12+ years building distributed, real-time systems at the intersection of financial data and machine learning.
- Real-time data pipelines at financial scale — Kafka, Flink, Spark, ClickHouse
- ML platforms for anomaly detection and pattern recognition
- Agentic AI systems and LLM-powered developer tooling
- Low-latency complex event processing engines (C++)
- London Stock Exchange Group (LSEG) — Next-gen capital market surveillance stack, ML platform for anomaly detection, C++ pattern detection framework
- Binance — Core data platform infrastructure at petabyte scale, open-source query engine contributions, early LLM-to-SQL feasibility (2020)
- Credit Agricole CIB — Real-time payment systems, high-throughput streaming architecture
- WirelessCar — AI Evangelist, agentic engineering, Codex/Copilot/Claude adoption
- MSc Data Science & AI — Chalmers University of Technology (GNN, Fourier Neural Operators, Applied ML, Distributed Systems)
- BSc Engineering (Hons) — University of Moratuwa
- IEEE Published Researcher — DSP 2014, Hong Kong
Languages Rust · Java · Python · C++ · Scala · JavaScript
Big Data Kafka · Spark · Flink · HBase · ClickHouse · Presto · Hive · ElasticSearch
ML TensorFlow · Keras · scikit-learn · PyTorch · Pandas · Scipy · GNN · FNO · PointNet
Cloud AWS (Certified SA) · Docker · Kubernetes · Terraform · Cloudformation
AI Tools Claude · Codex · Copilot · LangChain
Frameworks Spring Cloud · Spring Boot · Vert.x
Real-time AI systems for on-chain risk intelligence —
anomaly detection, graph-based contagion modelling,
and LLM-powered monitoring at blockchain scale.
📄 Speaker Verification for Forensic Evidence Evaluation
IEEE DSP 2014, Hong Kong — MFCC feature extraction, GMM probabilistic modelling
