Data Engineer at a prominent multinational financial institution, architecting and orchestrating large-scale data infrastructure across hybrid cloud environments. Approaching three years of navigating the intersection of distributed systems, pipeline reliability, and enterprise-grade data platforms — turning sprawling, heterogeneous data estates into something coherent and dependable.
Markets & Trading — Deeply passionate about options and personal investing. I run a disciplined, systematic options-selling strategy — primarily harvesting theta decay by writing contracts on carefully vetted underlyings. Every position is filtered through a proprietary framework that evaluates probability of assignment, implied volatility rank, and fundamental conviction. Assignment risk is deliberately low, but even in the rare event of exercise, every underlying is one I'm comfortable holding as a long-term position. Every position is deliberate — structured, repeatable, methodical edge extraction.
AI/ML & LLMs — Building with large language models, experimenting with agentic workflows, fine-tuning, and exploring what's possible at the frontier of AI tooling.
Quantitative Finance — Algorithmic trading strategies, statistical arbitrage, and the pursuit of systematic edge through data-driven decision-making.
🏃 Running · 🏸 Badminton · ⛳ Golf · ⛷️ Skiing · 🎮 Games · 🏋️ Gym · 📷 Photography · 🗿 Figurine Collecting
On Figurines — I collect limited-production resin statues from Tsume and P.O.P (Portrait of Pirates) figures. There's something deeply satisfying about owning a meticulously sculpted, numbered piece from a short production run — each one is part craftsmanship, part artifact.
Sony A7C · 24-70mm f/2.8 DG DN II
Languages
Java · Scala · Python
Data & Infrastructure
Elasticsearch · Kafka · Kubernetes · Linux · Git · Jenkins · Grafana · Prometheus
IDEs & Tools
IntelliJ IDEA · PyCharm · VS Code
Exploring
AWS · GCP
Tracking what I'm working through — ticking off as I go.
- Anthropic Courses — Skilljar certification track
- Google Cloud Fundamentals: Core Infrastructure — Coursera
- AWS Solutions Architect Associate
- LangChain / LangGraph for agentic pipelines
- Quantitative finance with Python (options pricing, Greeks, Monte Carlo)
- MLOps — model deployment, monitoring, and lifecycle management
- System Design for large-scale data platforms
- Rust for performance-critical data tooling
- Setting up this profile ✨
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