Mollah Md Saif is a Research Assistant in Robotics at the Department of Computer Science and Engineering, BRAC University, an appointment he has held since September 2025. He received his BSc in Computer Science from BRAC University in 2024, where he was placed on the Vice Chancellor's List for academic excellence in seven semesters and on the Dean's List in one.

His research addresses Autonomous Navigation and Machine Perception in Unstructured Environments, with particular attention to road settings where lane markings and traffic signals are absent or are not observed. His work on Autonomous Navigation in Crowded Spaces through Multi-sensory Data Fusion was presented at the 2025 IEEE International Conference on Robotics and Automation (ICRA) in Atlanta, United States. His current project, led by Dr. Md. Khalilur Rhaman, concerns GPS-denied Localization and Terrain-aware Path Planning for Autonomous Ground Robots, together with the construction of a large multi-sensor street dataset of Dhaka on which the methods are developed and evaluated. In parallel, he contributes to a research collaboration with the Samsung R&D Institute Bangladesh on mobile object tracking and scene graph generation for dynamic scene analysis, and he previously developed a job recommendation system based on retrieval augmented generation and vector search under the BRAC Skills Development Programme.

His professional experience spans embedded systems, applied machine learning, and space systems engineering. At Sa.Ni.Corporate Srl in Rome, Italy, he worked as an Embedded Systems and Software engineer on hardware and software for medical baropodometry devices, and at Genofax he served as an Artificial Intelligence Intern, applying deep learning to healthcare data and developing a bioinformatics pipeline for the taxonomic classification of bacteria. At the Laboratory of Space System Engineering and Technology, he designed an on-board image classification payload for a 2U CubeSat and led the design of an APRS payload for the BIRDS-X open-source satellite bus.

He has been a member of BRACU Mongol Tori, the university rover team, since 2021, serving first as a control systems engineer, then as Team lead for the 2022 to 2023 season, and as Technical advisor since July 2024. The team placed 16th at the University Rover Challenge in 2023, the year he led it and operated the rover, and 8th in 2025. At BRAC University he supervises undergraduate thesis students in robotics and perception, and he has taught supplementary programming classes at the BRAC University Computer Club.

Confernce

• Autonomous Navigation in Crowded Spaces Using Multi-Sensory Data Fusion. 2025 IEEE International Conference on Robotics and Automation (ICRA), Atlanta, United States, May 2025. DOI: 10.1109/icra55743.2025.11127865

Academic Appointments

Research Assistant (Robotics) Sep 2025 – Present · Dhaka, Bangladesh

Department of Computer Science and Engineering, BRAC University · Full-time

• Leads research on autonomy and perception for environments that lack conventional road infrastructure, with attention to computer vision models, simulation-to-real validation, and field evaluation.
• Supervises undergraduate thesis students in robotics and perception, from the first framing of a topic through to the defence.
• Works with faculty and laboratory teams on prototypes, benchmarking studies and ablation analyses, and prepares results for publication and field trials.
• Advises BRACU Mongol Tori on technical strategy for international rover competitions.

Research Assistant, Samsung R&D Institute Bangladesh Project Mar 2026 – Present · Dhaka, Bangladesh

BRAC University · Part-time

• Implements and benchmarks mobile object tracking algorithms and designs the evaluation pipelines behind them.
• Curates raw video datasets and writes scripts that generate ground truth for training and evaluation.
• Builds scene graph generation models over video frames to support object-aware and region-aware dynamic FPS allocation.

Research Assistant, BRAC Skills Development Programme Project Sep 2025 – Feb 2026 · Dhaka, Bangladesh

BRAC University · Part-time

• Developed a job recommendation system using retrieval augmented generation, LLMs and vector search to match candidate profiles with job market demand through skill gap analysis.
• Built a CV parsing micro-service for PDF and image-based resumes via OCR, extracting structured candidate data with validation and fault-tolerant API handling.
• Wrote an automated job scraping pipeline across multiple portals, with fuzzy IT filtering and dual-LLM categorization into a standard taxonomy.
• Contributed to a workforce analytics dashboard API covering demand metrics, salary benchmarks and skill gaps across Bangladesh's IT sector.

Industry Experience

Embedded Systems and Software Engineer Jul 2024 – Mar 2025 · Rome, Italy (remote)

Sa.Ni.Corporate Srl

• Developed hardware and software for medical baropodometry devices, with attention to diagnostic precision and the experience of the clinician using them.
• Reverse engineered and rebuilt a C++ medical visualization application, improving its performance and usability.
• Wrote Windows automation tools in PowerShell to remove repetitive installation and setup work.

Artificial Intelligence Intern Jul 2023 – Jan 2024 · Dhaka, Bangladesh

Genofax

• Implemented deep learning models (TensorFlow, Keras, scikit-learn) for healthcare data, including feature engineering and preprocessing for large medical datasets.
• Developed a bioinformatics pipeline for the taxonomic classification and profiling of bacteria.
• Built big data processing pipelines for model training on distributed systems (AWS), and worked on conversational AI with Flask and Jinja.

• 7th place, University Rover Challenge 2026, The Mars Society, Utah, United States (Jun 2026)
• 8th place, University Rover Challenge 2025, The Mars Society, Utah, United States (Jun 2025)
• 16th place, University Rover Challenge 2023, The Mars Society, Utah, United States (Jun 2023)
• 9th place, International Rover Challenge 2023, Space Robotics Society, Bengaluru, India (Jan 2023)
• National Round Champion, KIBO Robot Programming Challenge 2022, JAXA (2022)
• Crew Award, KIBO Robot Programming Challenge 2022, JAXA (Oct 2022)
• Champion, AUST Rover Challenge 2022, AUST Robotics Club, Dhaka (Aug 2022)
• 21st place, International Rover Design Challenge 2022, Space Robotics Society (Dec 2022)
• Vice Chancellor's List for academic excellence, seven semesters, BRAC University
• Dean's List for academic excellence, one semester, BRAC University

• Autonomous navigation and motion planning in unstructured environments
• GPS-denied localization, visual and LiDAR place recognition, and mapping
• Multi-sensor fusion and machine perception, including terrain geometry from depth and LiDAR
• Imitation learning and reinforcement learning for driving in dense, unlane-disciplined traffic
• Dataset construction and annotation for road environments that public datasets do not represent
• Multi-agent and fog robotics systems, and embedded on-device deep learning