Research Work-I (May 2021– August 2022)
Responsibilities

Research and Development of “An IoT-based aquaculture System for Monitoring and Predicting the Water Quality Using Deep Learning”
Hands-on experience with constrained devices such as ESP32, and Smart Aquaculture sensors (e.g, Tds, Turbidity, Temperature, pH, Ultrasonic, GPS etc).
Hands-on experience with IoT technologies such as MQTT, NoSQL database (MongoDB), Apache Kafka, Apache Spark, and Grafana.
Implemented Deep Learning algorithms (such as LSTM, GRU and hybrid model of LSTM-GRU) for prediction
Developed program in Arduino IDE/ Visual Studio Code.
Design the hardware matched for project needs.
I am working on a research paper on Smart Aquaculture.

Research Work-II (May 2021– August 2022)
Responsibilities

Research and Development of “IoT-based Agriculture Monitoring System”.
Hands-on experience with constrained devices such as ESP32, and Smart Agriculture sensors (e.g, Soil Moisture and Temperature, pH, GPS etc).
Hands-on experience with IoT technologies such as MQTT, NoSQL database (MongoDB), Apache Kafka, and Grafana.
Developed program in Arduino IDE/ Visual Studio Code.
Design the hardware matched for project needs.

Research Work-III (August 2022-Present)
Responsibilities

Data Logging from ESP32 and ESP8266 to Google Sheets with Apps Script
Currently, integrating various sensors with the ESP32 to remotely monitor the onsite voltages.

Currently working as Internee Engineer at PTCL in Transmission Department.
The experiences I have acquired during this internship period are as follows:
• Service configuration
• Alarm monitoring on NMS (Network Management System)
• Optimization of network resource
• Network troubleshooting
• Learn how various service flows have been implemented.