Malik Muhammad Aman

PROFESSIONAL PROFILE My work focuses on building production-oriented mobile and full-stack applications, with strong experience in Flutter and Android development, clean architectural patterns (MVVM), authentication workflows, API-driven user interfaces, and scalable backend services. Alongside application engineering, I design and integrate applied LLM systems, including retrieval-augmented generation (RAG) pipelines, prompt-controlled knowledge grounding, and end-to-end deployment of LLM-powered features such as educational chatbots. I am also developing privacy-preserving document processing pipelines, including document redaction modules and synthetic data workflows, with an emphasis on document understanding and data protection. My strengths include system-level thinking, clean software design, rapid learning, and the ability to translate research-oriented ideas into reliable, user-facing systems, complemented by clear communication, strong ownership, and effective collaboration in fast-moving technical environments. EDUCATION Bachelors of Computer Science School of Electrical Engineering and Computer Science , Islamabad , 3.52 (2026) INTERNSHIP EXPERIENCE TruID 11-May-2024 - 11-Aug-2024 Developed production-oriented Android applications using clean architectural patterns and Android Jetpack components (ViewModel, LiveData, Navigation), with responsive UIs built in XML and Jetpack Compose. I worked extensively with Camera2 and CameraX APIs to implement advanced camera features, real-time on-device image processing, and motion analysis using optical flow. I also integrated and optimized machine learning models for mobile deployment using TensorFlow Lite, contributed to SDK optimization, and ensured app reliability through structured testing and debugging. TruID - Part Time Job 11-Aug-2024 - 11-Mar-2025 As a Junior Mobile Developer at TruID, I contributed to maintaining and enhancing the Signature Product Android application, focusing on performance, stability, and feature improvements. I implemented image processing pipelines, integrated CameraX for consistent camera functionality, and deployed on-device machine learning models. Additionally, I worked on converting fingerprint images to ISO-standard templates and briefly contributed to developing a Tenant Management System for NSTP, gaining experience in full-stack development and practical software solutions. I ensured code reliability and quality through systematic debugging, testing, and iterative improvements in a production environment. FINAL YEAR PROJECT Text to Document Generation, A Generative Framework for Privacy Preserving Document Image Synthesis The scarcity of high-quality, shareable document datasets for AI training is a challenge due to slow manual anonymization and privacy issues. With privacy breaches averaging $4.88M in 2024 and human-generated text for LLMs expected to diminish by 2026– 2032, robust AI model development may be limited. The proposed solution is designed to generate structurally coherent, requirement-specific, and semantically aligned real-world documents combining LLMs and diffusion models, for Document AI. Text- to-Document revolutionizes AI training by generating hyper-realistic, privacy-safe documents with authentic handwriting and verified ground truths. TECHNICAL EXPERTISE

My work focuses on building production-oriented mobile and full-stack applications, with strong experience in Flutter and Android development, clean architectural patterns (MVVM), authentication workflows, API-driven user interfaces, and scalable backend services. Alongside application engineering, I design and integrate applied LLM systems, including retrieval-augmented generation (RAG) pipelines, prompt-controlled knowledge grounding, and end-to-end deployment of LLM-powered features such as educational chatbots. I am also developing privacy-preserving document processing pipelines, including document redaction modules and synthetic data workflows, with an emphasis on document understanding and data protection. My strengths include system-level thinking, clean software design, rapid learning, and the ability to translate research-oriented ideas into reliable, user-facing systems, complemented by clear communication, strong ownership, and effective collaboration in fast-moving technical environments.