I’m an IoT Engineer focused on building practical systems that connect sensors, embedded devices, data pipelines, and intelligent software.

I also work across AI/ML, Computer Vision, LLM applications, AI Automation, and Full-stack Development—with an emphasis on turning prototypes into useful real-world solutions.

• IoT Engineering: ESP32, Raspberry Pi, sensors, embedded systems, monitoring, and automation
• AI & Machine Learning: Computer Vision, CNNs, LSTMs, CNN-LSTM, Xception, OCR, face recognition, and anti-spoofing
• LLM & AI Research: LLM applications, AI assistants, research prototypes, and intelligent automation
• Data Engineering: Apache Kafka, PySpark, streaming data, and sensor-data pipelines
• Software Engineering: Python, TypeScript, JavaScript, Go, Java, and C
• Web & Backend: React, Vue, PHP, Laravel, REST APIs, MongoDB, and relational databases
• Tools & Platforms: Linux, Git, GitHub, Docker, and system integration

• kafka-pyspark-sensor-monitoring — Sensor monitoring pipeline using Kafka and PySpark.
• pit-dispatch-monitoring — Monitoring system for operational and dispatch activities.
• gmp-gas-test-automation — Automation system for gas-test workflows.

• face-recognition-python — Face recognition with anti-spoofing capabilities.
• ncv-classification — Deep learning classification project for visual data.
• emg-biosignal-cts-classification — EMG biosignal classification using deep learning.

• exam-website-anti-cheat — Web-based examination system with anti-cheating features.

• Designing reliable IoT systems from device to dashboard
• Connecting sensor data with real-time analytics and intelligent automation
• Building practical Computer Vision and LLM applications
• Improving system architecture, deployment, and technical documentation

I’m open to opportunities and collaborations in IoT Engineering, AI/ML Engineering, Computer Vision, LLM Engineering, AI Automation, and IoT-focused Full-stack Development.

• LinkedIn: linkedin.com/in/irfanqs
• GitHub: github.com/irfanqs