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Adil Shah
@adii_shah9
AI IoT Engineer Embedded Engineer
Pakistan
Anglais, Ourdou, Pachto
À propos de moi
I am an Electrical Engineer with a Master’s in Artificial Intelligence, specializing in AI/ML, Deep Learning,
Embedded Systems, and IoT. I develop intelligent, real-time solutions for applications such as water quality
monitoring, bacterial detection, smart agriculture, and industrial automation. Skilled in Python, C++,
MATLAB, Linux, Jetson Nano, Raspberry Pi, and sensor-based systems. Experienced with CNNs, RNNs,
transformers, and deploying ML/DL models on edge devices using IoT protocols and cloud connectivity to
deliver scalable, field-ready AI-IoT systems.
Compétences
Adil Shah
hors ligne •
Voir mes services
Programmation et Tech
I will do ai, machine learning and deep learning projects
Programmation et Tech
I will do python programming and gui in tkinter, pyqt projects
Expérience professionnelle
CISNR
Temps plein • 1 yr 10 mos
ML Engineer
Mar 2025 - Present • 1 yr 2 mos
• Developing chemical and biochemical water quality monitoring devices (portable and fixed setups). • Integrated chemical sensors, GPS, and cloud-based data transmission using Raspberry Pi, microcontrollers, and other electronic modules. • Built an AI/IoT-based computer vision system for early E. coli detection, reducing detection time from 24 to 5 hours with 85%+ accuracy. • Implemented deep learning models, including CNNs and RNNs for image and time-series data analysis, enabling real-time predictions and anomaly detection. • Designed fully automated, low-cost, field-deployable solutions, combining sensor data, edge AI processing, and cloud analytics. • Hands-on experience with Python, C/C++, MATLAB, TensorFlow, PyTorch, and deploying AI models on Edge platforms (Jetson Nano, Raspberry Pi).
IoT Engineer
Jun 2024 - Feb 2025 • 8 mos
• Developed IoT-based smart plant incubators (semi-isolated, fully isolated, and greenhouse setups) with automated sensors, irrigation, lighting, and climate control. • Implemented real-time data transmission via Wi-Fi/GSM to cloud platforms for remote monitoring and dynamic environment adjustment. • Applied AI and deep learning to assess plant health, growth stages, and environmental impact. • Completed full crop growth cycles and developed a fully autonomous smart greenhouse for performance comparison. • Strong programming skills in Python, C/C++, MATLAB, with hands-on experience in Machine Learning & Deep Learning frameworks (TensorFlow, PyTorch). • Familiar with Edge AI platforms (NVIDIA Jetson Nano, Raspberry Pi), IoT systems, sensor integration, and communication protocols (MQTT/HTTP/TCP/UDP).
Research Assistant
National Centre for Artificial Intelligence (NCAI) • Temps plein
Jul 2023 - Jun 2024 • 11 mos
• Designed IoT-based environmental monitoring systems using Raspberry Pi, Arduino, ESP, and GSM modules. • Developed computer vision models (YOLO variants) for real-time object detection. • Created 3D prototypes using SolidWorks and 3D printing. • Worked with Python, C/C++, MATLAB, and deployed AI models on Edge platforms (Jetson Nano, Raspberry Pi). • Gained experience in IoT integration, sensor calibration, and cloud communication (MQTT/HTTP).
