My single-page CV

Education

• Georgia Institute of Technology
  Ph.D., Computer Science | Aug. 14 – Aug. 21
  Adviser: Hyesoon Kim, HPArch
  Thesis: Deploying Deep Neural Networks in Edge with Distribution
  GPA: 4.00/4.00

• Georgia Institute of Technology
  M.Sc., Computer Science | Aug. 14 – May. 18
  Computing System Specialization
  GPA: 4.00/4.00

• Sharif University of Technology
  B.Sc., Electrical Engineering | Sept. 9 – Aug. 14
  Major in Digital Systems
  Major GPA: 4.00/4.00

Experience

• Senior Research Scientist
  Rain | Mar. 23 – Present

• Machine Learning Researcher, Advanced Systems Technology Team
  SK hynix | Feb. 21 – Feb. 23

• Research Assistant, HPArch
  Georgia Tech | Feb. 15 – Aug. 21

• Instructor, Advanced Computer Organization CS4290
  Georgia Tech | May. 20 – Aug. 20

• Instructor, Advanced Computer Organization CS4290
  Georgia Tech | May. 19 – Aug. 19

• SWE Intern, Video Understanding Team
  Google | May. 18 – Aug. 18

• Coordinator and Administrator, Microprocessor Systems Lab,
  Sharif University of Technology | May 13 – May 14

Honors

• Best Paper Nominee, IISWC’21 (Nov. 21)
• DAC’20 Young Fellow Participant & Research Video Awardee (Aug. 20)
• Best Paper Nominee, IISWC’19 (Nov. 18)
• Ranked 3rd, Sharif University - B.Sc. in Electrical Engineering (Sept. 9 – Aug. 14)
• Silver Medal Winner of 3rd IOAA (International Olympiad on Astrophysics) (Oct. 9)
• Gold Medal Winner in National Astrophysics Olympiad, Iran (Aug. 8)
• Silver Medal Winner in National Astrophysics Olympiad, Iran (Aug. 7)
• National Physics Olympiad Finalist, Iran (Feb. 8)

Mentoring & Teaching Experience

• Mentoring: /undergraduate_research
• Teaching: /teaching

Skills/Expertise

Core Expertise

• Computer Architecture
• Applied Machine Learning
• Deep Neural Networks (LLMs and CNNs)
• In/Near Memory Computation & 3D-Stacked Architectures
• CPU and GPU Microarchitecture & Optimizations
• Edge AI & Internet of Things (IoT)
• Robotics, Drones & Autonomous Vehicles
• Desing-Space Exploration for Hardware Accelerators
• Hardware/Software Co-Design for Machine Learning
• Hardware Optimized for Sparsity (ML and Scientific Computation)
• Hardware for Recommendation Systems
• Hardware for Large Language Models & Transformers
• AI Hardware Development & Optimization
• Distributed Computing & Parallelization Techniques
• Hardware-Aware Quantization and Pruning
• FPGA Development and Deployment (Verilog & HDL)
• High-Performance Computing (HPC), Graph Processing & GPUs
• Video Understanding & Computer Vision
• Patent Development & Intellectual Property Strategy
• Public Speaking & Technical Communication
• Production Hardware Profiling for Competitive Analysis

Technical Skills

• Languages: C, C++, Python, CUDA, Bash, Verilog, TCL, HLS, MATLAB
• Frameworks: PyTorch, TensorFlow, TensorRT, TensorFlow Lite, ONNX, Keras
• Tools & Platforms: Vivado, ModelSim, Docker, Git, Jupyter Notebooks, Linux, Windows, ROS
• Data & Visualization: Pandas, NumPy/SciPy, Matplotlib/Seaborn, Plotly, OpenGL
• Edge AI & IoT: NVIDIA Jetsons, Raspberry Pi, Arduino, ARM, Qualcomm
• HDL & HPC: UVM, CUDA/OpenCL, MPI, OpenMP