Architecting
Infinite-Systems.

Solution Architect Automation Engineer AI / ML Researcher

Solution Architect & Automation Engineer based in Nashville, TN. Bridging the gap between intelligent document processing, AI/ML workflows, and enterprise-scale platforms.

// SYSTEM_CAPABILITIES
Automation & RPA AI / ML Data Engineering MS Fabric Google Cloud (GCP) Containerization Virtualization Python Data Engineering & Analytics Data Storage & Lake Architecture
// VISUAL_TELEMETRY_ENGINE
ACTIVE_RENDER_PIPELINE: FREE_FLOW

Have fun and Interact with the particle engine. My favorite is the QUASARS engine.

About Me

A highly experienced and accomplished automation engineer, architect, and researcher, with significant experience delivering end-to-end enterprise automation, AI/ML, and data engineering solutions.

Technology professional specializing in robotic process automation, intelligent document processing, and hybrid cloud/on-premise infrastructure. Demonstrates strong expertise in Python, C#, and SQL, combined with modern engineering practices. Brings a balanced blend of deep technical capability, architectural thinking, and practical problem-solving across both strategic initiatives and hands-on execution.

Enterprise Automation AI/ML Workflows APIs Platform Engineering
Deployment History
Nov 2023 – Present CURRENT

Solution Architect II

@ HCA Healthcare

Architecting enterprise-grade services, intelligent automation solutions, and scalable data pipelines. Specializing in API integration, workflow optimization, and AI-driven image classification/extraction. Leveraging Microsoft Fabric Lakehouse, Azure Synapse, and Google Cloud Platform (GCP) to design modern data architectures, with containerized deployments using Docker. Extensive experience integrating enterprise systems such as Infor CloudSuite and ION with UiPath.

MS_Fabric Azure_Synapse GCP API Docker AI / ML
Jan 2022 – Jun 2023 PART TIME

Adjunct Faculty

@ Tennessee State University

Taught undergraduate courses in computer science, including Computer Organization and Architecture (COMP 2400), Introduction to Computing (COMP 1210), and Introduction to Bioinformatics (COMP 3112). Focused on building strong foundational knowledge in systems, programming, and computational biology. Mentored students and supported academic research initiatives, fostering analytical thinking and applied problem-solving skills.

Robotics Computer Architecture C++ Python
Jun 2021 – Nov 2023

Sr. Technical Analyst

@ FedEx Services

Designed and delivered intelligent automation solutions focused on OCR, image extraction, and classification. Utilized Kofax TotalAgility for enterprise-grade document processing, and Automation Anywhere A360 for scalable RPA and AI/ML-driven workflows. Integrated Power Automate and Azure IaaS to build robust, distributed automation platforms, improving processing accuracy and operational efficiency.

Kofax A360 Power Automate Service Now AWS Azure IaaS
Sep 2013 – May 2021

Systems Analyst / Developer

@ eGov / Enterprise Platforms

Engineered and delivered enterprise and public-facing platforms across SharePoint, Java/JEE, and .NET technologies. Led full lifecycle delivery, including end-to-end solution integration, custom application development, and infrastructure implementation. Emphasized scalable architecture, system interoperability, and long-term maintainability, ensuring reliable, high-performance services across diverse enterprise environments.

Infrastructure SaaS SharePoint Java/JEE .NET
Academic Framework
Dec 2020 HONORS

M.S. Computer Science

Tennessee State University

Bioinformatics-focused graduate studies with emphasis on machine learning for protein structure prediction, rotamer modeling, and computational biology.
Bioinformatics Machine Learning Protein Structure Prediction
Selected Publications 03
Conference 2025
Enhancing Protein Side Chain Packing Using Rotamer Clustering and Machine Learning
International Conference on Computational Advances in Bio and Medical Sciences
Journal 2026
A Bayesian Framework with Dirichlet Priors and Spatial Smoothing for Protein Rotamer Prediction
International Journal of Molecular Sciences
Dec 2011 HONORS

B.S. Computer Information Systems

Yarmouk University

Graduated with honors, demonstrating excellence in academic performance, competitive programming, software engineering competitions, and applied systems research.
Dean Honor Board ACM Competition Top Graduation Project
Awards & Competitions 05
Programming Competition Oct 2011
ACM 2nd Place Winner
MENA Collegiate Programming Contest at Prince Sumaya University for Technology.
Software Engineering Competition May 2011
Zayed University Competition Winner
Awarded for top performance in Software Requirements Specification (SRS) competition (UObserve), Abu Dhabi, UAE.
Research Project Jan 2011
E-Car Traffic & Parking Control System
Designed an intelligent traffic and parking control system leveraging GSM, GPS, and RFID technologies.
Department Recognition Nov 2011
Best Graduation Project (9-Year Record)
Selected as the highest-rated graduation project in the department over a nine-year period.
Research & Publications

Research spanning bioinformatics, protein structure prediction, rotamer modeling, RNA analysis, and applied machine learning.

Featured Publication

Machine Learning Approach to Assign Protein Secondary Structure Elements from Cα Trace

@ Tennessee State University

A machine learning framework for assigning protein secondary structure from Cα backbone geometry, focused on extracting meaningful structural signals for protein modeling and structural analysis workflows.

SEQ STRUCTURE ML / AI BIOINF IEEE
2025 Conference Publication

Enhancing Protein Side Chain Packing Using Rotamer Clustering and Machine Learning

@ Tennessee State University

Explores protein side-chain packing through rotamer clustering and machine learning techniques, with emphasis on improving structural prediction quality and rotamer selection strategies.

PROTEIN ML / AI
2026 Journal Publication

A Bayesian Framework with Dirichlet Priors and Spatial Smoothing for Protein Rotamer Prediction

@ Tennessee State University

Presents a Bayesian approach for protein rotamer prediction using Dirichlet priors and spatial smoothing, advancing probabilistic modeling for side-chain conformation prediction.

BAYES VIZ BIOINF
2019 Academic Research

RNA Efficient Structure Comparison Algorithms with SEQ Alignment

@ Texas A&M University

Computational research on RNA structure comparison methods that combine structural matching with sequence alignment to improve biological similarity analysis.

RNA ALGO SEQ
2019 Academic Research

RNA Sequence Drawing & Visualization

@ Texas A&M University

Visualization-focused work for making RNA sequence structures easier to inspect, compare, and communicate across research workflows.

VIZ RNA RNA
Writing & Insights

Practical technical notes, troubleshooting guides, and engineering write-ups from my blog.

Recommendations
01 / 08

An outstanding software engineer and architect with strong expertise across multiple domains. Mohamad brings creativity, problem-solving ability, and a rare capacity to deliver high-quality solutions under challenging conditions.

— Software Architect

Mohamad consistently delivers beyond expectations, combining deep technical expertise with a strong sense of ownership. His ability to take complex deliverables to a level of precision and completeness is exceptional.

— Project Manager & BI Consultant
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Direct Contact
Email M***@live.com
Mobile (***) ***-6721
Location Nashville, TN - USA