Senior Software Engineer - FinTech, AI-Driven Platforms

Mohamed Hasan

Senior software developer

Dhaka, Bangladesh +880**********

***.******@*****.***

github.com/Dev-Mohamed-Hasan

linkedin.com/in/md-momrul-hasan-2a7660292

With a Master's degree and a focus on the financial sector, I build and architect the kind of secure, AI-driven platforms where performance and compliance can't be an afterthought. My work also involves creating specialized monitoring systems for air-gapped environments, using technologies like eBPF and Tetragon to deliver visibility where standard cloud tools can't reach. A key part of my process is building compliance and robust data handling directly into the system's foundation, ensuring security is integral, not just a feature. Senior Software Engineer

Brain Station 23, Dhaka, Bangladesh May 2022 - January 2025 Senior Software Developer specializing in financial technology, architecting AI-enhanced web platforms with stringent security and compliance frameworks.

Senior Software Development Engineer

TigerIT Bangladesh Ltd., Dhaka, Bangladesh August 2020 - March 2022 Architected and developed a security-focused monitoring agent leveraging eBPF and Tetragon technology for complete air-gapped environment operation.

Master in Computer Science January 2015 - January 2020 Dhaka International University at Dhaka

Focused on advanced Machine Learning models and scalable system architecture. My master's thesis involved developing an eBPF-based security monitoring agent for air-gapped environments, combining kernel-level programming with AI-driven anomaly detection. The research honed my expertise in Go, Python, and low-level system design for high-security applications.

Engineered polyglot systems leveraging PHP/Laravel for scalable backends and Java for high-performance transactional services.

Implemented machine learning models for real-time anomaly detection and market trend analysis, delivering actionable insights through dynamic TypeScript interfaces. Embedded regulatory technology automating KYC/AML compliance while ensuring adherence to GDPR and SOX standards across data analytics pipelines. Engineered end-to-end backend workflows spanning API Gateway, SaaS APIs, and multi-database persistence layers to support critical observability requirements. Integrated diverse database technologies including Neo4j for graph data, InfluxDB for time-series metrics, and MongoDB/PostgreSQL for structured data storage. Deployed and validated the monitoring platform across both Amazon EKS production environments and local Minikube development clusters.

Delivered enterprise-grade observability solutions for organizations where cloud-based monitoring tools were not viable options.

Professional Experience

Education

Kernel-level Programming - Linux Kernel, eBPF

High-performance Systems - Communication systems, real-time pipelines Financial Technology - Transaction systems, compliance System Architecture - OS architecture, microservices Graph Databases - Neo4j for relationship data

Time-series Databases - InfluxDB for monitoring metrics Document Databases - MongoDB for flexible data structures Relational Databases - PostgreSQL for transactional data eBPF/Tetragon - Kernel-level security monitoring

Air-gapped Environment Security

Regulatory Technology (RegTech)

KYC (Know Your Customer) Automation

AML (Anti-Money Laundering) Compliance

GDPR & SOX Compliance Standards

Data Protection & Privacy

English - Proficient

Chinese - Proficient

Bengali - Expert

Go - eBPF/Tetragon development, system monitoring agents, kernel-level programming C/C++ - Linux Kernel, OS architecture and high-performance communication systems Java - Spring Boot, Kotlin to build robust microservices, real-time data pipelines, and complex transaction systems

Python - Machine learning, data analytics, AI model implementation JavaScript/TypeScript - Frontend interfaces, real-time dashboards, data visualizations SQL - Database design, optimization, and complex queries Languages

Programming Languages

Specialized Domains

Databases & Data Storage

Security & Compliance

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Supervised Learning Algorithms

Anomaly Detection Systems

Time-series Forecasting Models

Real-time AI Integration

Business Intelligence (BI)

SystemsPredictive Analytics

Data Analytics Pipelines

Kubernetes - Amazon EKS, Minikube deployment and management Docker - Containerization and microservices architecture AWS - Cloud infrastructure and services

CI/CD Pipelines - Automated deployment and testing System Monitoring - Performance optimization and production monitoring AI/ML & Data Analytics

Cloud & DevOps

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