Dubai, United Arab Emirates
Email: rahhalstudent@gmail.com | LinkedIn: linkedin.com/in/ismailalashqar | GitHub: [Add GitHub URL] | Portfolio: [Add Portfolio URL]
Software Engineering student at 42 Abu Dhabi and Harvard Extension School, with a focus on AI, cybersecurity, and inclusive technology for healthcare and accessibility. After earning an IB Diploma from Dwight School Dubai (Class of 2023), awarded a scholarship to study Cybersecurity at Canadian University Dubai — where a team project placed 3rd at the Innovation Showcase. Placed 3rd at the RecognAIze Hackathon at 42 Abu Dhabi for developing AI-powered CCTV systems emphasizing innovation and ethical responsibility. Completed 30 undergraduate credits at Sophia Learning in business and technology. Actively seeking AI engineering internships and software engineering roles at organizations pushing the frontier of healthcare AI and agentic systems — including Cleveland Clinic Abu Dhabi, G42, Microsoft, Google, OpenAI, NVIDIA, M42, and Presight AI.
January 2022 – August 2022 (8 months) · United Arab Emirates
July 2023 – August 2026
Rigorous, project-based software engineering program with no teachers or lectures. Students learn by doing and peer collaboration. Accepted through the highly competitive "Piscine" immersive coding bootcamp.
Key Areas: C Programming · Algorithms & Data Structures · Linux & Systems Programming · Memory Management · Networking · Git · Software Architecture
2024 – 2026
Pursuing degree pathway coursework in Computer Science.
2024 – 2024
Scholarship recipient. Team placed 3rd at the Innovation Showcase with Handee — a prototype designed to improve hand-eye coordination and support child development.
2019 – 2023
IB Diploma graduate. Class of 2023.
Completed 30 undergraduate credits in business and technology.
AI-powered copilot helping family caregivers track medications, appointments, symptoms, and care notes via natural language interaction. Reduces caregiver cognitive load; prototype validated with real caregiver feedback.
Tech: Python · LLMs · RAG · [Add tools] | GitHub: [Add link] | Demo: [Add link]
AI assistant that auto-generates structured clinical notes from voice or text input, reducing clinician documentation time (currently 30–50% of clinical hours). Designed for minimal-friction integration into existing workflows.
Tech: Python · LLMs · Prompt Engineering · [Add tools] | GitHub: [Add link] | Demo: [Add link]
Mobile-first app providing calming protocols, emergency contacts, and caregiver guidance for individuals with autism during sensory or behavioral emergencies.
Tech: [Add tech stack] | GitHub: [Add link] | Demo: [Add link]
Early-stage family AI platform combining caregiver tools, scheduling, and health tracking. Concept validated through user research and iterative prototyping.
Tech: [Add tech stack] | GitHub: [Add link] | Demo: [Add link]
Prototype designed to improve hand-eye coordination and support child development. Team placed 3rd at the Innovation Showcase.
Tech: [Add tech stack]
Developed AI-powered CCTV systems emphasizing innovation and ethical responsibility. Team placed 3rd.
Tech: AI · Computer Vision · [Add tools]
Concept developed during gap year to support young adults transitioning into independent living, adaptable to health and education contexts.
Built a prototype encouraging seated exercises to promote wellness and raise awareness of health risks linked to extended sedentary behavior.
Designed an interactive game board to help children develop motor skills through play.
Helped a small business expand its reach, achieving 20K+ likes in under 5 months across TikTok and Instagram.
42 Abu Dhabi Core Projects: [Add key projects — e.g. libft, ft_printf, Born2beRoot, minishell, etc.]
Artificial Intelligence · Machine Learning · Cybersecurity · CTF Competitions · Healthcare Innovation · Accessibility Technology · Hackathons · Open Source · Human-Centered Computing · AI Ethics · Liverpool FC
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Dubai, United Arab Emirates
linkedin.com/in/ismailalashqar
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[Add Portfolio URL]
[Add Email] · [Add Phone]
Ambitious software engineering student at 42 Abu Dhabi — one of the most selective, project-based coding institutions in the world — with a deep focus on Artificial Intelligence, Machine Learning, and Healthcare Technology. Passionate about building human-centered AI systems that improve lives at scale, from clinical documentation tools to caregiver support platforms.
