Experience

Data Scientist

Enterprise retail AI · Türkiye

• Cut lost sales by 10% for an enterprise retail client by improving demand forecast accuracy and the replenishment decisions driven from it.
• Own demand forecasting and replenishment models in production for three enterprise retail clients, covering roughly 1M SKU-store pairs — from feature pipeline through model release.
• Build and operate large-scale ML pipelines on Databricks, PySpark and Airflow: feature generation, training, backtesting and scheduled inference.
• Design the offline and online evaluation behind model releases — backtesting setup, holdout construction and drift monitoring on live series.
• Deliver inventory-visibility models and next-best-action recommendations for client planners, working with product and engineering to ship them.

Senior AI/ML Researcher part-time

Bilkent University · Ankara, Türkiye

• Named senior researcher on three government-funded R&D programs (TÜBİTAK 117E870, 120E103, 125E060); lead the ML workstream on classification, anomaly detection and concept-drift adaptation over large-scale streaming and event data.
• Designed AdaNEN, a neural ensemble for evolving data streams, improving classification accuracy by up to 8.8% across 13 benchmark datasets (ACM TKDD).
• Co-designed LACE, an unsupervised concept-drift detector for multi-label streams that cuts detection delay by 63.5% versus the previous best unsupervised method at a 0% missed-detection rate (ACM CIKM 2026).
• Proposed the Adaptimizer optimizer and an On-the-Fly Adaptation (OFA) framework for continual LLM adaptation under temporal drift, evaluated across two decades of news (ACM CIKM 2025); implemented in PyTorch and HuggingFace.
• Own projects end-to-end — dataset construction, training, evaluation metrics, and offline/online experiments — turning research into reusable, well-evaluated models.

Teaching Assistant part-time

Bilkent University · Ankara, Türkiye

• Teach and mentor students in Information Retrieval, Algorithms and Computer Organization, explaining complex ML concepts to technical and non-technical audiences.
• Supervise student projects on online learning, neural retrieval and ranking systems.

• Information Retrieval — Prof. Fazlı Can
• Computer Organization — Prof. Fazlı Can
• Algorithms and Programming II — David Davenport

Android Developer Intern

Petanux GmbH · Bonn, Germany

• Built an Android app for online price comparison across multiple vendors.

Software Engineer

Shams Clinic · Tehran, Iran

• Built a clinic management system for appointment scheduling, staff coordination and financial tracking, used in daily operations.

Ph.D. in Computer Engineering

Bilkent University · Ankara, Türkiye

Advisor: Prof. Fazlı Can · Bilkent Information Retrieval Group (BilIR)

• Research: machine learning on large-scale data streams — classification, anomaly detection, concept-drift adaptation, and LLM / time-series foundation model adaptation.
• Member of the Bilkent Information Retrieval Group (BilIR).

M.Sc. in Computer Engineering

Bilkent University · Ankara, Türkiye

Thesis: Evolving Text Stream Classification with a Novel Neural Ensemble Architecture · Bilkent repository

• Thesis published in ACM TKDD.

B.Sc. in Computer Engineering

Iran University of Science and Technology · Tehran, Iran

Thesis: Driver Drowsiness Detection using Raspberry Pi — supervised by Prof. Behrouz Minaei