Hamid Nejatollahi

About Hamid Nejatollahi

Current Interests- Building and optimizing large-scale distributed systems, with a focus on performance tuning for machine learning workloads by leveraging network bandwidth, storage efficiency, and smart resource allocation across CPUs, GPUs, and FPGAs- Developing and deploying high-performance computing architectures and compilers to accelerate deep learning applications and cryptographic workloads in real-world environments- Engineering energy-efficient deep learning solutions for edge and embedded systems, focusing on delivering AI capabilities within tight power and resource budgets- Implementing secure and scalable post-quantum cryptography solutions, particularly lattice-based crypto, with attention to practical trade-offs between performance, power, area, and security in programmable hardware platforms.

Experience

1. Senior Ml Engineer

   Apple

   Aug 2025 — Present · San Diego, CA, US

Education

• UC Irvine

  Doctor of Philosophy (Ph.D.), Computer Science

  2015 — 2020

• University of Tehran

  Master of Science (M.S.), Computer Engineering

  2012 — 2014

• University of Tehran

  Bachelor of Science (BSc), Computer Engineering

  2008 — 2012

Skills

• Microsoft Excel
• Field-Programmable Gate Arrays (Fpga)
• Risc-V
• Computer Architecture
• Git
• Matlab
• C
• Programming
• Microsoft Office
• Project Management
• Algorithms
• Xilinx
• Deep Learning
• Hardware Architecture
• Nios Ii
• Altera Quartus
• C++
• Compilers
• Computer Hardware
• Security
• Cryptography
• Microprocessors
• Java
• Verilog
• Vhdl
• Simulations
• Llvm
• Perl
• Embedded Systems
• Linux
• Hardware
• Python
• Latex