Egemen Eroglu R&D Specialist @ DHL Express
Rising Stars 2025 · DHL Express

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. This is my personal corner of the internet.

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DHL Van

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Selected Projects

ML · Address · Last-Mile

Address Error Detection

Predictive ML framework to detect address errors before shipment, improving last-mile delivery success rates and reducing manual handling. Research published at IEEE UBMK 2025.

Role: R&D Stack: Python · Transformers · XGBoost · LightGBM · CatBoost Status: Research · UBMK 2025
Deep Learning · Routing · Logistics

Destination Facility Prediction

Deep learning framework for predicting the correct destination facility for inbound shipments, reducing misrouting and handling costs. Accepted at INFUS 2026.

Role: R&D Stack: Python · Deep Learning · Pandas Status: Research · INFUS 2026
AI · LLM · MCP

MCP Customs Portal

Automated customs documentation workflows using Model Context Protocol, reducing manual processing time and improving compliance accuracy for cross-border shipments.

Role: R&D Stack: Python · MCP · LLM Status: Internal
RPA · OCR · Automation

Freight Documentation Automation

End-to-end automation of freight documentation processing using RPA and AI, cutting processing time and error rates across inbound shipment workflows.

Role: R&D Stack: Python · RPA · OCR Status: Internal
OR · EV · Upcoming

EV Charging Station Optimization

Ongoing research into optimal placement and scheduling strategies for EV charging infrastructure using operations research and demand forecasting models.

Role: Researcher Stack: Python · OR · Forecasting Status: In Progress · 2026

About

I’m an R&D Specialist at DHL Express, exploring the data side of innovation: researching, testing, and shipping ideas that make logistics smarter and faster.

Data & ML

Python PyTorch Transformers XGBoost SQL

Platforms & Pipelines

Snowflake Dataiku Azure Airflow Docker

Practices

R&D Experimentation MLOps Observability

Vitae

Experience

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R&D Specialist · DHL Express

Apr 2025 – Present

Rising Stars 2025 award · Patent application filed · AI training program for 200+ participants · DigiForce initiative · RPA leadership

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Data Engineer · Bosch

Oct 2023 – Apr 2025

AI-SCREP · SparkUp / GecoAI

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DWH & Data Engineer · Halkbank

Jul 2023 – Oct 2023
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ML Researcher · Koç University

Jul 2023 – Jul 2024
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Data Engineer Team Lead · Jeton Digital

Mar 2023 – Jun 2023
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Data Engineer · Jeton Digital

Sep 2022 – Mar 2023
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Data Scientist Intern · SmartOpt

Jul 2022 – Aug 2022

Education

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MSc Computer Engineering · Bahçeşehir University

Oct 2025 – Present
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Management Information Systems · Istanbul University

Oct 2022 – Present
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BSc Computer Engineering · Bahçeşehir University

Sep 2020 – Jan 2025

Publications

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Simulation Applications in the Logistics Sector: A Systematic Literature Review

YAEM 2025
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Predictive Machine Learning Framework for Address Error Detection in Logistics System

IEEE UBMK 2025
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From Detection to Resolution: A Deep Learning Framework for Destination Facility Prediction in Inbound Shipments

INFUS 2026
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EV Charging Station Optimization

ETMS 2026(coming)

Contact