About
Highly accomplished AI Engineer and Data Scientist with a strong foundation in Software Engineering, seeking to leverage extensive expertise in computer vision, machine learning, and large language models (LLMs) into advanced AI/ML, Data Science, or Prompt Engineering roles. Proven ability to develop and deploy interactive, user-facing AI solutions, streamline data workflows with web automation, and lead complex, cross-functional projects, driving end-to-end system integrations for real-world challenges and measurable impact.
Work
Karachi, Sindh, Pakistan
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Summary
As a Data Scientist, Syed Muhammad Zawwar Asif automates critical reconciliation processes, analyzes sensor data for accuracy, and provides essential technical support, significantly enhancing operational efficiency and data integrity.
Highlights
Automated manual dip-read reconciliation using Selenium, reducing processing time by 90% and eliminating data entry errors.
Analyzed RTG sensor data to detect discrepancies in tank metrics (level, temperature, density), ensuring accuracy in reporting and preventing potential losses.
Provided technical support for depot operations, resolving 50+ incidents monthly and streamlining multi-bay truck loading workflows.
Karachi, Sindh, Pakistan
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Summary
As a Data Science Intern, Syed Muhammad Zawwar Asif contributed to a Telecommunication Churn Prediction project, exploring emerging technologies and enhancing professional communication skills.
Highlights
Contributed to a Telecommunication Churn Prediction project during a virtual internship, applying advanced data science techniques.
Attended weekly technical and non-technical online sessions, enhancing both domain knowledge and professional communication skills.
Explored and utilized emerging technologies, including Llama 3.2, Plotly, Seaborn, and Scikit-Learn, for data visualization and machine learning tasks.
Karachi, Sindh, Pakistan
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Summary
As a Project Management Intern, Syed Muhammad Zawwar Asif managed 5 simultaneous web development projects, ensuring on-time delivery and high client satisfaction through strategic planning and cross-functional collaboration.
Highlights
Managed 5 projects simultaneously, delivering websites on time with excellent client feedback and achieving high client satisfaction.
Applied strong communication, problem-solving, and strategic planning skills for efficient execution and successful project delivery.
Collaborated with cross-functional teams to optimize workflows and boost productivity, enhancing project outcomes.
Karachi, Sindh, Pakistan
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Summary
As a Junior AI Developer, Syed Muhammad Zawwar Asif developed and trained machine learning models, specializing in computer vision and object detection, through advanced image annotation and processing techniques.
Highlights
Performed multiple types of image annotation using RoboFlow, creating high-quality datasets for machine learning models.
Gained proficiency in OpenCV for image processing and OCR techniques, enhancing data extraction capabilities.
Trained models on Google Colab, specializing in YOLO for real-time object detection for various applications.
Publications
Skills
Technical
Python, OpenCV, Selenium, SQL, Pandas, Tesseract, HTML, CSS, JavaScript, PHP.
AI/ML
YOLO, Scikit-Learn, LLMs (OpenAI, Llama, Groq, Mistral), RAG, Random Forest, XGBoost, Naive Bayes.
Tools
Google Colab, RoboFlow, Streamlit, PyTorch, Git Version Control, Canva, Excel, MS Project.
Web Development
WordPress, Themes, Templates.
Management & Soft Skills
Project Management, Cross-Functional Collaboration, Agile Workflows, Strategic Planning, Problem-Solving, Communication.
Projects
AI-Driven CSV Insights Automation (Personal Project)
Personal
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Summary
Built a no-code automation workflow in n8n to transform raw CSV files into AI-powered insights and dynamic visualizations. Integrated Groq-Kimi for trend and anomaly detection, QuickChart for automated graph generation, and email delivery for seamless reporting, enabling rapid decision-making without manual analysis.
Label Recognition & Text Extraction Pipeline
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Summary
Created an OCR pipeline using OpenCV and Tesseract to extract text from printed labels, achieving 95%+ recognition accuracy, annotated over 5,000 images with Roboflow, and designed a Pandas-based ETL process to convert raw OCR outputs into clean, structured CSV files, reducing manual entry by 80%.