Career Objective
Embedded Systems Engineer specializing in IoT, Robotics, and Autonomous Systems with a strong background in Deep Learning, ROS2, and cross-platform deployment. Aspiring to engage in research and development in field robotics to advance autonomous navigation and contribute to innovative projects in maritime exploration.
Experiences
Project: iMarEx - Intelligente Maritime Exploration
Contributing to the iMarEx project at the Universität Bremen within the Kognitive Neuroinformatik lab. Key responsibilities include:
- Autonomous Navigation Development: Developing the ROS2-based autonomous navigation stack and conducting simulations to validate algorithms.
- Cross-Platform Deployment: GitLab CI/CD pipelines using Docker for multi-architecture deployment (amd64, arm64, riscv64), improving deployment efficiency.
- Collaboration: Working closely with multidisciplinary teams, including AI researchers and marine engineers, to integrate AI-driven exploration technologies.
This role supports advanced AI-driven maritime exploration with an emphasis on autonomy, adaptability, and robust deployment across diverse hardware platforms.
Worked as an embedded system engineer for IoT devices. My job responsibilities included design, prototype and deployment of real-time remote sensing/controlling of IoT systems.
- Firmware Development
- PCB Design
- 3d modeling (Enclosure Design)
Was hired as a mentor for a TV Reality Show about Robotics titled GPH Ispat Esho Robot Banai. My job responsibility included guiding the participants and helping with the technical aspects of the events. Also at the lab of CRID-USA, who is a partner of the show, developed several fun appliance robots like IoT-based Grilling Oven that could be controlled over the internet in real-time, etc.
TekModules is a startup of electronic module making for hobbyists. I worked as a PCB designer
- Organized, attended, and mentored numerous events, workshops, seminars, and competitions.
- Instructor of Basic Robotics course offered by the club since Summer 2016.
Semester-long weekly workshop on the basics of robotics, programming microcontrollers, and a final project. I took classes and designed the curriculum and projects.
Education
Erasmus Mundus Master in Marine and Maritime Intelligent Robotics (MIR)
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1st year of the Double Masters degree program (UTLN):
Notable Courses: Deep Learning, Reinforcement Learning, Advanced Control, Marine Mechatronics, Sensor Fusion, Oceanography -
2nd year(NTNU):
Study Track 2: Safe autonomous subsea operations
Specialization Courses: Marine Control Systems, Autonomous Marine Systems, Aerial Robotic Autonomy.
Concentration: Embedded systems
Courses: Deep Learning, Hardware-Software co-design, Communication Electronics
CGPA: 3.22/4.00
| Major: 1. Electronics 2. Computer | Minor: Computer Science |
- Thesis: “Underwater Data Collection Using an Autonomous Float-Back Sub” (achieved GPA 4.00/4.00)
- Core Topics: Electrical fundamentals, Micro Processors, Analog and Digital electronics, DSP, Control System, Computer architecture, Object-Oriented Programming, Database, System Design, Software Engineering.
GPA: 5.00/5.00
GPA: 5.00/5.00
Projects
Developing a two-stage object detection pipeline for autonomous UAV operation as part of my MSc thesis project.
Project work as part of the master’s course Marine Control Systems 1 using MSS (Marine Systems Simulator) MATLAB-Simulink Toolbox. We had to model environmental loads and develop controller for a DP system using EKF and Non-Linear Passive Observer.
Practical work as part of the master’s course Marine Mechatronics.
Practical work as part of the master’s course Marine Mechatronics.
The Universite de Toulon and Ensta Bretagne organized an autonomous boat competition in Guerlédan Lake, France. Participants were tasked with constructing a boat that could follow a pre-determined path marked by GPS points in the shortest time possible. Main tasks of this project: 1) IMU and magnetometer calibration. 2) Vessel Motion control (Speed and Heading) based on GPS, IMU, and Magnetometer data. 3) Remote controller setup for manual override.
Tools Used: Raspberry Pi, IMU, GPS, DC motor+ESC, Radio Controller.
BRACU Duburi is the first autonomous underwater vehicle of Bangladesh and was launched in 2017. “Duburi” team was successful to secure 7th position in SAUVC (Singapore Autonomous Underwater Vehicle Challenge) 2018.
As the electronics lead, I designed the main controller board(SAUVC18). I worked on system design, firmware development for the Pixhawk ‘dive-controller’, underwater acoustic positioning system, custom depth sensor and its PID interface library for the AUV (SAUVC19).
Publications
Honors and Awards
Course: Deep Learning, Summer Term 2021, by Prof. Dr.-Ing. habil. Andreas Maier
Course: Deep Learning, Summer Term 2021, by Prof. Dr.-Ing. habil. Andreas Maier
I started this unique program at the University of Toulon, France in 2021 and am now continuing my 2nd year at the NTNU, Norway.
Designed a technology-driven solution to make hand washing fun and convenient for caregivers across South Asia, competing against 800 ideas, reaching the top 4, and attending the finale held in Thimphu, Bhutan.
As the electronics lead of Team LazyBotz (jr1 & jr2) from BRAC University attended DUET Techfest 2018 Speed Battle.
- Built a lightweight, extremely fast LFR(Line Following Robot) on a single PCB.
Based on semester GPA, students are placed on Dean’s List, in recognition of an undergraduate’s outstanding academic performance that particular semester.