// My Projects
Things I have built professionally
A selection of projects from my 10+ years across fintech, enterprise, and distributed systems — what I built, the stack I used, and what my role actually was.
Structured Products Platform — Fintech
A financial platform handling structured products and derivatives for a Swiss fintech firm. The system processes complex financial instruments with strict correctness and latency requirements — where a bug is not a bug, it is a financial discrepancy. Built on a fully functional Scala stack with event-driven architecture using RabbitMQ and Kafka.
Stack
My role
- Designing and implementing core business logic for structured product pricing and lifecycle management
- Contributing to solution architecture decisions across the functional Scala stack
- Collaborating cross-functionally to translate financial domain requirements into technical solutions
Promotion Marketing System
A large-scale promotion and marketing platform built on Scala and AWS. Responsible for end-to-end campaign logic — from eligibility rules to delivery pipelines. Led the engineering team while staying hands-on with the codebase.
Stack
My role
- Led and managed the engineering team through the full delivery cycle
- Designed and built core promotion business logic and eligibility rules engine
- Primary technical contact with the client for requirements gathering and delivery sign-off
Promotion Forecasting Engine
A forecasting system for retail promotions — predicting campaign performance and optimising spend allocation. Built on the Twitter stack with Scala and Finagle, with Oracle 12c as the data store for complex financial queries.
Stack
My role
- Led the team through architecture and delivery
- Built the forecasting and data processing business logic in Scala
- Worked directly with the client to define forecasting requirements and accuracy targets
Deep Learning Automation Platform
A distributed platform for automating deep learning workflows at scale. Ran on Kubernetes and DC/OS with Mesos — orchestrating containerised ML workloads across a cluster. One of the more technically ambitious projects early in my career and where I went deep on distributed systems.
Stack
My role
- Built the core automation business logic and workflow orchestration layer
- Worked with client to define automation requirements for ML training pipelines
Open Source Columnar Storage Format
An open source columnar data storage format built on the Apache ecosystem — Hadoop, Spark, Hive, and Kafka. Led teams building supporting tooling and automated testing infrastructure around the format. My first significant exposure to large-scale data engineering.
Stack
My role
- Led teams building supporting tooling and developer utilities for the format
- Built automated testing and validation tools for the storage layer
Cognitive Science Research Platform
A backend data processing platform for a cognitive science research project. Handled ingestion, processing, and search of large research datasets with ElasticSearch. My first professional Scala project — where the functional programming journey started.
Stack
My role
- Built and managed the backend data processing and ingestion pipeline
- Implemented search and retrieval features using ElasticSearch
- Delivered features end-to-end from client requirements to production