Deploying Production AI & Enterprise Systems.
Hello! I am Md Masruf Rahman — Forward Deployed Engineer & Applied AI Specialist. I operate directly on the frontlines of complex organizational challenges, engineering mission-critical cloud software, distributed automation pipelines, and applied machine learning models deployed directly into high-stakes operational environments.
Engineering from the Frontlines to Production
I build forward deployed solutions.
Embedding directly into client and institutional workflows to eliminate operational friction and architect mission-critical systems.
Software & Technical Projects
Production architectures, AI healthcare systems, embedded IoT telemetry, and 3D algorithmic physics.
Peer-Reviewed Publications & Research
Pioneering leakage-safe intrusion detection pipelines, explainable AI architectures, flood risk telemetry, and spatiotemporal graph neural networks.
Balanced-Augmented KDD IDS: Robust Classification with Explainable AI and Leakage-Safe Pipelines
Authors: Md Masruf Rahman, Mahbuba Islam Mim, Sudipto Ghosh, Humayan Kabir Rupok
Presents a leakage-safe cyber intrusion detection system pipeline using balanced data augmentation and explainable AI (SHAP/LIME) on network intrusion benchmarks, demonstrating superior multi-attack classification accuracy and interpretability.
A Comparative Analysis of Classification Algorithms for Loan Eligibility on Imbalanced Data
Authors: Abrin Azad Era, Sudipto Chaki, Md Masruf Rahman, Md. Saifur Rahman, A B M Shawkat Ali
An extensive comparative investigation into algorithmic fairness, class imbalance mitigation, and predictive precision for automated credit and loan assessment frameworks.
AI-Driven Transboundary Stacking Framework for Flash Flood Risk Prediction in the Sylhet Basin, Bangladesh
Authors: Abu Sayed Shommo, Sadia Rahman, Masruf Rahman, Md. Ashiqur Rahman
Proposes an AI-driven transboundary stacking ensemble framework for flash flood risk prediction in the Sylhet Basin, Bangladesh, integrating hydro-meteorological indicators and multi-model stacking to deliver robust early warning telemetry.
Graph-Based Clustering and Explainable Graph Neural Networks for Crime Hotspot Prediction in Bangladesh (2020-2025)
Authors: Mahbuba Islam Mim, Masruf Rahman, Ebne Saif, Md. Samsuzzaman Sumon, Md. Ashiqur Rahman
Spatiotemporal crime pattern modeling combining spatial graph clustering algorithms with Explainable Graph Neural Networks (GNNs) across metropolitan districts in Bangladesh over a 5-year longitudinal window (2020–2025).
Personalized Thyroid Disorder Diagnosis System through Adaptive Expert Routing and Intelligent Selection
Authors: Masruf Rahman, Mahbuba Islam Mim, Muhammad Aminur Rahaman, Md. Ahsan Habib
Personalized clinical decision support architecture for thyroid pathology classification utilizing adaptive mixture-of-experts routing and dynamic feature selection pipelines for tailored patient diagnosis.
Explainable Machine Learning Framework for Cybersecurity Awareness Prediction and Behavioral Pattern Mining Using Survey Data
Authors: Masruf Rahman, Sadat Shifat, Al Kayes Moon, M A Hasan Kongkon, Abdullah Al Masfi, Mahbuba Islam Mim, Md. Humayan Kabir Rupok
An Explainable Machine Learning framework examining organizational cybersecurity awareness, predicting vulnerability profiles, and mining behavioral risk patterns from empirical survey telemetry using post-hoc interpretability models.
Forward Deployed Engineering & Mission-Critical Systems
Architecting frontline enterprise software, automated document engines, and applied AI systems.
Academic & Professional References
I am a Forward Deployed Engineer (FDE) and AI Specialist currently pursuing my M.Sc. in Computer Science & Engineering at Bangladesh University of Business and Technology (BUBT). My focus is engineering, deploying, and scaling mission-critical software solutions on the frontline where organizations face operational bottlenecks.
