Md Mahfuzul Islam
Consultant Data Engineer at Enact Business Solutions and Applied AI Engineer at AZM Labs, with an EEE foundation across data systems, AI workflows, and platform delivery.
Current verified roles
Consultant Data Engineer at Enact Business Solutions for ICT consultancy and healthcare data systems.
Applied AI Engineer at AZM Labs, building applied AI workflows and delivery-ready platform systems.
Healthcare data systems work includes 70k+ patient records and 1M+ lab entries validated across private delivery contexts.
Published survival-analysis research at ICECET 2023.
Professional narrative
I work as a Consultant Data Engineer at Enact Business Solutions, focused on ICT consultancy, healthcare data systems, validation, and reporting-ready delivery.
I also work as an Applied AI Engineer at AZM Labs, building applied AI workflows, secure platforms, CMS systems, and delivery-ready technical products.
My EEE background supports work across clinical data, AI/RAG systems, simulation, signal processing, control systems, and technical advisory.
Private healthcare work is presented at architecture and delivery level only; sensitive records and client data are excluded.
Role lanes
Data Engineering Delivery
Builds data structure, quality, integration, reporting, and database workflows so technical decisions are clear before implementation.
Applied AI Engineer
Builds retrieval, automation, evaluation, and domain-specific AI workflows that are designed for actual team use.
Technical Systems Advisor
Supports domain, hosting, business email, procurement, vendor choices, and solution presentation for practical business execution.
Professional focus
Data Engineering
Python-based data structure, database management, validation, integration, ETL, and reporting-ready workflows.
Applied AI Engineering
Retrieval, automation, evaluation, and domain-specific AI systems designed for real operational use.
IT Systems Advisory
Domain, hosting, business email, procurement, vendor, and platform choices explained clearly for business decisions.
Technical Solution Presentation
Structured technical idea presentation and recommendation support for doctors, CEOs, companies, and implementation teams.
Selected achievements and milestones
OIC partial scholarship recipient for academic excellence at IUT.
Champion, 10th Mathematical Olympiad (Higher Secondary Group, Dinajpur).
Conference publication at ICECET 2023.
Director of Operations, Esonance 2023 (major university tech festival).
IELTS overall band score: 7.5 (CEFR C1).
Technical foundations
Data Engineering
Python
Pandas
NumPySciPyOpenPyXLETL WorkflowsData CleaningData ValidationMissing-Value HandlingDuplicate and Outlier ChecksDate/Time StandardizationReporting-Ready DataAI Engineering
RAG PipelinesLLM Workflows
Llama / OllamaPyTorchTensorFlow
Scikit-learnEvaluation StrategyAutomation WorkflowsSurvival AnalysisModel Validation
Llama / OllamaPyTorchTensorFlowScikit-learnEvaluation StrategyAutomation WorkflowsSurvival AnalysisModel ValidationPlatform and Systems
Next.jsReact
TypeScript
FlaskCMS WorkflowsDatabase ManagementDomain and Hosting SetupBusiness Email SetupTechnical Option ComparisonProcurement SupportEngineering and Simulation
MATLAB
Simulink
C/C++Control SystemsSignal ProcessingPower SystemsBiomedical Signal ProcessingSimulation AnalysisWorking philosophy
Start with the business or clinical decision before choosing the tool.
Make technical options understandable enough for leaders to act on.
Prefer traceable data, maintainable databases, and clear operating workflows over short-term fixes.
Keep applied AI tied to measurable use cases, quality checks, and responsible handoff.
Recent roles and transitions
Consultant Data Engineer
Enact Business Solutions
Providing ICT consultancy for healthcare data systems, validation workflows, and reporting-ready delivery.
Research Engineer (AI & Data Science)
AIMS Lab, IRIIC, United International University
Contributed to Jotno.AI and Susastho.AI across NLP-driven screening and healthcare guidance workflows.
Co-Founder & CEO, AZM Labs
AZM Labs
Driving technical strategy and execution for practical AI and data-centric software systems.
Applied AI Engineer, AZM Labs
AZM Labs
Built secure, admin-managed web platforms with role-based workflows and validated content pipelines.