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Assalam-O-Alaikum! 👋
I design & code for IoT devices and mobile apps. Passionate about creating smart solutions with C++, Python, Flutter, and ML. Experienced in managing projects with ClickUp & Slack.
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I'm a Computer Engineering Graduate from the National University of Sciences and Technology (NUST), specifically at the College of Electrical and Mechanical Engineering (EME). I graduated in 2025.
I'm particularly fascinated by the merging of the physical and digital worlds through the Internet of Things (IoT). My deep expertise in IoT is complemented by strong skills in Flutter App Development, Python Backend, and Machine Learning.
Currently working as an Embedded Software Engineer at DPL Pvt Ltd, where I develop firmware and embedded software solutions. Previously worked as a Firmware Engineer at Quickgen Technologies, developing firmware for ESP32, STM32, NRF52, and creating end-to-end solutions using Raspberry Pi, Jetson Orin, and mobile platforms. I also apply project management best practices acting in technical leadership roles.
Specializing in Advanced Embedded Systems and AI Integration
College of Electrical & Mechanical Engineering (EME)
Physics, Computer Science, and Mathematics
Science Group
Professional projects including Firmware, IoT, and Mobile Solutions
Smart device that senses environmental conditions and sprays perfume based on sensor data. Features BLE connectivity for mobile app control and real-time monitoring.
Advanced parking assistance system using sensors to detect obstacles. Alerts drivers via mobile vibration and USB dongle with buzzer and LED indicators.
Smart device designed for golf players, equipped with built-in GPS, microphone, and speaker. It connects seamlessly to a mobile phone via BLE and A2DP, allowing real-time location tracking, voice interaction, and audio feedback to enhance the overall golfing experience
Advanced research and development in Embedded Systems & AI
Developed a comprehensive machine learning framework using Stacking Ensemble (RF, GBM, SVM) on a 920-patient cohort. Achieved 86.96% accuracy and 91.65% ROC-AUC, addressing class imbalance and missing data for robust multi-source prediction.
Conducted a comparative analysis of optimization algorithms (Newton’s, BFGS, L-BFGS) focusing on time and space complexity. Demonstrated L-BFGS's superior efficiency for large-scale machine learning problems through theoretical analysis and benchmarks.
Undergraduate projects and personal innovations
Real-time monitoring system using ESP32 and MQ/DHT22 sensors. Features ESP-NOW wireless communication, custom PCB design, and Azure Cloud integration for global data access.
Smart water management system for homes using IoT technology. Monitors and controls water levels in household tanks in real-time to promote water conservation.
Automated attendance tracking system using RFID technology with ESP32. Features web-based interface with PHP and MySQL for efficient record management.
Arduino
ESP32
NINA
STM32
NRF52840
Raspberry Pi
Compute Module
C,C++
Python
VS Code
PyCharm
ESP-IDF
Segger Embedded Studio
Arduino IDE
GitHub
Flutter
Slack
ClickUp
SPI
UART
I2C
HFP&A2DP
I2S
MQTT
Leading the technical wing of EME Media Club, organizing workshops, competitions, and technical events for students.
Directed technical events and managed cross-functional teams for one of NUST's premier computing societies.
Looking for an expert to bring your IoT or Firmware ideas to life? I am available for freelance projects, consultancy, and technical leadership roles.
I believe in giving back. If you are a student struggling with your FYP or need guidance in Embedded Systems, contact me for free mentorship.
Let's create something amazing together
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.