Machine Learning Systems Engineer specializing in high-throughput document extraction pipelines, deterministic freight reconciliation services, and decoupled enterprise ERP/TMS integration for European logistics and global supply chain networks. Engineering production-grade pipelines bridging legacy transport infrastructure with autonomous multimodal computer vision and real-time customs compliance engines.

• Core Competencies: Multimodal document intelligence, deterministic mathematical validation, low-latency microservice architectures, and zero-disruption enterprise database staging.
• Production Runtimes: Containerized FastAPI services, C# / .NET 8 client runtimes, NVIDIA TensorRT, ONNX Runtime, and Microsoft SQL Server 2022 staging buffers.
• Statutory Status for Germany: Anabin-verified 5-year Integrated Master's / M.Tech in Computer Science & AI (H+ / Consecutive Master Equivalence), fully qualifying for the EU Blue Card (§ 18g AufenthG) and the Accelerated Fast-Track Skilled Worker Procedure (§ 81a AufenthG) with zero HR friction.

Repository Description:
Automated shipping document ingestion and customs compliance validation gateway for Red Line Spedition and mw1group.

• Live Interactive Application: https://redline-gateway.onrender.com
• Target Environment: mw1group / Red Line Intern. Spedition GmbH · C# / ASP.NET · Microsoft SQL Server 2022
• Architecture: Decoupled dual-engine architecture combining multimodal vision parsing with strict deterministic mathematical rules for international maritime, air, and road freight documentation.

• Automated 3-Way Dossier Reconciliation: Sub-2-second cross-audit across the core freight triad (Ocean Bill of Lading, Commercial Invoice, and Packing List), matching container identifiers, declared gross/net weights, packages, customs values, and Incoterms.
• Deterministic Business Rule Engine: Algorithmic verification of ISO 6346 Modulo-11 container check digits (preventing terminal gate-in rejections), Tara weight variance checks against the German 50 kg tolerance threshold, and automatic Demurrage & Detention risk calculations (€150–€350/day per container).
• Statutory ADSp 2017 Claim Generation: Instantly compiles a legally formatted Speditions-Reklamationsmemo preserving carrier recourse rights under § 412 HGB within strict pre-arrival deadlines.
• Decoupled MS-SQL Staging Pattern: Eliminates schema migration risk on production ERP databases by streaming validated, ANSI-escaped records directly into isolated staging tables ([dbo].[myscm_Staging_Shipments] & [dbo].[myscm_Reconciliation_Ledger]).
• Enterprise .NET 8 / C# Client Library: Production-grade RedLineGatewayClient.cs providing async, zero-copy HttpClient streaming for immediate drop-in integration into existing C# / ASP.NET dispatch backends.
• GoBD & German Compliance Governance: Cryptographic SHA-256 hash chaining on all ingested records ensuring an immutable, tamper-evident audit trail satisfying German tax & trade regulations (§§ 146, 147 AO / GoBD), with 100% German/EU data sovereignty (Frankfurt am Main) and zero model retention.
• Stack: Python 3.11, FastAPI, Google GenAI Multimodal Vision, Microsoft SQL Server (T-SQL), C# / .NET 8, Docker, Tailwind CSS, Render (Frankfurt EU-Central).

 ┌────────────────────────────────────────────────────────────────────────────────────────┐
 │                      ENTERPRISE FREIGHT DOMAIN COMPETENCIES                            │
 ├─────────────────────────┬──────────────────────────────────────────────────────────────┤
 │ Freight Modalities      │ Ocean (FCL/LCL, Master/House B/L) · Air (IATA AWB) · Road CMR│
 │ Customs & Regulation    │ German ATLAS 9.1 IT Procedures · HS / Zolltarif · ISO 4217  │
 │ Trade & Legal Rules     │ ICC Incoterms 2020 (CIF, FOB, DAP, DDP) · ADSp 2017 · § 412  │
 │ Compliance & Auditing   │ GoBD (§§ 146, 147 AO) SHA-256 Hash Ledgers · GDPR / DSGVO   │
 │ Target Integration      │ myscm · SAP TM · CargoWise · MS-SQL 2022 · WinSped · AS/400  │
 └─────────────────────────┴──────────────────────────────────────────────────────────────┘

 ┌────────────────────────────────────────────────────────────────────────────────────────┐
 │                              PRODUCTION SYSTEMS STACK                                  │
 ├─────────────────────────┬──────────────────────────────────────────────────────────────┤
 │ Multimodal Vision & ML  │ Google GenAI Vision · PyTorch · Hugging Face · OpenCV · PyPDF│
 │ Backend & Serving       │ FastAPI · Python 3.11 · C# / .NET 8 · Docker · Redis · Celery│
 │ Databases & Staging     │ Microsoft SQL Server 2022 (T-SQL) · PostgreSQL · SQLite      │
 │ Enterprise Protocols    │ RESTful APIs · Webhooks · Multipart Streaming · JSON Schema  │
 │ Runtime & Acceleration  │ NVIDIA TensorRT · ONNX Runtime · Triton Inference Server     │
 │ Cloud & DevOps          │ Render (Frankfurt EU-Central) · AWS (S3, Lambda) · GitHub CI │
 └─────────────────────────┴──────────────────────────────────────────────────────────────┘

• Academic Degree: 5-Year Integrated Master of Technology (M.Tech) in Computer Science & Engineering (Specialization: Artificial Intelligence & Machine Learning).
• Anabin Database Status: Institution rated H+ (highest institutional recognition level in Germany); degree rated Entspricht / Gleichwertig to a German University Master's degree.
• Visa Eligibility: Directly qualifies for the EU Blue Card (§ 18g AufenthG) under the STEM / IT specialist shortage category, as well as the Fast-Track Skilled Worker Procedure (§ 81a AufenthG).
• Pre-Cleared Dossier: Complete bureaucratic package (Der Behörden-Ordner) including verified transcripts, Anabin equivalency printouts, pre-filled § 81a application forms, and fee waiver declarations assembled for friction-free employer onboarding.