Muhammad Rayyan Ayub
AI & Machine Learning Intern | Final-Year BS Computer Science Student
Karachi
Summary
Final-year Computer Science student with hands-on experience in AI, machine learning, and data-driven applications through internships and industry-focused bootcamps. Skilled in Python, ML model development, API-based systems, and practical problem-solving. Actively seeking opportunities to apply AI and software engineering skills in real-world, impact-driven projects.
Overview
1
1
year of professional experience
8
8
Certifications
Work History
Artificial Intelligence Intern
Nisum Technologies Inc.
01.2026 - Current
- AI Intern working on Python-based backend development and foundational AI workflows.
- Developing and refining Python code for application logic, data handling, and feature implementation.
- Gaining hands-on exposure to AI-driven product development in an enterprise software environment.
- Supporting ongoing AI and MVP-level projects through research, experimentation, and implementation tasks.
- Collaborating with cross-functional teams while following industry-standard development practices
Machine Learning Intern
The Aria International
01.2025 - 05.2025
- Applied machine learning techniques to predict outcomes using real world datasets.
- Developed predictive models and timeseries models to assist in decision-making and trend analysis.
- Utilized Python, Scikit-learn, TensorFlow, and SQL for data preprocessing, model training, and evaluation.
Data Visualization Intern
Excelerate
11.2024 - 12.2024
- Analyzed ad campaign performance to determine which campaigns should continue or be discontinued.
- Utilized data visualization techniques to present campaign insights to stakeholders.
- Developed reports using Python and SQL to track advertising effectiveness.
Education
Bachelor of Science - Computer Science
DHA SUFFA University
Karachi, Pakistan07-2026
Skills
- Programming Languages: Python (Advanced), SQL
- Deep Learning/AI: Generative AI (LLMs, RAG), Agentic AI, CNNs, Transformers, TensorFlow
- FastAPI for model serving
Certification
GIKI Full-Stack AI Bootcamp (ML to LLMs & Beyond)
Timeline
Artificial Intelligence Intern
Nisum Technologies Inc.
01.2026 - Current
Machine Learning Intern
The Aria International
01.2025 - 05.2025
Data Visualization Intern
Excelerate
11.2024 - 12.2024
Bachelor of Science - Computer Science
DHA SUFFA University
Projects
Enterprise-Grade TaskBuster AI Pro Agent
GitHub Repository: https://github.com/rayyan2002/TaskBuster-AI-Pro.git
- Engineered and deployed a production-ready multi-tool AI agent, demonstrating strong understanding of LLM system architecture and agent-based workflows.
- Designed a controller prompt to enable intelligent task decomposition and dynamic tool selection, including Web Search, Multi-Document RAG, and Math Solver.
- Implemented citation generation, conversation memory, and document comparison across six file formats (PDF, DOCX, CSV, XLSX, TXT, JSON) using a modular LangChain framework.
- Developed a professional Streamlit-based user interface with robust error handling, state management, and memory optimization, configured for Docker-based deployment.
- Developed an end-to-end machine learning pipeline to predict successful landings of SpaceX Falcon 9 first-stage rockets.
- Collected and processed data using the SpaceX REST API and web scraping (BeautifulSoup) techniques.
- Performed Exploratory Data Analysis (EDA) using SQL, Matplotlib, and Seaborn to uncover trends and correlations.
- Trained and evaluated classification models including Decision Tree, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN) to achieve high predictive accuracy.