AI & Scientific Computing
- Deep learning
- GenAI systems
- Scientific workflows
More than a technical profile
A bit more about me
Curiosity-driven engineer building near AI, science and systems
I like problems that sit between theory, systems and real-world constraints. I am drawn to tools that make science easier to run, reproduce and extend.
What drives me
Understanding complex systems deeply enough to build useful tools around them.
Turning research ideas into software that can be reused, tested and maintained.
Learning as a long-term practice, not a short sprint.
Things I care about
Astroinformatics & Radio Astronomy
- FRBs
- Radio transients
- Observatory software
Robotics & Perception
- Autonomy
- Sensors
- Embodied intelligence
Cloud, Backend & Distributed Systems
- Reliable services
- Serverless
- Infrastructure
VR, Games & Interactive Systems
- Simulation
- Game systems
- Immersive interfaces
Philosophy, Productivity & Learning
- Habits
- Discipline
- Intentional living
How I think
Depth over noise
I prefer fewer topics studied seriously over chasing every new trend.
Build beyond the demo
A good prototype should point toward something maintainable.
Learn in public, refine in private
Share progress, but keep doing the quiet work that makes it real.
Engineering bridges ideas and reality
The best systems make complex ideas usable by other people.
Outside the keyboard
Things that keep me curious, grounded and moving.
Piano
music as focus and patience
Football
competition, rhythm and teamwork
Reading
science, philosophy and better questions
Videogames
systems, interaction and play
Exercise
energy, discipline and consistency
Philosophy
thinking clearly about how to live
Where I want to go next
Long term, I want to work closer to research environments where software, AI and science meet.
- Research engineering
- AI for Science
- Scientific software
- Robotics and perception
- Observatory, lab and deep-tech environments