Computer Engineer and Data Scientist with expertise in AI-driven healthcare solutions, machine learning, and data analytics. Led the development of a PHP based Chronic Disease Registry and a heart disease dashboard under the HEC-NRPU funded project, deploying Llama 3.2 Vision Model for automated medical data extraction. Published an SLR on LLMs like Llava and Qwen2 VL in healthcare analytics. Previous roles include monitoring security systems in the Quetta Safe City Project and data entry for BISP at NADRA, ensuring data integrity and automation. Skilled in system development, AI-driven decision-making, and interdisciplinary research collaboration
Unlocking insights from data to drive smarter decisions and Developing intelligent systems for automation and decision-making.
Building dynamic and responsive digital experiences.
Conducting in-depth analyses to advance knowledge and innovation.
Transforming data into actionable business strategies.
Research Assistant & Team Lead
Chronic Disease Registry in Balochistan (HEC-NRPU Funded) | BUITEMS, Quetta
• Built a PHP-based Chronic Disease Registry system for an HEC-NRPUfunded
project, standardizing hospital data from Quetta.
• Designed a chronic heart disease dashboard for advanced data visualization
and analysis.
• Published an SLR paper on leveraging LLMs like Llava and Qwen2 VL for
healthcare data analysis.
Trainee Engineer
Quetta Safe City Project (QSCP)
In this role, I was responsible for monitoring and reporting on security cameras deployed across various locations in Quetta. Preparing weekly update reports on the operational status, maintenance needs, and progress of surveillance infrastructure. I collaborated with field teams to ensure the proper functioning of security systems.
Data Entry Executive
NADRA
Worked as a Data Entry Executive in the Dynamic NSER registration process at the BISP registration center, where I was responsible for registering beneficiaries for the Benazir Income Support Programme (BISP). I facilitated questioning and verification processes, maintained data integrity, and collaborated with team members to streamline the National Socio-Economic Registry (NSER).
Masters in Computer Engineering
Balochistan University of Information Technology, Engineering and Management Sciences Quetta
MS Computer Engineering,
April 2023 - June 2025
Skills: Data Science · Microsoft Power BI · Microsoft Excel · Microsoft Office · Communication · Team Leadership · Management Systems
Bachelors in Computer Engineering
Balochistan University of Information Technology, Engineering and Management Sciences Quetta
August 2018 - Nov 2022
Grade: CGPA 3.82 Silver Medallist
Skills: Microsoft PowerPoint · Query Writing · Query Resolution · C# · Microsoft Word · C (Programming Language) · Microsoft Office · Communication · Team Leadership
Intermediate (Pre-Engineering)
Govt postgraduate Science college, Quetta
Percentage: 66%
Matriculation
Eton Public High School and College, Chaman
Percentage: 71%
Hours Worked
Research Publications
Happy Clients
Online Courses Done
Harnessing the power of AI, I develop and fine-tune machine learning models for real-world applications. From predictive analytics to deep learning architectures, my expertise ensures efficient model deployment and optimization. Whether it's natural language processing, computer vision, or recommendation systems, I create intelligent solutions that drive automation and informed decision-making.
With a strong background in academic and technical writing, I specialize in crafting well-structured, data-driven research papers. My expertise spans systematic literature reviews, case studies, and technical reports, ensuring clarity, coherence, and impact. From ideation to publication, I focus on producing high-quality content that meets rigorous academic and industry standards.
I build dynamic, user-friendly, and responsive web applications tailored to meet business needs. Proficient in both frontend and backend technologies, I develop scalable solutions with seamless UI/UX experiences. Whether it's an e-commerce platform, a portfolio site, or a data-driven web app, I ensure performance, security, and efficiency in every project.
Transforming raw data into meaningful insights, I specialize in data cleaning, visualization, and statistical analysis. Using tools like Python, SQL, and Power BI, I uncover patterns and trends that drive strategic decision-making. My expertise spans business intelligence, predictive modeling, and exploratory data analysis, helping organizations make data-driven choices.
Bridging the gap between business goals and technological solutions, I analyze processes, identify inefficiencies, and recommend data-driven improvements. With expertise in market research, process optimization, and stakeholder management, I provide actionable insights that enhance business performance and strategic planning.
Combining technology with healthcare, I specialize in managing, analyzing, and optimizing medical data systems. From electronic health records (EHR) management to AI-driven diagnostics, I work on solutions that enhance patient care and operational efficiency. My expertise contributes to the integration of digital health technologies in modern medical systems.
From Pixels to Paragraphs: Extraction of Text from Medical Reports using LLMs, Systematic Literature Review
By: Muhammad Sadiq; Ramsha Tariq; Anayat Ullah; Jeneen Panezai 34
Published in: 2024 2nd International Conference on Foundation and Large Language Models (FLLM)
Abstract: Large language models are emerging very rapidly in applications covering nearly all fields including healthcare. In healthcare, these are commonly used for image to text, information extraction and generation and finding results from the medical notes and images. In spite of their extraordinary applications in healthcare, a standard and comprehensive systematic literature review (SLR) in this domain is lacking. However, there are quite a few systematic literature reviews in the field of large language models (LLMs) approaching the medical field. For that reason, this paper evaluates the literature to gather the relevant studies regarding LLMs in the medical...
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The Influence of Parents and Society Expectations on Student Career Choices: The Role of Academic Counselling in Balochistan
By: Muhammad Sadiq, Noor Nama, Muhammad Anees, Ramsha Tariq, Muhammad Aslam, & Bibi Mahmouna
Published in: Social Science Review Archives Vol. 2 No. 2 (2024)
Abstract: This research discovers the influence of parental and societal burdens on career adoptions among students in Balochistan, with a specific focus on the role of academic counselling. A survey of 281 students divulges momentous external influences, mostly in the fields of medical and engineering, driven by outmoded opinions about job sanctuary. The study also recognizes a serious gap in access to career counselling...
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The Emerging Trends of AI & LLMs in Various Domains: Transforming Healthcare & Beyond
Organized by: Techies Africa
I had the privilege of speaking at today's X Space session hosted by Techies Africa on "The Emerging Trends of AI & LLMs in Various Domains – Transforming Healthcare & Beyond" 🚀 It was an incredible experience to discuss how AI and Large Language Models (LLMs) are revolutionizing industries, especially healthcare, and to share insights with an engaging and curious audience. The conversation was filled with thought-provoking discussions, real-world applications, and emerging trends shaping the future of AI.
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