Nora Akar
Senior Software Engineer at Microsoft
Switzerland
Summary
👤
Senior🎓
Top SchoolNora Akar is a Senior Software Engineer based in Switzerland with nine years of experience bridging computer architecture research and production software at organizations including EPFL, Xilinx, CSCS and Microsoft. Trained at EPFL (MSc in Computer Science), she has deep expertise in low-level systems and hardware-aware development—proficient in Python, C/C++, VHDL and FPGA toolflows—and a track record of optimizing compute- and memory-bound workloads such as SLAM on heterogeneous platforms. Her research background includes LLVM-based high-level synthesis for elastic circuits and QEMU checkpointing, giving her a rare blend of compiler, emulation and hardware design insight. At CSCS she translated research rigor into scalable software for scientific computing, and at Microsoft she now applies that systems-first perspective to large-scale engineering problems. Colleagues value her for solving hard performance and latency challenges by combining theory-informed approaches with practical engineering trade-offs.
10 years of coding experience
6 years of employment as a software developer
Master of Computer Science, Computer Science, Master of Computer Science, Computer Science at EPFLBachelor of Engineering (B.E.), Electrical and Electronics Engineering, Bachelor of Engineering (B.E.), Electrical and Electronics Engineering at American University of Beirut
English, French, Arabic
Github Skills (72)
lorawan10
hip10
gpu10
azure10
neuroscience10
azure-deployment10
cuda10
simulation10
mpi10
hpc10
hyperparameters10
prompt9
neural-network9
python9
microsoft-azure9
Programming languages (12)
Github contributions (5)
noraabiakar/arbor
Apr 2018 - Apr 2022
The Arbor multi-compartment neural network simulation library.
Contributions:3 reviews, 4 PRs, 1022 pushes in 4 years
arborsimulationsimulation-libraryneural-networknetwork-simulation
noraabiakar/llmops-promptflow-template
Mar 2024 - May 2024
LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.
Contributions:55 PRs, 125 pushes, 24 branches in 2 months
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