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Rashid Yaseen

NUST · 2022
Email
rashidyaseen5484@gmail.com
Phone
03027530487
LinkedIn
https://www.linkedin.com/in/rashid-yaseen-7bb729294/
GitHub

Academic

Program
BSCS
CGPA
3.12
Year
2022
Education
SEECS
Address
SAHIWAL, JOHAR TOWN HOUSE NO.352 , Sahiwal , Pakistan
DOB

Career

Current role
Target role
Skills
AI/ML, Full-stack mobile and web development, Flutter, Express.js, Generative AI, LLMs, RAG, DevOps, AWS, Docker, Git, Model inference systems, Ensemble learning, Static and dynamic analysis, Agentic AI, CI/CD pipelines, Kubernetes, Linux System Admin, RHEL, LVMs

Verbatim text

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Rashid Yaseen
Cell: 03027530487 |  Email: rashidyaseen5484@gmail.com
LinkedIn: https://www.linkedin.com/in/rashid-yaseen-7bb729294/
Address: SAHIWAL, JOHAR TOWN HOUSE NO.352 , Sahiwal , Pakistan
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.

AI enrichment

Rashid Yaseen is a BSCS graduate with a 3.12 CGPA and internship experience at NCAI, where he engineered secure model inference systems. He possesses a diverse skill set spanning full-stack development with Flutter and Express.js, AI/ML implementation using LLMs and RAG, and DevOps practices on AWS.
Skills (AI)
["Flutter", "Express.js", "Generative AI", "LLMs", "RAG", "AWS", "Docker", "Kubernetes", "CI/CD", "Linux System Administration", "Machine Learning", "MLOps", "Git"]
Status: ai_done
Provenance
Source file: SEECS - Computer Science-2026.pdf
From job #258 page 90
Created: 1778167261