MOHAMMAD ZORAIZ
Innovator | Engineer | Researcher
Passionate about leveraging cutting-edge technology to solve complex problems in AI, quantum computing, and high-energy physics. Committed to pushing the boundaries of what's possible in software engineering and scientific research.
Experience
- Developed statistical analysis tools for Amazon Q Developer Code Transformation Agent, leveraging Python, SQL, and R, improving data processing efficiency by 40% and enhancing user insights through automated QuickSight reporting dashboards.
- Engineered a pipeline analyzer to optimize LLM model performance metrics, resulting in a 25% reduction in error rates and contributing to more accurate and efficient code transformation processes, programming over 5,500+ lines.
- Developed and updated firmware for L8Z Motion Controllers using C++, enhancing motion instruction accuracy and improving controller response time by 20%, while documenting experimental motion loadable libraries in white papers for future scalability.
- Leveraged virtual machines and containerized builds to streamline system architecture, reducing build time by 30% and gaining hands-on experience in advanced computer architecture and embedded systems.
- Applied quantum mechanics principles to develop quantum software using Microsoft Q# and IBM Qiskit, implementing the HHL Algorithm to optimize fluid-flow and cognition simulations, reducing computational time by 30% compared to classical methods.
- Developed automated software verification test cases using C++ for Logix Controllers, ensuring precise debug message accuracy and improving verification efficiency by 25%, which streamlined direct interaction between Studio5000 and controller logic.
Projects
Developed in collaboration with Life Edit Therapeutics, a machine learning classifier to distinguish edited from unedited cells across diverse gene expression datasets, utilizing Python, EDA, feature selection, and PCA for enhanced gene editing analysis.
Developed in collaboration with Garmin International Inc., a submersible low-latency wireless wearable device that provides real-time environmental feedback by utilizing an advanced data collection and signal analysis algorithm, built using AutoCAD & MATLAB.
App built with Flutter, Python, Android Studios, & Google Firebase that seeks to individualize the math learning of students in grades K-7 through personalized learning paths and lessons based on Educational Psychology. Won the Congressional App Challenge (OH-14), and under development to be used in Mayfield & Cleveland City School District.
CSCode is an interpreted programming language used to make learning Python more progressive & intuitive by employing intuitive keywords, built with Flex, LLVM, & Bison, and grasped language design, semantic analysis, parsing, tooling, and lexical tokenization.
Researched student learning pedagogy in marginalized communities as determined from web-resource and assessment analyses leveraging WebScraping and computational psychiatry techniques with ScraPy, Microsoft Power, & MATLAB.
Skills & Certifications
Analysis & Modeling
Technical Proficiencies
Quantum Computing
- Python for Data Science, AI, & Development (IBM)
- Version Control Git & GitHub (MIT)
- Python Core (MIT)
- Quantum Software (MIT)
- Machine Learning (Stanford)
Native Proficiency
Professional Working Proficiency
Basic Proficiency
Achievements
1/250 Scholars Internationally. Awarded $40k.
1/100 Scholars Nationally. Awarded $40k.
1/40 Scholars Nationally. Awarded $40k.
for dedication to NE Ohio community advancement