About
From cloud platforms to applied ML, I thrive on learning fast and shipping.
Recent graduate with hands-on experience across finance, logistics, and academic research. I love turning complex problems into maintainable systems and collaborating with multidisciplinary teams across cultures.
How I work
- - Start with listening; understand business context before writing code.
- - Favour maintainable solutions over over-optimisation.
- - Document decisions so teammates can move quickly with confidence.
Outside of work, I continue learning about robotics and AI, practice Japanese, and explore Tokyo’s neighbourhoods.
Highlighted skills
Backend & Platforms
- C# / .NET
- Entity Framework Core
- Node.js & TypeScript
- SQL & PostgreSQL
Machine Learning
- Natural Language Processing
- Transformers & PyTorch
- MLOps & LLMOps
- Reinforcement Learning
Delivery & Collaboration
- Azure & Cloud Architecture
- Data Migration Projects
- Scrum & Agile Collaboration
- Technical Documentation
Experience
Software Engineer · Finastream
Luxembourg (remote)
Jan 2025 - Nov 2025
Reinforced Finastream's fund-process platform by optimising workflows, expanding task management capabilities, and spearheading AI-driven automation initiatives.
- - Refined the fund process engine to reduce review cycles and surface actionable metrics for portfolio operations teams.
- - Built an internal task management system that unified compliance, product, and engineering hand-offs inside the platform.
- - Delivered several LLM Ops services that automated internal support requests and accelerated R&D within the legal fund management domain.
Analyst Developer · Adibox
Ciney, Belgium
Feb 2024 - Jan 2025
Leveraged large operational datasets to build an NLP text-classification pipeline for automated analysis while supporting major accounting and e-commerce data migrations.
- - Delivered production-grade text classification that auto-routed customer and partner inquiries across back-office teams.
- - Coordinated accounting and e-commerce data migrations end-to-end, validating integrity and post-cutover performance.
- - Supported backend modernisation initiatives across Java and Node.js services to improve resilience and speed.
Research Trainee · Yonsei University
Seoul, South Korea
Jan 2023 - May 2023
Explored reinforcement learning and robotics topics for a research thesis in an international lab environment.
- - Prototyped agents that learned control policies in simulated robotics environments using PyTorch.
- - Evaluated policy performance and documented results that informed lab publications and thesis work.
- - Collaborated with researchers across disciplines to share findings and iterate on experimental design.