Aaqib Imran
@aaqibimran
I build secure, AI-powered full-stack web and mobile applications with React, Node.js, and Python.
PakistanWhat I'm looking for
I build secure, scalable software across healthcare, AI, and real-time web products. At Techlogix, I develop HIPAA-sensitive healthcare APIs for enterprise clients, implementing OAuth 2.0, JWT authentication, RBAC, XSLT transformations, and JavaScript mediation logic.
At Algebraic Solutions, I work on workflow-driven applications with interactive, personalized AI agents, including React Native mobile apps and Flask backends for scalable user-agent workflows.
Previously at CareCloud, I helped build an internal call-scoring application with React, Next.js, TypeScript, and TanStack Query, improving responsiveness by 15%. At MADE IT, I delivered client products including CamSense, an AI-powered shoplifting detection system with about 92% detection accuracy and sub-second alerts, and QR Medic, a QR-based emergency medical information system.
I completed a Computer Software Engineering degree at NUST, where my final-year project, BiLinGo, used React and Flask for AI-powered accent and pronunciation training with about 90% speech-analysis accuracy. I enjoy solving practical problems through efficient, user-friendly software and collaborating on innovative projects.
Experience
Work history, roles, and key accomplishments
• Developing and securing HIPAA-sensitive healthcare APIs for enterprise clients using Forum Sentry, a specialized API gateway and
mediation platform for policy enforcement and service orchestration.
• Implementing OAuth 2.0 and JWT-based authentication and authorization flows, enforcing role-based access control (RBAC) to protect
patient data across distributed service boundaries.
• Authoring XSL
• Working as a full-stack developer on workflow-driven applications involving interactive and
personalized AI agents.
• Developing cross-platform mobile applications using React Native for structured user–agent
interactions.
• Designing and implementing Flask-based backend systems to support scalable, personalized
workflows.
• Building modular, configuration-driven UI components enabling controlle
• Contributed to a high-impact internal call-scoring web app, collaborating with a cross-functional team to implement features using React, Next.js, and TypeScript.
• Leveraged TanStack Query to optimize data fetching and caching, improving app responsiveness by
15%.
• Enhanced team productivity by driving code reviews and integrating best practices across the project
lifecycle.
• Delivered multiple client projects part-time alongside final year of university, building production web applications using React, Node.js, and MongoDB end-to-end. Built CamSense for a retail client — a real-time AI-powered shoplifting detection system (Tauri + Flask + WebSockets) achieving ~92% detection accuracy with sub-second alert latency. Delivered QR Medic for a healthcare client — a QR-b
• Designed and developed the company’s primary website using the MERN stack (MongoDB, Express.js, React, Node.js).
• Built and implemented key frontend features, improving responsiveness and user experience.
• Integrated backend APIs to ensure smooth data exchange between frontend and backend services.
• Gained experience working in a fast-paced startup environment, improving problem-solving and c
Education
Degrees, certifications, and relevant coursework
National University of Sciences and Technology (NUST)
Bachelor of Engineering, Computer Software Engineering
Relevant coursework: Data Structures & Algorithms, Artificial Intelligence, Web Engineering, Database Management Systems, Software Design Patterns. Final Year Project: BiLinGo — AI-powered accent and pronunciation training app (React + Flask) achieving ~90% speech analysis accuracy using real-time speech recognition pipelines.
National University of Sciences and Technology (NUST)
Bachelor's degree , Computer Software Engineering
2021 - 2025
• Relevant coursework: Data Structures & Algorithms, Artificial Intelligence, Web Engineering, Database Management Systems, Software Design Patterns
• Final Year Project: BiLinGo — AI-powered accent and pronunciation training app (React + Flask) achieving ~90% speech analysis accuracy using real-time speech recognition pipelines.
Tech stack
Software and tools used professionally
Availability
Location
PakistanAuthorized to work in
Job categories
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