MUHAMMAD SHEES

[email protected] • +92 3337872827 • Quetta
LinkedIn: https://www.linkedin.com/in/mohammad-shees-76801236a/ • GitHub: https://github.com/MOSHO1133

PROFESSIONAL SUMMARY

Chief Operating Officer (COO) and AI Engineer with hands-on expertise in Artificial Intelligence, Deep Learning, full-stack web development, IoT systems. Experienced in leading startup operations, aligning technical execution with business strategy, and delivering real-world, scalable systems. Strong leadership focus with proven ability to bridge technology and management.

WORK EXPERIENCE

Chief Operating Officer (COO)
01/2025 - Present
Zynxis , Quetta
• Led the technical and operational strategy for AI-driven products, driving a 30% increase in user engagement through innovative chatbot solutions
• Oversaw AI, deep learning, and full-stack web application development, delivering scalable systems that supported a 50% growth in active users
• Managed system architecture and deployment workflows, reducing deployment time by 40% while ensuring high availability and performance
• Coordinated cross-functional teams to align business objectives with technical execution, resulting in a 25% improvement in project delivery timelines
Intern
06/2025 - 07/2025
World Wide Fund for Nature (WWF) Pakistan , Remote
• Led data collection and analysis for an environmental preservation project, improving data accuracy by 20% to support WWF Pakistan’s conservation goals
• Developed detailed reports and presentations that informed strategic decisions, contributing to a 15% increase in stakeholder engagement
• Collaborated with cross-functional teams to implement sustainable practices, enhancing project efficiency and environmental impact
• Gained hands-on experience in structured project workflows and professional delivery within a mission-driven organization
Tragedy Assisting Ban System – Arduino, GSM Module, Sensors
• Developed a hardware-based emergency response system designed to detect distress or harmful physical situations
• Automatically sends an alert or call to a pre-saved emergency contact using a GSM module when abnormal behavior or motion is detected
Fake News Detection System – Python, Scikit-learn, NLP
• Trained ML model on news datasets to classify real vs fake news
• Used TF-IDF vectorization and logistic regression for classification
Image-based Emotion Recognition – Python, OpenCV, CNN
• Developed deep learning model for detecting facial emotions from webcam input
• Enabled real-time classification into emotions like happy, sad, angry, etc.
IMalware Detection using ML – Python, Random Forest, Cybersecurity
• Developed a static malware scanner trained on PE file features
• Used Random Forest algorithm to classify malicious files

EDUCATION

Cambridge International O Levels
01/2019 - 01/2021
Beaconhouse School System, Quetta , Quetta
Cambridge International A Levels
01/2021 - 01/2023
Beaconhouse School System, Quetta , Quetta
Bachelor of Science in Computer Science
01/2027
National University of Sciences and Technology (NUST), Balochistan Campus , Balochistan

SKILLS

Technical Skills: Python, C++, Dart, SQL, Edge Computing, Full-stack web development, Machine Learning, Deep Learning, App Development
Soft Skills: Leadership, Research, Technical Writing, Agile Workflow, Strategic Planning, Team Collaboration
Tools: Raspberry Pi, Arduino
Other: Project Management, Operational Strategy

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