Saad Alkentar
Senior Full Stack AI & Mobile Engineer · Founder
Senior Full Stack AI & Mobile Engineer · Bridging Modern Machine Learning with High-Performance Systems
Background & Philosophy
Bridging algorithmic theory with high-performance production software
I am a senior full-stack AI and mobile software engineer, researcher, and founder based in Berlin, Germany. From writing my first C# console app to architecting complex AI-driven systems, my journey has been fueled by a passion for scalable, high-performance technology. With over 8 years of production engineering experience, I specialize in building robust applications using React, Next.js, Python (FastAPI/Django), and Kotlin.
My expertise operates at the intersection of traditional software engineering and modern Machine Learning. Holding a Master’s degree in Communications Engineering with a research focus on ML and Computer Vision, I bridge the gap between data science theory and production-ready code. I am particularly focused on Agentic AI & LLMs (embeddings, RAG, and multi-agent pipelines), scalable microservices and IoT architectures using Docker, Kubernetes, and AWS, as well as AI-assisted engineering workflows.
As the founder of Alkentar, I partner with forward-thinking enterprises, fast-moving startups, and scale-ups to modernize legacy infrastructure, design resilient AI workflows, and build secure digital platforms ranging from high-traffic marketing engines to mission-critical healthcare architectures.
Professional Experience
Trajectory across enterprise architecture and modern product engineering
Founder & Principal AI Systems Engineer
Leading an engineering and AI innovation studio delivering high-performance software, legacy modernization, and enterprise autonomous AI agents for European and global clients.
- Architected enterprise-grade multi-agent AI workflows and deterministic RAG systems reducing manual operational overhead by over 60%.
- Engineered legacy system modernization pathways enabling seamless zero-downtime microservice migrations.
- Delivered full-stack web and mobile platforms built on scalable cloud foundations with strict GDPR compliance.
Full Stack AI & Senior Mobile Developer
Architected and deployed RAG systems and LLM integrations while delivering high-performance cross-platform mobile and web applications.
- Architected and deployed RAG (Retrieval-Augmented Generation) systems and LLM integrations using Python, FastAPI, and Django to enhance enterprise data retrieval.
- Developed and maintained robust cross-platform applications (Stilltagebuch, Mo-Fit) using Flutter, Kotlin, and Swift, achieving 50% code reuse.
- Integrated Agentic AI services (embeddings and LLMs) into production environments to solve complex domain requirements.
- Optimized frontend architecture by implementing Next.js and GraphQL for high-performance, AI-driven web applications.
- Managed AI infrastructure on AWS (EC2, Lambda, DynamoDB) and optimized PostgreSQL databases for vector storage.
- Established automated CI/CD pipelines to streamline software deployment workflows across mobile and web platforms.
Full-stack Developer
Developed high-performance IoT backend microservices and responsive web user interfaces for smart access solutions.
- Developed high-performance backend services using FastAPI and Python for smart access IoT solutions.
- Built responsive, pixel-perfect UIs with React and managed complex global states using Redux.
- Containerized full-stack applications using Docker and orchestrated deployments via Kubernetes to ensure high availability.
- Collaborated in a senior agile team to deliver secure, scalable IoT software, mapping edge cases and failure modes.
Full Stack AI Developer
Optimized full-stack marketing automation applications focusing on Django backends and Next.js/React frontends.
- Optimized full-stack marketing automation applications focusing on Django backends and Next.js/React frontends.
- Leveraged AI-assisted workflows (Cursor, Claude, GitHub Copilot) to drastically increase development velocity and shipping speed.
- Developed microservices to handle high-traffic marketing campaigns with rapid response times.
Senior Android & iOS Developer
Managed a team of mobile engineers overseeing code quality, agile execution, and scalable e-commerce architecture.
- Managed a team of iOS and mobile developers, overseeing code quality, project execution, and Agile methodologies.
- Developed e-commerce solutions (e.g., Samaat Hakeem, I am Chef) using Flutter, Swift, Java, and Kotlin.
- Implemented BLoC state management and Firebase real-time data synchronization to ensure scalable and maintainable application logic.
Senior AI & Mobile Software Engineer (Product Owner)
Directed product development and technical lifecycle for key healthcare applications, RAG integrations, and computer vision models.
- Developed RAG systems and Gemini API integrations for healthcare-focused technical specifications.
- Managed the full software lifecycle for key healthcare projects, including BrainOM and Clinictify, from architecture to App Store publishing.
- Applied Image Processing and Segmentation techniques to medical data using Python and Machine Learning.
- Built cross-platform and native applications using Next.js, Django, Flutter, Kotlin, and Swift with a focus on security and patient privacy.
Android & iOS Developer
Promoted from engineering trainee to Head of the Android Development Team, shipping mobile banking, navigation maps, and e-commerce apps.
- Started as a trainee and advanced to Head of the Android Development Team.
- Engineered multiple high-reliability applications including map apps, e-commerce, and mobile banking systems.
Featured Innovations & Products
Platforms, AI tools, and architectures engineered by Saad
A high-precision engineering studio crafting bespoke AI solutions, resilient distributed backends, and rapid startup execution.
A specialized AI agent suite created for the Sanity Challenge that verifies resume claims against job criteria with grounded content graphs to eliminate AI hallucinations.
Dresscode
AI-Powered Outfit & Wardrobe Planner
Smart mobile application utilizing computer vision and recommendation algorithms to catalog clothing items and suggest personalized daily outfits.
Articles & Technical Insights
Deep dives on AI reliability, architecture, and software design
Architecting Resilient Multi-Agent AI Systems for Production
Why most enterprise AI demos break down under real-world constraints, and how to build deterministic, anti-hallucination agent architectures.
MLOps for LLM: A Case Study on Dresscode
A comprehensive walk-through of the 7-step production MLOps pipeline for multimodal LLM systems, featuring an architectural case study on Dresscode.
Run NextJS App in Shared-Hosting cPanel Domain
A step-by-step practical guide to configuring, optimizing, and deploying Next.js applications on shared-hosting cPanel domains with limited server resources.