Sainath Thalatam
Researcher - Deep Learning at Fujitsu Research
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSainath Thalatam is a deep learning researcher based in London with 10 years of experience and four years focused on AI development, specializing in computer vision, model optimization, and production ML systems. At Fujitsu Research he improved GPU pipelines by 10–15x using Nsights profiling, advanced OOD detection with synthetic water-body datasets, and built an LLM inference pipeline using RAG and vector stores for automated reporting and explainability. His background spans cybersecurity strategy and national policy work, hardware-aware algorithm optimization at Intel, and published research in blockchain and permissioned ledgers. Comfortable across Python, PyTorch, TensorFlow, and major cloud platforms, he bridges theoretical research and practical deployment, often spotting system-level bottlenecks that yield outsized performance gains.
10 years of coding experience
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Mahindra École CentraleAdvanced Certification Program, Artificial Intelligence, Advanced Certification Program, Artificial Intelligence at International Institute of Information Technology Hyderabad (IIITH)Master of Science - MS, Computer Vision, Robotics and Machine Learning, Master of Science - MS, Computer Vision, Robotics and Machine Learning at University of Surrey
English, Hindi, Telugu
Github Skills (40)
proxmox10
document-management9
kernel-extension9
security9
lxc9
zigbee9
network9
shell8
docker8
acpi8
mach8
opencore8
container8
home-assistant8
efi7
Programming languages (7)
Github contributions (5)
FlasHRender/Zenbook-S-UX391UA-hackintosh
May 2020 - Mar 2022
Contributions:49 commits, 32 pushes, 4 branches in 1 year 10 months
FlasHRender/KernelEAS
Nov 2017 - Nov 2017
Contributions:28 pushes, 2 branches in 2 days
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