MSM Markup Tracker
Full-stack BI application that automated manual pricing-compliance workflows for CNX vendor floor production, driving a 27% QoQ increase in markup sales and 133% quarterly target attainment.
Mohamed Zaitoun
Full-Stack Developer & AI Engineer
I build React/Node apps and AI-powered tools shaped by real merchant-ops experience. Background in B2B SaaS and DoorDash merchant operations gives me rare product intuition — not just how to build restaurant technology, but why operators need it.
Get in TouchAbout Me
Hi, I'm Mohamed Zaitoun — a full-stack developer and AI engineer transitioning into a dedicated software engineering role, with hands-on experience building React/Node.js web applications, integrating third-party APIs, and deploying AI-powered tools in production environments.
Background in B2B SaaS and DoorDash merchant operations provides rare product intuition understanding not just how to build restaurant technology, but why operators need it. I focus on measurable impact: shipping dashboards and automation systems that hit 133% of quarterly targets, 27% QoQ sales growth, and 17.9% vendor-wide lift.
Education
The Egyptian E-learning University
B.Sc. in Information Technology
Udacity
Data Analysis Nanodegree
Skills
Programming
- Python
- JavaScript (ES6+)
- SQL
- HTML5
- CSS3
Frameworks
- React.js
- Node.js
- Express.js
- LangChain
- Google Apps Script
AI / ML
- LLMs
- NLP
- Stable Diffusion
- Generative AI
- Hugging Face
- MLflow
Data & BI
- Pandas
- NumPy
- Matplotlib
- Power BI
- Tableau
- A/B Testing
Tools
- Git / GitHub
- Gradio
- Google Colab
- Salesforce
- VMware
Languages
- English (C1)
- Arabic (Native)
- German (A1)
Feedback & Testimonials
Ahmed Assal · Technical Team Manager at Augmentoria
“Mohamed's contributions as an AI Engineer were instrumental in pushing our projects to success. His expertise in developing AI models and collaborating with cross-functional teams was evident in every task he handled. His ability to innovate and optimize machine learning algorithms helped us achieve better performance and faster results. Mohamed's dedication and problem-solving skills are truly commendable.”
Labib Darwish · Team Lead at Sutherland AT&T MSS
“As a Customer Service Representative, Mohamed consistently exceeded expectations. His ability to quickly build rapport with customers and resolve their issues was impressive. His work ethic and commitment to maintaining high customer satisfaction rates played a crucial role in our team's success. Mohamed's proactive approach and attention to detail make him an asset to any team.”
Work Experience
Concentrix
VendorMerchant Success Manager
- Increased markup sales by 27% QoQ and achieved 133% of the quarterly target by engineering MSM Markup Tracker, a full-stack BI application that automated manual pricing-compliance workflows for CNX vendor floor production.
- Boosted overall CNX vendor sales by 17.9% by building MSM Campaign Dispatcher, an automated application that deploys targeted marketing campaigns by dispatching customized deep-links to merchants in under 10 minutes based on tailored business needs.
- Consistently achieved monthly and quarterly performance targets across a rotating portfolio of 400+ DoorDash merchant accounts by resolving complex operational complications and driving proactive account management.
DoorDash Commerce Platform
Jul 2025 — Oct 2025
Concentrix
VendorSaaS Sales Representative
- Achieved 118% of sales quota by driving B2B adoption of the DoorDash Commerce Platform (including white-label online ordering, branded mobile apps, and cross-channel loyalty programs) through full-cycle pipeline management.
- Accelerated deal velocity by 20% by consulting non-technical restaurant operators on digital transformation, mapping out how automated marketing and SEO-optimized web solutions translate to direct revenue growth.
Digital Egypt Pioneers Initiative (DEPI)
Apr 2024 — Oct 2024Generative AI Engineer Trainee
- Developed ArtifyAI-v1.1, a multilingual text-to-image application, by fine-tuning a Stable Diffusion model on 5,000+ COCO images and integrating a T5 NLP model to process English, German, Romanian, and French prompts.
- Gained production-grade MLOps experience by utilizing MLflow and Hugging Face for model versioning, experiment tracking, and deployment pipelines throughout a 177-hour intensive AI/ML program.
Augmentoria
Oct 2023 — May 2024AI Engineer (Remote)
- Built and deployed 3+ LLM-powered business automation applications using LangChain and Python, improving response accuracy and eliminating manual processing bottlenecks across diverse business workflows.
- Developed user-facing data interfaces with Gradio, enabling non-technical stakeholders to interact directly with AI pipelines without requiring engineering support.
- Designed and iterated on prompt engineering strategies that optimized model output quality for data extraction, classification, and business automation use cases.
AT&T
Nov 2022 — Oct 2023
Sutherland
VendorCustomer Service Representative
- Resolved 94% of technical issues on the first call across 1,000+ client interactions using enterprise tools including VMware, Salesforce, and Avaya.
- Maintained a 96% CSAT rating through structured technical troubleshooting, proactive problem-solving, and consistent client communication.
Latest Projects
MSM Campaign Dispatcher
Automated campaign deployment application that dispatches tailored deep-link marketing campaigns to merchants in under 10 minutes, boosting overall CNX vendor sales by 17.9%.
ArtifyAI-v1.1
Multilingual text-to-image application. Fine-tuned Stable Diffusion on 5,000+ COCO images and integrated a T5 NLP model supporting English, German, Romanian, and French text prompts.
Analyze A/B Test Results
Statistical evaluation of an e-commerce A/B test to determine whether a new webpage design produced a significant increase in user conversion rates using hypothesis testing and regression approaches.
Train RAG SemanticSearch
Fine-tuned a Retrieval-Augmented Generation (RAG) model for semantic search, improving query relevance by understanding intent and context for a more intuitive end-user search experience.
Hypothetical Document Embeddings
Created semantic document embeddings using advanced NLP techniques for downstream tasks including text classification, clustering, and semantic search, with distribution visualizations across document types.
US Census Demographic Data
2015 county-level US census data from Kaggle, visualized with 1 story and 2 Tableau dashboards. Each visualization includes written rationale and design decisions.
No Show Appointments
Analyzed 100,000+ medical appointments across Brazil to identify patterns and key factors influencing whether patients show up for their scheduled appointments.
Explore US Bikeshare Data
Exploratory analysis of bike share system datasets for three major US cities — Chicago, New York City, and Washington — using Python to surface rider behavior insights and patterns.
Query a Digital Music Store
Advanced SQL analysis of the Parch & Posey digital music store database, answering business questions on media sales, customer purchasing behavior, and invoice trends.
Contact
Let’s talk
Open to interesting full-stack engineering, AI, and production software problems, collaborations, and conversations about B2B SaaS, data engineering, and AI-powered automation.