Mollah Md Saif

Computer Science Graduate | Embedded Systems | AI/ML | Robotics

Dhaka, Bangladesh mollahmdsaif@gmail.com +880-1920-545913 nekosaif nekosaif

Summary

Computer Science graduate specializing in embedded software engineering for medical devices, with hands‑on experience at Sa.Ni. Corporate Srl designing and implementing cutting‑edge baropodometry solutions. Passionate about elevating diagnostic accuracy through seamless hardware–software integration, I’ve built native Windows automation tools in PowerShell and reverse‑engineered C++ visualization applications to optimize performance and usability. My AI background was honed as an intern at Genofax, where I developed deep learning models for bioinformatics pipelines and architected scalable, cloud‑based data processing workflows. Equally comfortable leading robotics initiatives—having steered multi‑agent pathfinding research and captained a University Rover Challenge team—as I am developing fault‑tolerant CubeSat systems. Proficient in C++, Python, ROS, AI/ML frameworks, and end‑to‑end system automation, I’m eager to bring innovative thinking and technical leadership to complex software engineering challenges.

Education

BRAC University

BS in Computer Science, Dhaka, Bangladesh

Jan 2020 – Sep 2024

CGPA: 3.65/4.0
Research: Robotics, Autonomous System, System Automation, IOT, Space Science
Honors: VC's List for Academic Excellence (7 Semesters), Dean's List for Academic Excellence (1 Semester)

Notre Dame College

High School Diploma, Science, Dhaka, Bangladesh

2017 – 2019

Publications

Autonomous Navigation in Crowded Spaces Using Multi-Sensory Data Fusion

Accepted to: 2025 IEEE International Conference on Robotics & Automation (ICRA) [A* Conference]

Status: To be presented in Atlanta, USA, May 2025

Experience

Embedded Systems and Software Engineer

Sa.Ni.Corporate Srl

Rome, Italy (Remote)

Jul 2024 – Mar 2025

Developed hardware and software solutions for medical baropodometry devices, focusing on improving user experience and advancing diagnostic precision.
Designed native Windows program automation tools (Powershell) to streamline processes and increase efficiency.
Reverse engineered C++ software to reconstruct and optimize a medical visualization application, improving performance and usability.

Artificial Intelligence Intern

Genofax®

Dhaka, Bangladesh

Jul 2023 – Jan 2024

Learned and implemented AI/Deep Learning Models (TensorFlow, Keras, Scikit-Learn) in healthcare systems, including feature engineering and data preprocessing for large-scale medical datasets.
Researched personalized healthcare, focusing on genetics, epigenetics, human nutrition, and microbiome-derived diagnosis.
Developed an AI-enabled bioinformatics pipeline for taxonomic classification and profiling of bacteria.
Designed and implemented big data processing pipelines for training machine learning models on distributed systems (AWS).
Worked with conversational AI and chatbot development (Flask, Jinja).

Student Instructor

BRAC University Computer Club (Part-time)

Dhaka, Bangladesh

Nov 2021 – Apr 2022

Conducted supplementary online classes on fundamental and intermediate programming courses (Python, C++, Java).
Provided assistance to learners by resolving their queries through online learning platforms.

Research Experience

BRACU Mongol Tori (University Rover Team)

Self-employed / University Project Team

Dhaka, Bangladesh

Nov 2021 – Jun 2023

Team Lead (Jul 2022 – Jun 2023)
- Led a multidisciplinary team (~40 members) in designing, building, and competing with a Mars rover simulation.
- Set goals, monitored progress, performed performance evaluations and provided mentoring.
- Represented team in international competitions: University Rover Challenge 2023 (USA) and International Rover Challenge 2023 (India).
- Served as primary rover operator during competition tasks under high-pressure conditions.
Electronic Controls Engineer (Apr 2022 – Aug 2022)
- Designed power systems and PCBs using Autodesk Eagle.
- Implemented an RTK-GPS based mapping system in the rover's WebUI via NTRIP connection.
- Optimized rover control systems using C++, Python, and ROS.
Control Systems Engineer (Feb 2022 – Apr 2022)
- Designed and built ROS-based communication and control system architecture from scratch.
- Implemented inverse kinematics for a 6-DOF robotic arm.
- Built and integrated an autonomous science module.
Contributor (Nov 2021 – Feb 2022)
- Researched and learned rover control systems (Arduino, Raspberry Pi).
- Studied the feasibility of implementing ROS for the Mars rover system.

Research Assistant

Laboratory of Space System Engineering & Technology

Dhaka, Bangladesh

Jul 2022 – Oct 2022

Project: Indigenous 2U CubeSat Payload for Onboard Image Classification

Designed a microcontroller-based architecture for embedded deep learning models on a 2U CubeSat.
Researched, selected, and integrated an industrial camera system for image capture.
Analyzed multispectral cameras for machine learning and remote sensing applications.
Developed and deployed optimized deep learning models for on-board image classification.
Tested and validated the integrated system in simulated space conditions.

Projects

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

Nov 2023 - Mar 2024

Led research, design, and implementation of a cost-effective multi-robot path planning system using Fog Robotics architecture.
Developed algorithms (modified CBS) for efficient path generation, collision avoidance, and dynamic obstacle handling.
Integrated YOLOv8 for real-time object detection and AR tags for precise robot localization using OpenCV.
Explored reinforcement learning (DQN, PPO, MARL) for adaptive and scalable navigation in simulations (ROS, Gazebo).
Configured hardware (ESP32), programmed microcontrollers, and established reliable robot-server communication (REST APIs).
Conducted simulations and real-world experiments, analyzed system performance, and documented findings.

