AI Systems
Retrieval-Augmented GenerationLLM ApplicationsEmbeddingsStructured OutputsHuman-in-the-Loop AI
AI PRODUCT ENGINEER
Abdulsalam Hassan Shiikhow
I build reliable AI and backend systems for universities, healthcare, and enterprise operations.
AI Product Engineer — SIMAD AI Institute
Available for new opportunities
8,000+Patient recordsProduction healthcare
700+University staffWorkforce platform
~1,100Exam contextsAI moderation
AI Product EngineerSIMAD AI Institute
About
Engineer, builder, problem solver.
I am an AI Product Engineer and Software Engineer focused on building production-oriented AI applications, backend systems, and enterprise platforms. My work spans LLM applications, Retrieval-Augmented Generation (RAG), document intelligence, structured AI workflows, and reliable backend architecture.
At SIMAD AI Institute, I architect and build institutional AI products, including an AI-assisted examination moderation platform and UniMind, a RAG-based learning system. Beyond AI, I have independently engineered production systems including a healthcare platform managing 8,000+ patient records and a workforce platform designed for 700+ university staff.
I am currently pursuing a Bachelor of Computer Science at SIMAD University while continuing to build production software, lead engineering work, and deepen my expertise in AI systems, backend architecture, and reliable intelligent applications.
FocusLLM applications, RAG & backend systems
BaseMogadishu, Somalia
CurrentAI Product Engineer — SIMAD AI Institute
AI & Engineering
Engineering stack for production AI systems.
Backend
PythonFastAPINestJSPostgreSQLPrismaREST APIs
Product
Next.jsReactTypeScriptTailwind CSS
Infrastructure
DockerRailwayVercelNginxGitHub Actions
Selected Work
Production systems built for real institutions.
FLAGSHIP AI SYSTEM
PilotSIMAD AI Examination Moderation Platform
AI-assisted academic quality assurance platform that evaluates examination documents against formal moderation criteria while preserving deterministic evidence verification and human committee authority.
~1,100Course/exam contexts
Architected and independently developed the system end-to-end for SIMAD University's examination moderation workflow.
Designed structured AI evaluation using examination documents, course context, formal moderation criteria, and schema-validated LLM outputs.
PROJECT
CompletedUniMind — AI Learning & RAG Platform
RAG-based learning platform that transforms lecture documents into grounded Q&A, summaries, quizzes, mind maps, and personalized learning resources.
Co-developed a three-person AI learning platform combining NestJS application services with a dedicated FastAPI AI microservice.
Implemented token-aware document chunking targeting roughly 400–500 tokens with overlap for more precise retrieval.
PROJECT
ProductionDAS Health — Healthcare Management Platform
Production healthcare information system supporting patient registration, screening, surgery workflows, follow-ups, and operational healthcare management for DirectAid Somalia.
8,000+Patient records
Independently engineered the platform end-to-end.
Currently manages 8,000+ patient records in active healthcare operations.
PROJECT
PilotSIMAD Workforce Management Platform
Institutional workforce platform designed for 700+ university staff across attendance, multi-campus operations, performance management, approvals, and reporting.
700+University staff
Independently architected and engineered the platform end-to-end.
Designed for 700+ SIMAD University staff across multiple campuses.
PROJECT
In DevelopmentDersify — AI-Native Personalized Learning
AI-native education product designed around persistent learner modeling, diagnostic learning paths, retrieval practice, spaced repetition, and adaptive AI feedback.
Designed the product around a persistent learner model rather than one-off AI tutoring interactions.
Combined diagnostic learning maps, retrieval practice, spaced repetition, and error-driven adaptation into the product architecture.
Experience
Building and leading production engineering work.
AI Product Engineer
SIMAD AI Institute
Architect and develop institutional AI products from problem discovery and system design through implementation and stakeholder delivery.
Independently developed SIMAD's AI-assisted Examination Moderation Platform, combining document intelligence, structured LLM evaluation, deterministic evidence verification, and human committee review.
Co-developed UniMind, a RAG-based learning platform using FastAPI, embeddings, semantic retrieval, PGVector, OpenAI, and Gemini.
Independently engineered a workforce platform designed for 700+ university staff across attendance, performance, approvals, and reporting.
Lead Engineer
ACCO Ltd
Lead engineering team developing an enterprise construction ERP.
Own architecture and key technical decisions across NestJS, Next.js, PostgreSQL, Prisma, RBAC, workflows, and auditability.
Translate construction operations into software workflows spanning contracts, BOQ, procurement, inventory, progress certification, IPC, and finance.
Full Stack Developer
DevLink
Contributed to full-stack web application development across frontend, backend, APIs, and data integration.
Worked in a remote engineering environment using modern JavaScript and TypeScript technologies.
Recognition
Recognition & journey.
SIMAD University × SIMAD NextGen
From First-Year Student to Full-Stack Developer
Featured by SIMAD University after progressing into professional Full-Stack Development while still in my first year of Computer Science. The university highlighted the journey as an example of disciplined self-learning, persistence, and making full use of university opportunities.
Watch University InterviewSIMAD University
From Self-Taught Developer to AI Product Engineer
Featured again by SIMAD University during my second year after progressing from Full-Stack Development into AI Product Engineering and applying software and AI skills to real institutional systems.
Read Success StoryEducation
Formal foundations, sharpened by applied building.
Bachelor of Computer Science
SIMAD University
2024 — 2028
AI Engineering Specialization
Full-Stack Development Specialization — Coursera
Contact
Interested in building reliable AI systems?
Open to AI engineering, backend engineering, product development, and technically ambitious collaborations.