MSc Computer Science @ KTH · AI inference research at Huawei Stockholm
- Research intern at Huawei (Stockholm) — Approximate Matrix Multiplication for neural network inference: replacing dense matmul with product-quantization and table lookups. Profiling accuracy, latency, energy, and cache behavior.
- Finishing my Master's thesis on the same topic.
- Learning GC algorithms, C++ memory model, and JVM memory areas.
Preferably Stockholm · open to anywhere in the EU · remote OK
- Backends (C++ / Java / Kotlin / Python)
- Software Engineer (Distributed Systems - Infrastructure - Data)
- ML systems / inference optimization (C++, CUDA, performance and complexity analysis)
If your team works on any of these, my email is at the bottom.
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Cross-platform MQTT communication layer for distributed IoT — Kotlin Multiplatform (JVM, JS, Native). My bachelor's thesis.
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🛰️ DECIDELaunch-interceptor decision system: formal spec to tested Python (KTH Software Engineering course).
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HMMs, sequence models and ML coursework.
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🔌 ESIOT23Embedded systems & IoT lab series in C++.
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