// QUESTIONS
FAQ
Answers about background, projects, and how to work together. Ask anything that isn't covered here.
About Me
Laith Abu-Saleem is an AI & Data Science student at Applied Science University (ASU) in Amman, Jordan. He finished Islamic Educational College (Class of 2026). He explores and builds practical AI, automation, software, AR/3D, and human-centered technology solutions, with project and competition experience across AI, cybersecurity, and biomedical systems.
AI and Data Science at Applied Science University (ASU) in Amman, Jordan. He finished Islamic Educational College, Class of 2026.
Highlights include 1st Place at the National Cyber Security Competition 2025, Gold Medal at the National Junior Cybersecurity Olympiad 2025, 2nd Place at the Artificial Intelligence Olympiad ML 2025, 2nd Place at AIO 2024 Algorithms & Math, 3rd Place at ASUCyberKingdom, and finalist standings at ISEF 2025 Jordan, Genius Olympiad 2025, and IFEST, plus Top 10 at RLCTF. Full list is on /about#honors.
Artificial intelligence, data science, biomedical / medical technology, cybersecurity, neuroscience-inspired systems, and human-centred product design.
Practical ML and data work, biomedical telemetry projects, AI-safety / prompt-injection experiments, competition problem-solving, and concept / UI architecture for AI products.
AI & Software
Practical prototypes and systems in AI/ML, data analysis, automation experiments, Arduino-connected biomedical monitoring, lightweight note/AI UX concepts, dashboards/internal tools where scoped, and AI-safety prototypes. He also runs a Business Solution Assessment to recommend fit for AI vs automation vs software.
He can help design and prototype AI-assisted workflows and agents when they are the right fit for a business problem. The Business Solution Assessment is meant to decide whether an agent, automation, or conventional software is more appropriate.
He has design and product-architecture experience (for example TinyTask UI/UX) and has worked on technology projects that include web surfaces in collaborations. Specific website engagements should be discussed directly so scope is clear.
Yes. His CV and portfolio describe automation experiments, data pipelines, and business-facing automation opportunities through the Solutions assessment.
Primarily Python (Pandas, NumPy, basic ML models, APIs), plus Arduino / C++ for embedded work. Tools include Git/GitHub, Notion, Flet, and related serial/crypto tooling. The portfolio also lists PyTorch, scikit-learn, and SQL.
Yes. Competition results include NCSC 2025 (1st), NJCO 2025 Gold, ASUCK, and RLCTF Top 10. He also prototypes prompt-injection detection and LLM guardrails.
Yes as project work. The Injury Detection System is a biomedical monitoring prototype that processes heart rate, SpO2, and temperature with automated alerts, and reported about 95% accuracy in early injury identification during project evaluation. Biomedical systems and human-centred medical technology remain core interests - not a commercial medical product claim.
Business Solutions
Often yes. He frames work as identifying a business problem, then designing technology around it. Browse the four solution paths on /solutions (AI agents, loyalty & wallet, AR experiences, custom software), request a quote via the discovery form, or run the Business Solution Assessment if you are unsure where to start. He will not push AI if a simpler approach fits better.
Examples include repetitive customer/sales/ops work suitable for agents, loyalty and retention programs (including digital wallet where appropriate), helping customers visualize products with AR/3D before purchase, and custom apps or dashboards when off-the-shelf tools do not fit. Scope stays realistic for a strong student practitioner; integrations depend on your systems and data.
Four: (1) AI Automation & Agents - systems that understand information and handle tasks across support, sales, internal ops, and marketing workflows. (2) Smart Loyalty & Digital Wallet - digital loyalty, memberships, rewards, engagement, and analytics. (3) AR & 3D Product Experiences - visualize products in real environments and turn that into a sales/quotation flow. (4) Custom AI & Software Solutions - purpose-built apps, dashboards, portals, and integrations. Details and quote requests are on /solutions.
Yes. Laith Abu-Saleem is based in Amman, Jordan, and works on scoped AI automation, AI agents, digital loyalty, AR/3D experiences, and custom software projects for businesses and organizations. Fit depends on the problem, data, and systems - start at /solutions or /solutions/assessment.
