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AI Engineer with 2+ years in Machine Learning, Deep Learning & Data Analytics.
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Assessing your cultural and operational fit
AI Engineer with a strong foundation in data science and a proven ability to develop and implement AI-driven solutions. Experienced in machine learning, deep learning, and computer vision, with hands-on experience in developing real-time transcription, summarization systems, and facial emotion recognition models. Skilled in leveraging advanced analytics for risk analysis and building interactive data dashboards for operational insights. Committed to improving data workflows and driving better learning outcomes through effective instruction and curriculum development.
University of Punjab, Lahore
Bachelor of Data Science · Data Science
August 1, 2022 – June 30, 2026
Punjab Group of Colleges
FSc. · Pre-Engineering
June 1, 2020 – May 31, 2022
University of Punjab, Lahore
Teaching Assistant
August 1, 2023 – January 1, 2025
Lahore, Punjab, Pakistan
AI-Powered Meeting Assistant – Final Year Project
January 1, 2026 – Present
Developed an AI-driven insight extraction system enabling real-time transcription and automated summarization to optimize corporate documentation workflows. Designed a scalable data pipeline and architecture to manage unstructured meeting metadata efficiently. Docker containerization to ensure seamless deployment and environment consistency.
Medical Laboratory Data Analytics
August 1, 2025 – Present
Developed an interactive data analytics dashboard to visualize operational performance from raw laboratory records, enabling clearer reporting and insights. Built ETL workflows for data cleaning and transformation, ensuring accurate and structured datasets for KPI tracking such as turnaround time and reporting efficiency.
Facial Emotion Recognition
June 1, 2025 – Present
Preprocessed and managed large-scale dataset (35,000+ images) for model training. Implemented a VGG-based CNN for hierarchical feature extraction and emotion classification.
Risk Analysis of Thalassemia
January 1, 2025 – Present
Leveraged advanced analytics on healthcare datasets to perform deep-dive exploratory data analysis (EDA) and identify high-risk patterns.
National Skills and Competency Test (NSCT) - 95.5 percentile
Higher Education Commission of Pakistan in collaboration with Pakistan Software Houses Association
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse applications of AI, from healthcare analytics to meeting assistants, indicating adaptability and a broad problem-solving mindset. The teaching assistant role shows a willingness to contribute to a learning environment. However, all experience is academic, and there is no industry experience, which might impact immediate cultural integration into a fast-paced corporate environment without mentorship.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant suggests strong communication and mentoring skills, which are valuable for team collaboration and knowledge sharing. Project descriptions indicate an ability to work on complex problems and deliver structured solutions. However, the candidate's experience level is low (2), suggesting a need for more practical, industry-specific operational experience.