Rashid Yaseen

PROFESSIONAL PROFILE Versatile Software Developer combining deep technical expertise in AI/ML with full-stack mobile and web development. Skilled in building end-to-end solutions, leveraging Flutter and Express.js for frontend/backend interfaces while utilizing Generative AI (LLMs, RAG) for intelligent core logic. Strong background in DevOps practices, including AWS, Docker, and Git, ensuring scalable and secure deployments. Successfully engineered and deployed secure model inference systems during a 4-month internship at NCAI. EDUCATION BSCS SEECS , Islamabad , 3.12 (2022) INTERNSHIP EXPERIENCE National Center for Artificial Intelligence (NCAI) 01-Jan-2026 - 30-Apr-2026 Successfully engineered and deployed secure model inference systems during a 4-month internship at NCAI." FINAL YEAR PROJECT AI Based Malware Detection and Prevention System Developed a comprehensive Autonomous Malware Defense System as a Final Year Project. The solution employs a hybrid architecture combining ensemble learning algorithms for high-precision static and dynamic analysis. To address zero-day threats, the system utilizes Large Language Models (LLMs) to contextualize and analyze real-time system telemetry and process behavior. Furthermore, an Agentic AI module was engineered to close the security loop, enabling the system to autonomously assess risk levels and execute immediate, dynamic containment strategies to neutralize malicious activities. TECHNICAL EXPERTISE Flutter Expert at building Mobile Apps and Web apps. Complete ML engineer Holistic ML Engineer with a full-stack proficiency in AI, covering Deep Learning, LLMs/RAG, and MLOps for scalable, production- grade solutions. Devops Streamlined full-stack application deployment through automated CI/CD pipelines, utilizing Docker for containerization and Kubernetes for orchestration within AWS cloud environments. Linux System Admin, RHEL More then enough knowledge of linux system administration required for RHEL exam. Proficient at maintainig servers, lvms creation etc, user roles, storage and processes management.

Versatile Software Developer combining deep technical expertise in AI/ML with full-stack mobile and web development. Skilled in building end-to-end solutions, leveraging Flutter and Express.js for frontend/backend interfaces while utilizing Generative AI (LLMs, RAG) for intelligent core logic. Strong background in DevOps practices, including AWS, Docker, and Git, ensuring scalable and secure deployments. Successfully engineered and deployed secure model inference systems during a 4-month internship at NCAI.