Sky project - a real-time on-chain token explorer built with Next.js and Goldsky.
ICP Hackathon Finalist
finalistReached the finals at Internet Computer Protocol Hackathon with nexBit - a Bitcoin explorer built with Rust and Internet Identity.
Professional Scrum Master
certifiedPSM certification for agile engineering practices and team delivery management.
Interest Rate Swaps (LFS)
certifiedSpecialised certification in financial derivatives and trading systems for fixed-income markets.
Mentoring & Speaking
Engineering leadership, community, and knowledge sharing
mentoring at fitch
Fitch Ratings - AI/ML Team
Part of a 15-person AI/ML team, mentoring junior and senior engineers on AI/ML engineering best practices, system design, code quality, and production-readiness standards. Focused on building engineers who ship, not just prototype.
Code ReviewsSystem DesignProduction Standards
community mentoring
Mentoring & Community
Open to mentoring engineers and businesses navigating their AI journey - career transitions into ML, guiding a team through their first production AI initiative, or just thinking through a technical problem.
Career Transitions into AIFirst ML Initiatives
speaking & events
Conferences & Events
Keen to speak at conferences, tech meetups, startup events, and Python/JS community gatherings, especially in London. Happy to share what has been learned building AI in production.
Tech ConferencesPython / JS MeetupsLondon AI Events
contact
Get in touch
Open to senior IC roles, advisory, and consulting opportunities in AI/ML engineering.
Essays, tools, and deep dives.
New technical essays when they ship. No spam. Just the occasional note on AI systems and product engineering.