Abul Hasan
"Full Stack Software Engineer specialising in AI-powered, cloud-native systems on .NET 8, React, and Microsoft Azure. Built production GenAI pipelines achieving a 70% improvement in duplicate detection and 90% reduction in manual KYC validation. Delivering enterprise solutions at Deloitte scale, distributed systems, event-driven architecture, and secure multi-tenant APIs at 100+ req/sec."
About Me
"Full Stack Software Engineer with 3 years of experience delivering AI-powered, cloud-native enterprise systems on .NET 8, ASP.NET Core, React, and Microsoft Azure. Built production GenAI pipelines using Azure OpenAI and Azure AI Search, achieving a 70% improvement in duplicate detection accuracy and a 90% reduction in manual KYC validation effort. Experienced in distributed systems, event-driven architecture (CQRS, MediatR, Azure Service Bus), and secure multi-tenant API platforms supporting 100+ req/sec and 120 GB+ datasets. Delivered across Deloitte-scale enterprise engagements and fast-paced product environments."
Core Mission
To write clean, highly maintainable, and production-ready backend code alongside scalable enterprise architectures that clear complex operational blocks, optimization parameters, and maintain strict data privacy.
Core Vision
To consistently engineer robust cloud systems and AI-driven workflow solutions that maximize project efficiency, support enormous user bases smoothly, and define modern enterprise tech development standards.
Professional Experience
Analyst — Deloitte
- > Architected an enterprise Master Data Management platform on .NET 8, ASP.NET Core, React, and Azure SQL using CQRS and MediatR to managing 100K+ records across multiple business domains.
- > Built an AI-powered duplicate detection pipeline using Azure AI Search and semantic embeddings, improving record identification accuracy by 70% and directly reducing downstream data quality incidents.
- > Developed OCR-based KYC automation workflows using Azure Document Intelligence and Azure OpenAI, cutting manual validation effort by 90%.
- > Reduced average query latency by 40% across a 120 GB+ Azure SQL database by redesigning schema normalisation, implementing composite indexing, and conducting execution-plan-driven query optimisation.
AI Search + Semantic Embeddings
KYC Automation · Azure OpenAI
Software Engineer L1 — Codinova Technologies
- > Engineered TOTP-based multi-factor authentication integrated with Microsoft Authenticator for enterprise applications serving 100K+ daily users.
- > Achieved GDPR compliance for PII data across 20+ tables by implementing dynamic data masking in PostgreSQL and enforcing field-level encryption on Azure-hosted database services.
- > Executed a cross-region Azure Disaster Recovery drill — migrated 15+ production services including Function Apps, Storage, databases, and Key Vault to a secondary region within 8 hours, achieving 100% recovery success.
- > Automated CI/CD pipelines using Azure DevOps, reducing deployment effort by 60%, and built production observability using Azure Log Analytics to proactively detect 5xx errors and service health anomalies.
Azure DevOps CI/CD
15+ Services · 8 Hours
Junior Software Engineer — RSG IT Solutions
- > Delivered 10+ full-stack enterprise applications using ASP.NET Core, React, SQL Server, and Entity Framework Core by owning development from data model design through to production deployment.
- > Reduced average API response time by 35% across 10+ applications by applying composite indexing, execution-plan-driven query tuning, and targeted SQL Server refactoring.
- > Designed and shipped 100+ secure RESTful APIs enforcing JWT authentication, RBAC authorisation, input validation middleware, and global exception handling — integrated with 5+ third-party services.
Indexing · Query Tuning
JWT · RBAC · ASP.NET Core
Education
Bachelor of Technology
Computer Science and Engineering
Apollo Institute of Technology • 2020 - 2023
- > Coursework in Data Structures, Algorithms, Operating Systems, and Database Management Systems.
- > Secured a solid performance score evaluation of 7.27 CGPA.
Diploma in Engineering
Computer Science and Engineering
Government Polytechnic, Bijnor • 2017 - 2020
- > Coursework in C Programming, Data Structures, Computer Networks, and Web Fundamentals.
- > Maintained an aggregate score metric of 73%.
Featured Projects
Duplicate Record Detector
A full-stack data quality platform that detects duplicate customer and business records from CSV datasets using multiple fuzzy matching algorithms. Combines Levenshtein Distance, Jaro-Winkler, and Token Sort Ratio scoring to identify near-duplicates, reduce manual review effort, and improve data quality.
Local RAG Document Q&A
A complete Retrieval-Augmented Generation (RAG) application that enables users to upload documents and ask questions in natural language. Implements document chunking, embeddings, vector similarity search, and real-time answer generation using Ollama, delivering cited responses entirely on local infrastructure without cloud dependencies.
Technical Skills
[ ENGINE_CORE_ARCHITECTURE ]
[ CLOUD_INFRASTRUCTURE ]
[ STRUCTURED_DATASETS ]
[ SECURITY_LAYER ]
Certifications
Achievements & Impact
Star of the Month — Codinova Technologies
Awarded in January 2025 for outstanding contributions, ownership, and measurable impact across client deliverables and engineering initiatives.
Hacktoberfest Open Source Contributor
Contributed 10+ accepted pull requests during Hacktoberfest, with technical articles published on GeeksforGeeks covering software engineering and problem-solving concepts.
Connect Protocol
[ DIRECT_ROUTING_NODES ]
Establish dynamic point-to-point communication through traditional system endpoints.