Backend Developer with 2+ years of experience building and supporting enterprise systems across ERP, logistics, document processing, approval workflows, reporting, and external integrations.
I focus on backend systems where APIs are clear, data remains consistent, permissions are predictable, and workflows are reliable in production. My primary experience is with Node.js and TypeScript, with hands-on work using C#, ASP.NET Core/.NET 8, Entity Framework Core, SQL Server, PostgreSQL, Redis, Docker, and GitLab CI/CD.
- 🔭 End-to-end delivery: requirements, technical design, APIs, databases, testing, deployment, and production support
- 🧩 Reusable backend architecture, code generation, engineering conventions, and OpenAPI documentation
- ⚙️ Background jobs, webhooks, retry, idempotency, structured logging, health checks, and failure recovery
- 🤖 Practical AI integration with Gmail ingestion, OCR/LLM extraction, human validation, and traceable processing
- 🤝 Code review, technical documentation, cross-team delivery, and developer onboarding
| Engineering impact | Delivery impact |
|---|---|
| 10+ projects adopted a reusable backend foundation and code-generation approach | 30+ repositories supported through shared staging, CI/CD, release verification, and incident investigation |
| ~50 real users used an AI-assisted logistics and document-processing platform | 30+ interns and junior developers supported through code review, debugging, documentation, and onboarding |
APIs & Architecture: RESTful APIs, OpenAPI/Swagger, JWT, RBAC, Clean Architecture, modular monoliths, background jobs, webhooks
Data & Reliability: SQL Server, PostgreSQL, MongoDB, Redis, transactions, indexing, retry, idempotency, validation, data integrity
Delivery & Operations: Docker, GitLab CI/CD, Linux, Nginx, structured logging, health checks, release verification, incident analysis
Built a reusable Node.js/TypeScript backend foundation and generators for API modules, models, routes, validators, and OpenAPI documentation. The approach reduced repetitive setup and improved consistency across 10+ internal and client projects.
Developed backend APIs for Gmail ingestion, OCR/LLM extraction, human validation, and file management. Designed BullMQ/Redis workflows with retries, idempotency, execution tracking, structured logging, health checks, and failure recovery for approximately 50 users.
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ASP.NET Core · Entity Framework Core · SQL Server · React Role-based system for activity registration, approval, attendance, evidence tracking, and social-work-day calculation. |
Node.js · .NET · SQL · APIs · Testing · Deployment A structured backend learning roadmap with practical challenges, implementation guidance, and engineering fundamentals. |
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Python · RDF/OWL · SPARQL · SHACL · FAISS · Streamlit Ontology-enhanced RAG for university admissions with structured retrieval, grounded responses, and retrieval evaluation. |
Python · SBERT · Semantic Search · Neurosymbolic AI A semantic question-answering experiment combining domain glossaries, embeddings, and soft homomorphism matching. |
- Deepening C# and ASP.NET Core backend engineering
- Designing maintainable APIs and transaction-safe data workflows
- Improving observability, deployment, and production troubleshooting
- Building AI-assisted features with validation, traceability, and fallback paths
- Turning repeated engineering work into reusable, documented foundations
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Clear APIs. Reliable workflows. Maintainable systems.