LangChain Chatbot API

nekosaif/langchain-chatbot-api

Jan 2025

Developed a production-ready chatbot backend API using Python, FastAPI, LangChain, and OpenAI GPT models.
Implemented custom FAQ training functionality, supporting PDF, TXT, and CSV document loading and embedding.
Utilized FAISS for efficient vector similarity search to retrieve relevant FAQ answers.
Containerized the application using Docker for easy deployment and scalability.
Configured for deployment on cloud platforms like Render, including health check endpoints.

FAQ Chatbot Frontend with Flask

nekosaif/flask-chatbot-demo

Feb 2025

Created a lightweight, responsive web frontend for an FAQ chatbot using Flask and Python.
Styled the user interface using Tailwind CSS loaded via CDN, eliminating the need for Node.js/build steps.
Implemented a real-time chat interface to interact with a backend chatbot API.
Included configuration for backend API URL and deployment settings (e.g., Heroku).

Automated Installation Scripting

nekosaif/patient_entry_setup

Jul 2024 - Sep 2024

Developed an automated installer for complex "PatientEntry" medical software with numerous dependencies.
Authored PowerShell scripts for silent installation of the main application and prerequisites.
Integrated pre-execution tasks (SQL backup cleaning) and program startup routines using converted Batch-to-EXE files.
Packaged all components into a user-friendly WinRAR Self-Extracting (SFX) archive.
Configured the SFX archive for automated script execution upon extraction to the temp directory.
Provided localized installation packages (English/Italian).

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

Dec 2022 - Dec 2023

Affiliation: Laboratory of Space System Engineering & Technology, Dhaka, Bangladesh

Led design and development of an APRS payload for a 2U CubeSat (BIRDS Open-Source Bus).
Conducted research and feasibility studies on payload components for CubeSat standards.
Authored technical documentation (block diagrams, BoM, link budgets, test reports).
Collaborated with team members adhering to safety regulations and interface control documents.
Developed and tested breadboard and engineering models.
Secured Amateur Radio license for testing and operations.

Eshon-Sat (1U CubeSat Training Kit)

Mar 2022 - Nov 2022

Affiliation: Laboratory of Space System Engineering & Technology, Dhaka, Bangladesh

Developed and programmed the On-Board Compute (OBC) module (C/C++) ensuring efficiency and reliability for a 1U CubeSat Training Kit.
Researched and experimented with various communication protocols and architectures suitable for CubeSats.
Designed and implemented optimized flash memory firmware to improve storage efficiency and lifespan.
Conducted rigorous testing and validation of OBC and communication systems.

Skills

Programming Languages

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

AI / Machine Learning / Data Science

TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, OpenCV, NLP, Computer Vision, Deep Learning, Reinforcement Learning, Data Preprocessing, Feature Engineering, Bioinformatics Pipelines, Predictive Analytics

Embedded Systems / Robotics

ROS (Robot Operating System), Arduino, Raspberry Pi, ESP32, FreeRTOS, Embedded C/C++, Control Systems Design & Optimization, Inverse Kinematics, Path Planning (CBS), Multi-Agent Systems, Robot Simulation (Gazebo), Sensor Integration, RTK-GPS, Fog Computing

Hardware / Electronics

PCB Design (Autodesk Eagle, Proteus), Circuit Design & Debugging, Power Electronics, Digital Circuits, LTSpice, Satellite Systems (CubeSat), APRS, Satellite Communications

Web Development

HTML5, CSS, JavaScript, PHP, Flask, Jinja, REST APIs, MySQL, Web Scraping

Software Development & Tools

Git, Docker, CI/CD, Windows Automation, Reverse Engineering, GUI Development (PyQt), Jupyter Notebooks, Linux (Ubuntu, Raspbian), AWS, Agile Methodologies

Other Tools & Languages

LaTeX, Mathematica, Assembly, Verilog, Altera Quartus, Microwind, emu8086, Foursquare API, Microsoft Office Suite

Professional Skills

Team Leadership, Communication, Critical Thinking, Problem-Solving, Performance Evaluation & Feedback, Project Management, Technical Documentation, Research, Feasibility Studies

Language Skills

English: Professional proficiency
Bangla: Native or bilingual proficiency

Certificates & Training

IBM Data Science Professional Certificate

Issued by: IBM, Coursera (2025)

Electronics System and PCB Design

Issued by: IEEE Aerospace & Electronic Systems Society (Sep 2022)

Mission Oz 2022 Participant

Issued by: Space Teams Academy (Dec 2022)

Python 3 Programming Specialization

Issued by: University of Michigan, Coursera (2020)

Java Programming and Software Engineering Fundamentals Specialization

Issued by: Duke University, Coursera (2020)

How Sensors are Making Better Urban Environment

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

Honors & Awards

16th Place, University Rover Challenge 2023

Issued by: The Mars Society, Utah, USA (Jun 2023)

National Round Champion, KIBO Robot Programming Challenge 2022

Issued by: Japan Aerospace Exploration Agency (JAXA), Tokyo, Japan (Apr 2023)

9th Place, International Rover Challenge 2023

Issued by: Space Robotics Society, Bengaluru, India (Jan 2023)

21st Place, International Rover Design Challenge 2022

Issued by: Space Robotics Society (Dec 2022)

Crew Award, KIBO Robot Programming Challenge 2022

Issued by: Japan Aerospace Exploration Agency (JAXA) (Oct 2022)

Champion, AUST Rover Challenge 2022

Issued by: AUST Robotics Club, Dhaka, Bangladesh (Aug 2022)

Volunteering

Volunteer

BRAC Hope Festival (BRAC University)

Dhaka, Bangladesh

Feb 2023

Organized and managed activities, ensuring smooth event operations.
Showcased robotics projects (BRACU Mongol Tori), providing demonstrations to attendees.
Represented the university, fostering interest in STEM and robotics.
Collaborated with team members to create a vibrant educational experience.