Practical innovation
New technology matters when it improves a real workflow, decision, or outcome.
We build AI-powered software around operational problems that deserve clearer, more capable systems.
FK Solutions focuses on understanding the real structure of a problem before choosing the technology. That means studying workflows, decisions, constraints, and information—then building the smallest coherent system that can create meaningful value.
Our work sits at the intersection of AI-driven product development, scalable software, and continuous experimentation.
New technology matters when it improves a real workflow, decision, or outcome.
We consider the complete system: people, process, interface, data, and long-term operation.
Good architecture should make a product easier to evolve, secure, and understand.
Research stays connected to working prototypes and testable assumptions.
AI/ML Engineer · RAG & Generative AI Systems · Full-Stack Python · MLOps
Faris is a Computer and Intelligent Systems Engineering student and AI/ML engineer focused on building production-oriented RAG, LLM, MLOps, and full-stack AI platforms. His work spans generative AI, document intelligence, manufacturing systems, medical AI, autonomous agents, and business software.
AI & Machine Learning
Applied machine learning, statistics and data visualization, regression, classification, clustering, deep learning, NLP, RAG, and agentic AI.
Generative AI & RAG Intern
Multimodal RAG, FAISS, LangChain / LCEL, audio and video transcription, timestamped Q&A, and backend, integration, and end-to-end testing.
Capabilities are grouped by the systems they help build—not presented as a logo wall.
Faculty of Engineering & Technology · Future University in Egypt
Research deliberately.
Build responsibly.
Ship what matters.
Let’s explore how software and AI can turn it into a scalable product.