Adil S

ML Engineer

National Center of Artificial Intelligence (NCAI) UET Peshawar • Fulltime

Mar 2025 - Present • 1 yr 8 mos

As a Machine Learning Engineer, I specialize in developing and deploying AI-powered solutions using Machine Learning, Deep Learning, and Computer Vision. I have hands-on experience building CNN, Transformer, and YOLO-based models for object detection, image classification, medical image analysis, and real-time intelligent systems. My expertise includes data preprocessing, dataset preparation, model training, evaluation, optimization, and deployment on edge devices such as Raspberry Pi and NVIDIA Jetson Nano. I also develop AI-IoT solutions that integrate intelligent models with sensors, embedded systems, and cloud platforms for real-time monitoring and automated decision-making. I work with Python, PyTorch, TensorFlow, OpenCV, and scikit-learn to build efficient and reliable AI solutions. My experience includes optimizing models using quantization and pruning, developing real-time computer vision applications, and integrating AI systems with web dashboards and cloud services. My goal is to transform complex problems into practical, scalable, and reliable AI solutions that deliver real-world value.

Freelance AI/ML Engineer

freelance • Freelance

Jan 2022 - Present • 4 yrs 10 mos

Delivered end-to-end AI/ML and computer vision solutions integrating deep learning models with edge devices and AWS cloud services. Designed scalable edge-to-cloud pipelines for real-time data streaming and visualization. Developed desktop GUI applications in Python using Tkinter and PyQt for model control. Managed the full AI lifecycle from data acquisition to deployment on resource-constrained hardware.

IoT Engineer

National Center of Artificial Intelligence (NCAI) UET Peshawar • Fulltime

Jun 2024 - Feb 2025 • 8 mos

As an IoT Engineer, I specialize in designing and developing smart IoT solutions that integrate sensors, microcontrollers, embedded systems, cloud platforms, and web-based monitoring dashboards. I have hands-on experience building real-time monitoring and control systems for smart agriculture, environmental monitoring, water quality assessment, and industrial applications. My expertise includes working with ESP32, Arduino, STM32, PIC32, Raspberry Pi, and various environmental and industrial sensors. I develop reliable IoT communication pipelines using MQTT, HTTP, UART, I²C, and SPI to enable seamless data acquisition, device communication, and real-time monitoring. I also have experience developing SCADA-based monitoring systems, automated control devices, weather stations, smart irrigation systems, and edge-to-cloud solutions with cloud data storage, analytics, alerts, and visualization dashboards. My goal is to deliver efficient, scalable, and reliable IoT solutions that connect physical devices with intelligent software to solve real-world problems.