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Hi, I'm Saif Elsaady

Supply Chain Optimization · AI Automation · Career Strategy

I offer one-on-one career coaching, job hunting strategy, and business consulting guidance for engineers and technical professionals.

Specializing in semiconductor supply chain optimization, AI automation engineering, and high-performance career & platform consulting for technical professionals. Focused on execution, efficiency, and measurable outcomes.

Saif Elsaady

About

About Me

PhD Electrical Engineering candidate with a 4.0 GPA across all degrees, specializing in semiconductor supply chain modeling, AI-driven automation systems, and strategic technical career development. Built 60+ projects spanning manufacturing analytics, machine learning deployment, and systems optimization.

My work spans semiconductor manufacturing analytics, AI automation engineering, and designing scalable educational and career platforms for educators. I focus on translating complex technical systems into measurable operational and professional outcomes.

4+

Years Industry Experience

56+

Technical Projects Built

20+

STEM Courses Designed & Delivered

Services

Services

Book a 30-min Call

I offer career coaching, job hunting strategy, resume optimization, interview prep, and technical career guidance. Only serious inquiries please. When booking, mention why you're reaching out and what you want to get out of working with me. I reserve the right to cancel if the booking reason is unclear.

Supply Chain & Operations

Relevant experience: semiconductor manufacturing analytics, yield-aware planning, tooling data pipelines.

AI Automation & Engineering

Relevant experience: built AI/ML tools at Intel and automation at Siemens EDA; production ML pipelines and testing automation.

Career & Platform Consulting

Relevant experience: designed courses and curricula at Arizona State University; built educational offerings and got offers with TSMC, Honeywell, Intel, Tesla, ARM and interviews from Nvidia, Apple, Sandisk, etc.

Education

Education

PhD, Electrical Engineering — Arizona State University

In progress, focused on yield uncertainty in semiconductor manufacturing.

MSE, Electrical Engineering — Arizona State University

Graduated with Distinction (4.0 GPA) · Read my Graduate Spotlight Feature

MS, Computational Life Sciences — Arizona State University

Graduated with Distinction (4.0 GPA)

BSE, Electrical Systems Engineering — Arizona State University

Graduated Summa Cum Laude (4.0 GPA)

BS, Data Science (Mathematics) — Arizona State University

Graduated Summa Cum Laude (4.0 GPA)

Work

Projects

Expertise

Technical Skills

🧠 Data Science & Analytics
  • Python (pandas, NumPy, TensorFlow, PyTorch, matplotlib, seaborn, scikit-learn, KMeans)
  • R (tidyverse, dplyr, ggplot2, randomForest, ShinyApp)
  • SQL, JMP, SPC, DOE
🔌 Embedded & Hardware
  • C++, Verilog, PERL, MATLAB, Simulink, PowerShell
  • I2C, SPI, UART, CAN, PWM
  • Linux (Shell, Bash), ATE
  • PCB Design, DFM
🔬 Lab & Instrumentation
  • Oscilloscopes, Multimeter, Lab Equipment, Soldering

Credentials

Certifications

Career

Professional Experience

Hardware Ecosystem Engineer

Arm

  • Identified cost hotspots using Python and investigated the mechanical enclosure of the hardware system.
  • Managing ecosystem partner relationships to validate device verification and support release for data center delivery.

Graduate Engineer

Intel Corporation

  • Engineered a synthetic data pipeline using Python, generating 10,000+ test graphs, enabling scalable CNN training.
  • Developed an 8-layer CNN architecture using Python (PyTorch, SciPy, L2 regularization), achieving 92.43% accuracy.

Signal & Power Integrity Solutions

Siemens EDA

  • Developed an automated signal integrity and power integrity validation system using Python Tkinter GUI.
  • Automated DRC for differential pairs using Python/Linux tooling, resulting in ~90% reduction in review time.

Electrical Engineer

Honeywell Aerospace

  • Automated avionics workflows using Python and JIRA, reducing test cycle time by 50% through optimization.
  • Developed a data pipeline using Python on NVIDIA JETSON, reducing latency by 1s for signal communications on UAVs.

Data Science Research Intern

USAA (TDMN)

  • Analyzed customer data using Python with K-means and NLP, improving satisfaction by 10% through insights.
  • Conducted EDA on thousands of call transcripts with clustering algorithms, reducing friction scores by 15%.

Teaching

Teaching Experience

Teaching Assistant & Grader

Arizona State University

  • Delivered instruction across 20+ STEM courses using workshops and labs, resulting in improved student performance.
  • Designed and revised course materials and syllabi, resulting in clearer learning outcomes.

Tutoring Assistant

Mountain Pointe High School

  • Supported classroom instruction using guided problem-solving, resulting in stronger foundational skills.
  • Mentored students individually, resulting in increased academic confidence.

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