Mike Mikailov
Computer Scientist at US Food & Drug Administration
Columbia, Maryland, United States
Summary
👤
Senior🎓
Top SchoolMike Mikailov is a computer scientist with nine years of focused experience in high-performance computing and a multi-decade background leading complex embedded and telecom software programs. He helped build one of the FDA's most powerful HPCCs, migrating long-running scientific workloads to massively parallel supercomputers and cutting runtimes from millennia to months, while also teaching parallel programming and operational best practices. Prior to FDA he led software development teams at L-3 Communications delivering VoIP gateways, public safety mobile terminals, and large telecom switching platforms, combining hands-on C/C++ embedded development with program-level project and contract management. He holds a PhD in Computer Science and an MBA in International Management, blending deep technical research experience with strategic leadership and international project delivery. An often-overlooked strength is his cross-domain fluency—from low-level embedded systems and protocols to distributed deep learning on HPC—enabling him to translate scientific needs into production-scale computing solutions.
9 years of coding experience
29 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at V. M. Glushkov Institute of Cybernetics of the NAS of UkraineMBA, International Management, MBA, International Management at The University of Texas at Dallas - Naveen Jindal School of ManagementBS, MS in Math., Mathematics and Computer Science, BS, MS in Math., Mathematics and Computer Science at Baku State University
Github Skills (22)
digital-pathology8
deeplearning-ai8
hpc-cluster8
rdma7
infiniband7
shared-memory7
networking6
aries5
hpc5
mpi5
cray4
ucx4
shmem4
lmdb3
gemini3
Programming languages (5)
Github contributions (5)
DIDSR/HPC_DPAI
Mar 2020 - Aug 2020
The code used in the manuscript, "Scaling Digital Pathology Deep Learning AI on HPC Clusters"
Contributions:107 commits, 3 PRs, 27 pushes in 5 months
deeplearning-aidigital-pathologyhpc-cluster
mmikailov/sge-gpuprolog
Jan 2022 - Jan 2022
Scripts to manage NVIDIA GPU devices in SGE 6.2u5
Contributions:12 pushes, 1 comment in 1 day
cudanvidiagpusgenvidia-gpu
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