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Build and secure Azure backend services for a risk infrastructure platform, shaping Terraform, CI/CD, and multi-tenant isolation for regulated enterprise customers.
Build and maintain cloud-native microservices on AWS (Lambda, SQS, API Gateway) using Python and PostgreSQL to power secure device services at scale.
Build and scale a cloud security platform using Python, distributed systems, and data-intensive tools like Neo4j and ElasticSearch across AWS, GCP, and Azure.
Build the core orchestration engine for data and AI pipelines in Python, owning scheduling, execution, and state management from concept to production with Terraform.
Backend Developer builds and maintains secure, scalable AWS microservices in Python (FastAPI/Flask) to power Trustonic’s global device-financing platform, using Lambda, SQS, API Gateway, and PostgreSQL.
Lead a backend team building conversational AI systems using NLP, NLU, and cloud-native stacks; set architecture, mentor engineers, and drive CI/CD in a product-focused AI company.
Build and maintain low-latency data pipelines and trading systems in Python to forecast sports outcomes, using web scraping, Kafka, PostgreSQL, and Go for infra.
Build and maintain data infrastructure for a US private markets fund manager, using SQL, Python, and Power BI/Tableau to deliver analytics and reporting that inform investment and sales decisions.
Build and deploy ML models for insurance pricing and risk analytics using Python and SQL, shaping commercial strategies with large, complex datasets.
Build and maintain Azure-based data pipelines and ETL processes using Databricks and Medallion Architecture to feed enterprise reporting and analytics.
Build and optimize production fraud-detection models using Python, SQL, and Azure Data Lake to reduce false positives and improve accuracy.
Build ML pricing models using alternative data to challenge traditional strategies for a UK financial services firm, deploying on Azure ML and mentoring junior team members.
Build and maintain web apps and CMS systems for clients using the LAMP stack and bespoke CMS solutions.
Lead product strategy for Cleo’s AI chat and ML features, shaping how users interact with the app to improve financial well-being through data-driven decisions.
Build and maintain a modern data platform for portfolio managers and quants, including ingestion, ETL, and APIs using Python, SQL, and distributed systems.
Designs and builds secure, scalable data pipelines and platforms in Azure/AWS/GCP using Databricks, Snowflake, Spark, and Python for a government-focused client.
Build and lead an AI-driven audit strategy, designing ML models to detect risks and shift Internal Audit toward continuous, data-led assurance in a global FTSE PLC.
Design and maintain scalable data architectures for a global retail brand, ensuring governance, security, and alignment with business goals across analytics, AI, and customer systems.
Designs and maintains secure, scalable data architectures for a defence-focused platform, leads enterprise pipelines, and enforces DataOps standards in a high-clearance environment.
Design and maintain data architecture for a large UK public-sector client, ensuring secure and compliant data flows.
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