As the Lead Developer & AI Architect of the BUBT TAFE Enterprise CRM System, I engineered the institution's digital management backbone: building automated PDF monetary receipt dispatching, role-based workforce governance, Bengali localization, and AI growth forecasting models.
Having served as the President of the AI Community at BUBT (concluding my executive tenure in July 2026), I directed hands-on technical workshops and collaborative hackathons for over 1,000 student engineers. My applied machine learning and systems research across 6+ IEEE conference publications and submissions underpins the mathematical rigor, leakage-free pipelines, and Explainable AI (SHAP) architectures I operationalize in production environments.
Forward Deployed Systems
BUBT TAFE CRM, multi-tenant workflows, automated PDF dispatch, and institutional governance.
Applied AI & XAI
Operationalizing SHAP interpretability, intrusion detection pipelines, and predictive models.
IoT & Automation
NodeMCU ESP8266 microcontrollers, telemetry sensor arrays, and remote hardware actuators.
Technical Skillset & Stack
Verified competencies across machine learning, software systems, algorithms, and automation engineering.
Python
C / C++
HTML & CSS
TailwindCSS
Django
Flutter & Dart
Explainable AI (XAI)
Graph Neural Networks
Classification Algorithms
Generative AI
ChatGPT Prompting
Intrusion Detection Systems
Python Automation
Data Leakage Prevention
Technical Documentation
Microsoft Office
Community Leadership
Critical Thinking
Engineering Milestones
Chronological track record of forward deployed operations, institutional architectures, community leadership, and computer science scholarship.
Assistant
Promoted to Assistant at BUBT TAFE. Managing core institutional operations, digital academic administration, student enrollment coordination, and departmental workflow governance.
- Promoted to Assistant in February 2026 following successful documentation performance
- Overseeing digital administration, institutional coordination, and academic operations
- Coordinating student registration and administrative record verification pipelines
Digital Content Creator & Video Producer
Directing, filming, and editing high-engagement culinary travel documentaries and cinematic visual stories on YouTube (@streetfoodverse).
- Produced cinematic video stories utilizing Adobe Premiere Pro and color grading
- Cultivated an engaged audience through authentic documentary-style storytelling
MSc in Computer Science & Engineering
Advanced graduate research and study specializing in Distributed Systems, Applied Machine Learning, and Enterprise Software Architecture.
- Specialization: Computer Science & Engineering
President
Led the premier artificial intelligence student organization at BUBT through July 2026, driving technical workshops, hackathons, and research mentorship cohorts.
- Mentored undergraduate researchers in machine learning pipelines and paper writing
- Concluded successful executive tenure in July 2026, empowering 1,000+ student engineers across technical bootcamps
Documentation Assistant
Responsible for systematic academic documentation, technical record keeping, curriculum materials management, and institutional reporting.
- Standardized digital archives and automated department documentation workflows
- Collaborated directly with faculty directors on accreditation reporting
BSc in Computer Science & Engineering
Focus on Enterprise Software Architecture, Artificial Intelligence, Machine Learning, and Cybersecurity Systems. Active student leader as President of AI Community BUBT.
- Specialization: Computer Science & Engineering
Communication Coordinator
Spearheaded organizational outreach, partner relations, workshop event management, and internal member communications.
- Managed event logistics for technical workshops reaching over 500 students
- Streamlined digital communications and engagement channels
Admin Officer
Managed institutional administrative operations, student records, documentation, and inter-departmental logistics.
- Oversaw candidate admission workflows and systematic office operations
Assistant Branch Manager (Trainee)
Assisted branch operational management, candidate counseling, educational batch scheduling, and administrative reporting.
- Coordinated student counseling sessions and batch timetables
Higher Secondary School Certificate (HSC)
Science division under Dhaka Education Board.
- Specialization: Science
Technology solves problems.
Research discovers possibilities.
Creativity gives ideas a voice.
Let's Build Something Impactful.
Whether you are exploring an AI research collaboration, full-stack software development, machine learning pipelines, or university initiatives, feel free to reach out.
Send a Direct Message
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