Hi, I'm Egemen, building & testing ideas that ship at Express speed.
R&D Specialist at DHL Express. AI training delivered to 200+ people · predictive ML systems running in production logistics.
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Shipping status
Selected Projects
Address Error Detection
Predictive ML framework that catches address errors before shipment, improving last-mile delivery success rates and reducing manual handling.
Destination Facility Prediction
Deep learning framework for predicting the correct destination facility for inbound shipments, reducing misrouting and handling costs.
MCP Customs Portal
Hybrid RAG + LLM + MCP system for DHL Express Turkey customs operations, resolving unstructured regulatory queries (legislation PDFs) and structured EVRIM/BILGE data via natural language. Incorporates sentiment analysis, topic modeling, and hybrid keyword-semantic retrieval; targeting 90%+ intent classification accuracy, Recall@5 above 85%, and sub-5-second latency, with autonomous handling of 30% of routine call center queries. Patent application filed for the secure RAG + MCP integration component.
Freight Documentation Automation
Automated end-to-end generation of Freight Non-Existence Letters across 150-200 daily inbound shipment requests, cutting per-request processing time from 1.5 minutes to under 15 seconds via a Snowflake → Dataiku → MSSQL → IIS pipeline with full audit logging, freeing 0.5 FTE and extending availability from business hours to 7/24.
EV Charging Station Optimization
Formulated a binary integer linear program for EV fleet allocation across DHL Express Turkey's 3 Istanbul distribution centers, jointly optimizing customer-to-depot and vehicle-to-depot assignment to minimize demand-weighted total distance under capacity constraints. Solved via PuLP/CBC.
ARGUS — ITSM Intelligence Platform
Built an AI-powered ticket intelligence system for DHL Express Turkey's IT support team, combining a fine-tuned Turkish BERT classifier, a LightGBM SLA-risk scorer with SHAP explainability, and a FAISS-based similar-ticket retrieval engine over historical ServiceNow data. Served through a single FastAPI endpoint with a web UI supporting drag-and-drop ticket parsing and analysis history, to speed up IT operations triage and routing.
About
I'm an R&D Specialist at DHL Express: researching, prototyping, and deploying ML systems that run in DHL Express's global logistics network.
ML & AI
Languages
Cloud & Databases
Data Engineering
Frameworks
BI & Monitoring
Experience
Experience
R&D Specialist · DHL Express
Apr 2025 – PresentPatent application filed · AI training for 200+ · DigiForce · RPA leadership
Data Scientist · Bosch
Oct 2023 – Mar 2025AI-SCREP · SparkUp / GecoAI
ML Researcher · Koç University
Jul 2023 – Jul 2024DWH & Data Engineer · Halkbank
Jul 2023 – Oct 2023Data Engineer Team Lead · Jeton Digital
Mar 2023 – Jun 2023Data Engineer · Jeton Digital
Sep 2022 – Mar 2023Data Scientist Intern · SmartOpt
Jul 2022 – Aug 2022Education
MSc Computer Engineering · Bahçeşehir University
Oct 2025 – PresentBSc Computer Engineering · Bahçeşehir University
Sep 2020 – Jan 2025Publications
From Detection to Resolution: A Deep Learning Framework for Destination Facility Prediction in Inbound Shipments
INFUS 2026Post-Hoc Explainability for Neural Anomaly Detection in Logistics: An Empirical Comparison of SHAP, LIME, and Integrated Gradients
UBMK 2026Set Covering Problem-Based Location Optimization for Electric Vehicle Charging Stations: A Real Case Study
ISPR 2026AI and Operations Research Applications in Express Air Cargo: A Systematic Literature Review
YAEM 2026Contact
Resume
Updated July 2026.