Work Experience
Waymo — Machine Learning Engineer, Driver Understanding ML
Jun. 2026 - Present | Mountain View, CA
- Working on Gemini post-training for road-rule compliance and rare/long-tail event detection in autonomous driving.
- Building agentic harnesses around Gemini-based models for Driver Understanding workflows.
Waymo — Software Engineer Intern, Driver Understanding ML
May 2025 - Aug. 2025 | Mountain View, CA
- Architected and deployed systematic prompt engineering and automation framework with Gemini LLM, serving millions of daily autonomous vehicle events, automating Traffic Events Triage with 91% recall on high-impact scenarios representing 35% of all queries.
- Built production-grade few-shot inference pipeline, improving complex judgment recall by 9 points.
- Established Gemini LLM prompt engineering and automation best practices adopted across 3 teams, enabling efficiency gain in automation tasks. Guides and practices were adopted by other colleagues, reporting 90% recall on a separate automation task.
- Implemented dynamic prompting with context-aware sensory information, allowing context-aware automation.
US Army Research Laboratory (DEVCOM ARL) — Research Scientist Intern, Multimodal Foundation Models R&D
Jun. 2024 - Sep. 2024 | Adelphi Laboratory Center, MD
- Led development of robust vehicle classification systems via sub-10M parameter foundation models trained on multimodal sensor data, achieving 12% improvement in detection accuracy while improving other downstream tasks performance (e.g. tracking) with real-time deployment on edge devices.
- Led integration of physical decay models into foundation model pretraining, developing novel loss functions that improved robustness to environmental variations by 10%. Model was deployed and demonstrated on low-cost edge devices.
- Deployed inference pipeline capable of real-time processing (sub-second inference latency) on edge devices, enabling distributed sensing applications for autonomous systems in resource-constrained environments.
Prometeia — Machine Learning Engineer
Jan. 2020 - Aug. 2022 | Istanbul, Turkey
- Architected AI-based propensity scoring framework processing 3M+ customer transactions in a large bank, utilizing advanced time series embeddings and attention mechanisms to predict customer interests with improved accuracy.
- Developed a deep learning credit default prediction system, engineering novel temporal transaction features that improved recall by 25%.
- Enhanced Allianz Insurance's automated damage assessment system processing thousands of claims monthly, implementing state-of-the-art segmentation models with data augmentation pipeline that led to improved F1-score by 6%.
Turkish Aerospace — Software Design Engineer, Autopilot Systems Division
Jul. 2017 - Dec. 2019 | Ankara, Turkey
- Developed and maintained signal processing libraries for autopilot control system software, reducing signal processing delay by up to 20%.
- Led the interpretation of electromagnetic and vibrational noise within sensor data, developing signal filtering solutions compliant with control algorithms.
- Created a sensor emulator framework, enabling realistic software-in-the-loop simulations for the autopilot department.