Muhammad Ali

Computer Science graduate (Air University, 2026) with hands-on experience across machine learning, deep learning, computer vision, and data analytics, built through two data-focused internships and eleven end-to-end projects spanning NLP, audio ML, and computer vision.

Comfortable working the full pipeline: cleaning and analyzing data in Python and SQL, building and evaluating models in TensorFlow, Keras, and Scikit-learn, and shipping results through deployed APIs, Power BI dashboards, or Streamlit applications. Recent work includes a production-deployed Retrieval-Augmented Generation (RAG) chatbot (LangChain, FAISS, Groq Llama 3.3 70B), a real-time road damage detection system (YOLOv8) with object tracking, and a voice-based call sentiment analysis API containerized with Docker and deployed on Railway. Seeking an entry-level Data Analyst, Machine Learning Engineer, or AI Engineer role.

Data Analytics & Software Engineering Intern - Saluq Enterprises

(2024-06 - 2024-08)

• Built Python-based data analysis scripts and visualizations to support internal decision-making across software engineering and analytics projects.
• Applied machine learning techniques to identify operational patterns and collaborated with engineering staff to integrate analytics output into existing workflows.

Data Analytics Intern - OGDCL

(2025-07 - 2025-08)

• Designed interactive Power BI dashboards and cleaned/transformed raw datasets with Python and SQL for stakeholder reporting.
• Supported ELT pipeline development using Apache Airflow and Apache Kafka, gaining hands-on exposure to production-style data ingestion.

Bachelor of Science - Computer Science - Air University, Islamabad (2026)