Meesam Abbas
Meesam Abbas
Student at NED University, Karachi, Pakistan.
I am an Electronic Engineer graduate from NED University, specializing in Artificial Intelligence, Deep Learning, Robotics and Embedded Systems. My journey bridges intelligent algorithms with hardware systems to build smarter, more adaptive solutions and to create scalable, power-efficient, and real-time systems that bring intelligence to the edge enabling devices to sense, learn, and act autonomously.
Experience
10 Pearls Pakistan, Data Science.
Engineered a serverless end-to-end ML pipeline to predict Air Quality Index (AQI), automating data ingestion from external APIs (OpenWeather/AQICN) and feature generation using GitHub Actions.
Deployed an interactive Streamlit web dashboard for real-time forecasting and implemented SHAP/LIME for feature explainability, establishing a robust CI/CD workflow for continuous training.
Karachi Shipyard and Engineering Works, Electronic Engineer.
Applied core principles to analyze and build DC power supply circuits and understand high-voltage substation automation.
Optimized industrial efficiency by analyzing VFDs for energy savings and documenting complex motor control logic, including star-delta starting.
Neurocomputation Lab-NCAI, Computer Vision, IoT, Embedded System.
Integrated DHT11 sensing and Micro SD storage with the MQTT protocol to enable robust temperature tracking and real-time data visualization on a custom web dashboard.
Desgined and implemented an ESP32-based IoT system for real-time motor status monitoring, tracking X Y Z displacement using gyroscope sensors.
XPACE Technologies, Python Developer.
Delivered an efficient inventory management system built on Flask and SQL for improved product tracking and enhanced control.
Developed an automated program to process customer feedback, which efficiently reads unstructured text data, extracts crucial keywords, and produces summarized reports.
© Copyright 2026 Meesam Abbas.