Mollah Md Saif

Embedded Software Engineer @ Sa.Ni.Corporate Srl

Currently working as an Embedded Software Engineer specializing medical device development. At Sa.Ni. Corporate Srl, Italy, I focus on creating innovative software and hardware solutions for medical baropodometry devices, enhancing diagnostic precision and user experience. My expertise extends to developing automation tools for Windows environments and optimizing operational workflows. I specialize in developing predictive analytics and financial simulation models, utilizing machine learning and statistical analysis to gain data-driven insights. With a Bachelor of Science in Computer Science, I bring a strong foundation in Artificial Intelligence, Machine Vision, and Autonomous Systems. My experience includes an internship in AI at Genofax, where I implemented healthcare solutions. My technical portfolio showcases diverse projects in space and robotics, including autonomous navigation systems, Computer Vision modules for Mars Rovers, and CubeSat development.

Education

BRAC University

BS in Computer Science

Jan 2020 – Sep 2024

Notre Dame College

High School Diploma, Science

2017 – 2019

Experience

Embedded Systems and Software Engineer

Sa.Ni.Corporate Srl

Rome, Italy

Jul 2024 – Mar 2025

  • Developing hardware and software solutions for medical baropodometry devices, focusing on improving user experience and advancing diagnostic precision.
  • Designed native Windows program automation tools to streamline processes and increase efficiency.

Artificial Intelligence Intern

Genofax®

Dhaka, Bangladesh

Jul 2023 – Jan 2024

  • Learning and implementing Artificial Intelligence Models in healthcare systems.
  • Research on personalized healthcare, focusing on genetics, epigenetics, human nutrition, and microbiome-derived diagnosis.
  • Developing AI-enabled bioinformatics pipeline for taxonomic classification and profiling of Bacteria.

Team Lead

BRACU Mongol Tori

Dhaka, Bangladesh

Jul 2022 – Jun 2023

  • Setting Goals and Objectives and Monitoring progress and performance.
  • Conducting regular performance evaluations and delivering constructive feedback to team members to support their growth and development.
  • Providing guidance and direction to team members.
  • Worked with Power System Design, made PCB with Autodesk Eagle, and implemented RTK-based mapping system in the WebUI.
  • Designed, Implemented, and Optimized Control System of Rover with C++, Python, and ROS.
  • Made a ROS based Communication and Control system from scratch, implemented Inverse Kinematics in 6-dof arm of Rover, and built Autonomous Science Module.
  • Researched and Learned Control Systems of Rover, and studied the feasibility of ROS in Mars Rover System.

Student Instructor

BRAC University Computer Club

Dhaka, Bangladesh

Nov 2021 – Apr 2022

  • Taking supplementary online classes on fundamental and intermediate programming courses.
  • Provided assistance to learners by resolving their queries through online learning platforms.

Publications

Autonomous Navigation in Crowded Spaces Using Multi-Sensory Data Fusion

Submitted to: 2025 IEEE International Conference on Robotics & Automation

Status: Accepted (To be presented in May 2025)

Projects

Multi-Agent Pathfinder for Optimal Path Selection of Multiple Fog Robot

Nov 2023 - Mar 2024

  • Developed a cost-effective multi-robot path planning system, "Multi-Agent Pathfinder," designed for efficient navigation and collision avoidance in dynamic environments.
  • Utilized Fog Robotics to offload computationally intensive tasks to a centralized server, reducing hardware complexity and cost for individual service robots.
  • Integrated YOLOv8 for real-time obstacle detection and AR tags for accurate robot localization.
  • Combined traditional algorithms, like a modified Conflict-Based Search (CBS), with reinforcement learning approaches to optimize pathfinding for multiple robots operating simultaneously.
  • Led the research, design, and implementation of the multi-robot path planning system.
  • Configured hardware components, programmed ESP32 microcontrollers, and established reliable robot-server communication.
  • Conducted simulations and real-world experiments, analyzed system performance, and addressed limitations.
  • Documented project progress and findings, and prepared comprehensive technical reports.

BIRDS-X Automatic Packet Reporting System (APRS) Payload Design

Dec 2022 - Dec 2023

  • Developed an APRS payload for a 2U CubeSat to enhance amateur radio communication by enabling APRS digipeating and store-and-forward capabilities.
  • Conducted comprehensive research and feasibility studies on payload components to ensure optimal performance and compliance with CubeSat standards.
  • Authored and submitted detailed technical documentation, including system block diagrams, bills of materials, link budgets, and test reports.
  • Collaborated with cross-functional team members to ensure adherence to safety regulations and interface control documents.
  • Developed and rigorously tested breadboard and engineering models of the payload.
  • Secured an Amateur Radio license to facilitate communication and testing of the APRS payload.