Combines strong low-level programming foundations (C, systems architecture, memory management) with modern AI capabilities (LLMs, RAG pipelines, AI agents, prompt engineering). Fast learner with a proven ability to ship working prototypes independently and collaborate effectively in cross-functional teams. Driven by the belief that the most impactful technology is the kind that disappears into the background and simply makes people's lives better.
AI Engineering Internships & Software Engineering Roles in Healthcare AI, Agentic Systems, and Human-Centered Computing
A rigorous, project-based software engineering program with no teachers, no lectures, and no fixed schedule. Students learn by doing and by teaching each other — a model that produces highly self-directed, collaborative engineers.
Accepted through a highly competitive "Piscine" immersive coding bootcamp — acceptance rate among the lowest of any engineering program in the UAE.
C Programming · Algorithms & Data Structures · Linux & Systems Programming · Memory Management · Networking · Git & Version Control · Software Architecture · Peer-to-Peer Learning
[Add completed courses]
[Add if completed — CS50x, CS50 AI, CS50 Python, etc.]
Problem: Family caregivers managing chronically ill patients face overwhelming administrative burden, emotional fatigue, and fragmented information.
Solution: An AI-powered copilot that helps caregivers track medications, appointments, symptoms, and care notes — with natural language interaction.
Tech: Python · LLMs · RAG · [Add tools used]
Impact: Reduces caregiver cognitive load; prototype validated with real caregiver feedback. GitHub: [Add link] · Demo: [Add link]
Problem: Clinicians spend 30–50% of their time on documentation rather than patient care.
Solution: An AI assistant that auto-generates structured clinical notes from voice or text input, reducing documentation time dramatically.
Tech: Python · LLMs · Prompt Engineering · [Add tools]
Impact: Designed to integrate into existing clinical workflows with minimal friction. GitHub: [Add link] · Demo: [Add link]
Problem: Individuals with autism and their families lack accessible, fast-response tools during sensory or behavioral emergencies.
Solution: A mobile-first app providing calming protocols, emergency contacts, and caregiver guidance tailored to autism support needs.
Tech: [Add tech stack]
Impact: Human-centered design focused on accessibility and speed. GitHub: [Add link] · Demo: [Add link]
Problem: Appointment scheduling in healthcare is fragmented, time-consuming, and error-prone for both patients and staff.
Solution: An AI-powered scheduling assistant handling natural language booking requests, reminders, and rescheduling.
Tech: Python · LLMs · [Add tools]
Impact: Reduces no-show rates and administrative overhead. GitHub: [Add link] · Demo: [Add link]
Problem: Patients and caregivers struggle to find reliable, personalized medical information quickly.
Solution: A RAG-powered assistant grounded in verified medical knowledge bases, providing accurate, context-aware health information.
Tech: Python · RAG · LLMs · Vector Databases · [Add tools]
Impact: Designed with safety guardrails and source attribution. GitHub: [Add link] · Demo: [Add link]
Problem: Families managing complex care situations lack a unified AI platform for coordination, documentation, and decision support.
Solution: Early-stage prototype of a family AI platform combining caregiver tools, scheduling, and health tracking in one interface.
Tech: [Add tech stack]
Impact: Concept validated through user research and iterative prototyping. GitHub: [Add link] · Demo: [Add link]
[Add key 42 projects — e.g. libft, ft_printf, Born2beRoot, minishell, etc.]
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Accepted into 42 Abu Dhabi through the highly competitive Piscine selection process — one of the most rigorous entry assessments in UAE engineering education.
[Add any academic honors, Dean's List, or notable grades]
[Add repository name · Description · Stars / Forks]
[Add any prompt engineering competitions, published prompts, or notable AI projects]
A structured certification pathway spanning foundational computer science, AI specialization, cloud infrastructure, and frontier model development — aligned with the requirements of top-tier AI and healthcare technology employers.
Professional / Fluent
Native
[Add proficiency level if applicable]
Artificial Intelligence · Machine Learning · Agentic AI · LLMs
Healthcare Innovation · Longevity Science · Clinical AI
Cybersecurity · AI Ethics · Human-Centered Computing
Open Source · Product Design · Developer Tools
Software Developer · AI, Cybersecurity & Healthcare Accessibility · 42 Abu Dhabi