Where integrations allow, yes as a scoped project: qualifying leads, answering common questions, and routing complex cases to people. Exact channels (WhatsApp, web, CRM) are defined after discovery - not assumed automatic. Request a quote via /solutions/quote?solution=ai-agents.
Yes. Beyond the free Business Solution Assessment, Laith offers an optional deeper analysis (~$19) with personal research into your business context, market, and competitors. It is ordered directly from Laith by email (or via /contact?from=deep-analysis) - not an automated checkout. Payment details are confirmed in the reply. See /solutions#deeper-analysis.
Open a solution on /solutions, then use Explore a Solution / Discuss Your Problem to open the discovery form at /solutions/quote. It asks about goals, your business, current tools, desired outcomes, solution-specific questions, and contact details. Final CTA is Request a Quote - not buy-now.
Yes, as scoped projects: customer-service, sales, internal, or marketing-oriented agents that understand information, handle tasks, and connect to tools where integrations are available. Capabilities depend on your systems and data. Start at /solutions or /solutions/quote?solution=ai-agents.
Yes where appropriate: digital loyalty cards, points/stamps, memberships, rewards, engagement, and wallet passes for Apple Wallet or Google Wallet when the use case supports them. This is not an official partnership with Apple or Google. See Smart Loyalty & Digital Wallet on /solutions.
Yes as a sales and visualization tool: help customers experience products in real environments (furniture, kitchens, interiors, architecture, retail), customize options, and request quotations. See AR & 3D Product Experiences on /solutions.
When off-the-shelf tools do not fit, yes: custom web apps, dashboards, portals, integrations, and AI-powered workflows designed around the business problem. Request a quote via /solutions/quote?solution=custom-software.
Retail, hospitality, professional services, education, healthcare operations, real estate, and other SMEs that need automation, loyalty, visualization, or custom software. Fit depends on the problem, data, and systems - not a one-size pitch.
In principle yes for scoped integrations (CRM, WhatsApp, websites, spreadsheets, internal tools) when APIs or workflows allow it. Exact integrations are defined after discovery - they are not assumed automatic.
Projects
A biomedical monitoring project that reads heart rate, SpO2, and temperature from Arduino sensors and classifies injury risk in real time, with about 95% early identification accuracy and automated alerts.
An AI note-taking concept focused on contextual summarization and task memory. Laith contributed as concept/UI architecture lead (contributor), not as a claim of sole full-stack ownership.
Vytal is an AI mental-health companion project for 2026 competitions, built with collaborator Hamzeh Hijazi. Laith handled research, study, and documentation / theoretical work. Hamzeh was the developer and delivered most of the showcase implementation (apps, tools, websites).
Active research / prototype work to detect prompt-injection attacks on LLMs and apply filtering / guardrails. Metrics on the portfolio are still marked TBD where not finalized.
Highlights include NCSC 2025 1st, NJCO 2025 Gold, AIO ML 2025 2nd, AIO 2024 2nd, ASUCK 3rd, ISEF 2025 finalist, Genius Olympiad 2025 finalist, IFEST finalist, and RLCTF Top 10.
Working With Me
Yes. Use /contact or the Ask Laith flow on the FAQ page. Describe the idea and your constraints; he can discuss feasibility.
He is open to AI/ML internships, research collaborations, and data science / technology projects. Specific hiring terms, pricing, and timelines need to be discussed with him directly.
In principle yes for scoped integrations, prototypes, or analysis - details depend on the stack and goals. Ask him directly with context about the existing project.
Yes. The Business Solution Assessment is one structured way to do that. You can also contact him with a short description of the idea and constraints.
Assessment
You answer a short multi-step intake about your business, challenges, tools, and goals. The site assistant analyzes the answers and returns a structured recommendation mapped to practical options (including the four solution categories when they fit). If needed, it asks a few follow-up questions first. Start at /solutions or /solutions/assessment.
Contact
Email laithabusaleem0@gmail.com, use the contact form at /contact, or send a question through Ask Laith on this FAQ page.
Pricing is not published on the portfolio. Ask Laith directly with your project scope.
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