Mohammed Hesham
Full-Stack Dev building SaaS, bots & AI integrations
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Developed "Juxta Hermes," a pixel-perfect, highly responsive landing page frontend engineered to showcase modern web design aesthetics and seamless user interface transitions.
The project focuses strictly on exceptional design execution, utilizing a highly structured layout composition, precise typography scaling, and minimalist styling constraints. The architecture is optimized to achieve exceptional rendering speeds, clean DOM structures, and fluid layout adaptability across various viewports.
Key technical milestones achieved in this project:
• Implemented a highly refined frontend interface utilizing modern CSS layouts and semantic HTML to establish a structurally sound document object model.
• Programmed defensive responsive breakpoint configurations to ensure a flawless visual experience across desktop, mobile, and tablet displays.
• Optimized front-facing assets and cleaned component code structure to maximize page load performance and ensure lightning-fast client-side painting times.
This interface serves as a powerful demonstration of my ability to execute high-fidelity visual layouts, maintain strict component organization, and deploy elegant, production-ready frontend code that instantly elevates user perception.
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Developed "FitLogic AI," an advanced digital platform focused on fitness coaching, corporate multi-tenant scaling, and AI-driven performance analytics.
The system architecture is engineered using a fast, serverless Next.js frontend hosted on Vercel, communicating securely with a heavily indexed relational PostgreSQL database instance managed on Supabase. To deliver automated, intelligent coaching at scale, I engineered an asymmetric AI insights engine that securely streams anonymized user tracking records to large language model (LLM) endpoints to generate personalized, real-time feedback on workout execution and nutritional progression.
Key technical milestones achieved in this project:
• Engineered an integrated AI analytics pipeline that translates raw fitness metrics into structured tokens, passing them through specialized prompt engineering layers to generate automated, hyper-tailored coaching insights.
• Built and integrated secure user authentication schemas and row-level security (RLS) data policies using Supabase to isolate multi-tenant environments.
• Architected a highly optimized relational database structure in PostgreSQL to map complex client-coach data dependencies and prevent data redundancy.
• Configured serverless routing layers and automated deployment workflows on Vercel to ensure maximum uptime for the live production application.
This platform stands as direct operational evidence of my capability to design, build, and deploy production-grade full-stack SaaS products with modern serverless cloud infrastructures and intelligent AI automation layers.
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Engineered "KAIZEN!" , an advanced, self-contained tracking engine designed to process complex task lifecycles, structured productivity metrics, and custom data logs.
To support intensive logging and multi-layered user metrics, I architected and implemented a deeply normalized relational database schema from scratch. The system is built to map intricate cross-table dependencies, evaluate task backlogs, and execute state updates instantly without query lag or server bottlenecks.
Key technical milestones achieved in this project:
• Constructed the core Data Definition Language (DDL) and relational SQL schemas to manage multi-tier execution block pipelines and tracking states.
• Programmed data controllers to safely evaluate and enforce complex task dependencies and historical logging workflows.
• Formulated strict database indexing and foreign key relationship constraints to ensure data integrity and maximize retrieval speeds during data aggregation.
This system serves as clear operational evidence of my capability to design sophisticated backend architectures, model complex data relations, and build high-performance data infrastructures optimized for productivity software.
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Developed "Muscle Factory," a comprehensive full-stack gym management system engineered to streamline fitness facility operations, automate member tracking, and synchronize complex trainer schedules.
To ensure optimal data integrity and application speed, I designed and executed a highly normalized relational database schema from the ground up, completely eliminating data redundancy. The backend architecture is built using clean, structured PHP to securely handle CRUD operations, authenticate administrative roles, and process member check-ins.
Key technical milestones achieved in this project:
• Designed a robust, multi-table SQL relational database mapping member subscriptions, facility equipment logs, and trainer shift dependencies.
• Built the operational backend controller logic using PHP to handle secure, server-side data processing and state management.
• Programmed an intuitive HTML administrative dashboard providing real-time analytics on member attendance and equipment maintenance cycles.
This system demonstrates my ability to take a complex enterprise business problem, translate it into a clean data model, and deploy a high-performance backend infrastructure that operates with zero lag.
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