Eshon-Sat

Mar 2022 - Nov 2022

  • Developed and programmed the On-Board Compute (OBC) module for the CubeSat, ensuring efficient processing and reliability.
  • Researched and experimented with various communication protocols and architectures to determine the most suitable options for a 1U CubeSat.
  • Designed and implemented an optimized flash memory firmware to improve storage efficiency and extend memory lifespan.
  • Conducted rigorous testing and validation of the OBC module and communication systems to ensure operational stability.
  • Collaborated with cross-functional teams to integrate the OBC with other satellite subsystems.

Indigenous 2U CubeSat Payload for Onboard Image Classification

Jul 2022 - Oct 2022

  • Designed a microcontroller-based architecture to support embedded deep learning models for a 2U CubeSat.
  • Researched, selected, and integrated a suitable industrial camera system for high-quality image capture and processing.
  • Conducted in-depth analysis of multispectral cameras to evaluate their suitability for machine learning and remote sensing applications.
  • Developed and deployed optimized deep learning models for on-board image classification.
  • Tested and validated the performance of the integrated system in simulated space conditions, ensuring reliability and efficiency.

Multi-Agent Pathfinder for Optimal Path of Multiple Fog Robot

Aug 2023 - Jan 2022

  • Developed algorithms for efficient path generation, collision avoidance, and dynamic obstacle handling
  • Integrated YOLOv8 for object detection and AR tags for robot localization
  • Explored reinforcement learning for adaptive navigation
  • Configured hardware, programmed microcontrollers, and established communication

Skills

Programming Languages

Python, C/C++, Java, R, Bash, PowerShell, R Programming

Web Programming

HTML5, CSS, XML, MySQL, PHP, Jinja, Web Scraping

Other Languages

Mathematica, LaTeX, Assembly, Verilog

Frameworks

PyQt, Processing, PyTorch, Keras, Flask

Libraries

NumPy, Pandas, scikit-learn, Matplotlib, seaborn, TensorFlow, scikit-bio, Folium, Foursquare

Software Tools

Git, Docker, Jupyter, Proteus, Gazebo, Eagle, Altera Quartus, Microwind, emu8086, LTSpice

Programming Applications

ROS, CI/CD, API, Arduino, FreeRTOS, Chocolatey

Linux Distros

Ubuntu, Raspbian, Linux4Tegra

Language Skills and Proficiency

Certificate & Training

Python 3 Programming Specialization

Issued by: Michigan Online, Coursera (2020)

Java Programming and Software Engineering Fundamentals Specialization

Issued by: Duke University, Coursera (2020)

Electronic Systems and PCB Design

Issued by: IEEE AESS, BRAC University SB Chapter (2022)

Mission Oz 2022

Issued by: Space Teams International, USA (2022)

How Sensors are Making Better Urban Environment

Issued by: IEEE Innovation at Work, PDH (2021)

Honors & Awards

16th in University Rover Challenge 2023

Issued by: The Mars Society, Utah, USA

1st in the National Round of KIBO Robot Programming Challenge 2022

Issued by: Japan Aerospace Exploration Agency (JAXA), Tokyo, Japan

9th in International Rover Challenge 2023

Issued by: Space Robotics Society, Bengaluru, India

21st in International Rover Design Challenge 2022

Issued by: Space Robotics Society, Bengaluru, India

Crew Award in the KIBO Robot Programming Challenge 2022

Issued by: Japan Aerospace Exploration Agency (JAXA), Tokyo, Japan

Champion of AUST Rover Challenge 2022

Issued by: AUST Robotics Club, Dhaka, Bangladesh

Dean's List

Associated with: BRAC University, Dhaka, Bangladesh

VC's List

Associated with: BRAC University, Dhaka, Bangladesh

References

Roberto Fratello

Tech Lead, Medical Support/Sa.Ni.Corporate Srl

Email: roberto.fratello2@gmail.com

Phone: +393405317726

Salman Ibne Eunus

Chief Educational Instructor, The AI Educator (Formerly Research Assistant at Genofax)

Email: salmaneunus27@gmail.com

Phone: +8801746208374

Dr. Md. Khalilur Rhaman, PhD

Professor, CSE Department, BRAC University, Dhaka, Bangladesh

Email: khalilur@bracu.ac.bd

Phone: +880-1752-042223

Dr. Md. Golam Rabiul Alam

Professor, Dept. of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh

Email: rabiul.alam@bracu.ac.bd

Tel: +8809617445063

Mobile: +8801797347635