resume
download pdf ↓AI engineer and grad student working on refusal mechanics and safety in llm through interpretability and SCL a new way of doing market research.
experience
AI Engineer · Synthetic Consumer Lab ↗
Engineering lead responsible for the full product stack: backend, frontend, AI systems, and statistical methodology.
+ detail− detail
- Architected the platform on a Laravel, Python/FastAPI, and Redis stack
- Built agentic systems and solutions for market research, synthetic consumer persona systems grounded in real demographic and behavioral data
- agnus, the agent of the market research
Teaching Assistant · Sabancı University ↗
Teaching assistant for the Quantum Programming course, guiding students through quantum computing concepts, circuit design, and practical implementations using quantum programming frameworks.
AI Engineer / Data Scientist · SoundBoost ↗
Designed and deployed deep learning models for audio source separation, classification, and acoustic event detection.
+ detail− detail
- End-to-end AI pipelines with Django backends for model serving and JavaScript for real-time inference
- Led development of AI agents for complex audio processing workflows
- Created free tools on SoundBoost like Loudness Penalty, LUFS meter, etc.
AI Engineer Intern · Live The World ↗
Engineered content generation pipelines using llms and web scraping.
+ detail− detail
- Enhanced web scraping capabilities and developed Python solutions for AI-driven applications
Data Analytics & Process Mining Intern · Allianz TR ↗
Automated Excel reporting workflows using Python and SQL. Built dynamic dashboards for operational visibility and optimized business processes using Celonis process mining.
Research Assistant ↗ · Boğaziçi University ↗
Worked on feature engineering and transformer-based architectures for seismic data analysis and earthquake detection.
+ detail− detail
- Contributed to published research (arXiv:2407.18402)
Teaching Assistant · Boğaziçi University ↗
Led QA sessions for Numerical Methods, teaching practical applications of NumPy, SciPy, and Matplotlib through hands-on problem solving.
education
M.Sc. in Data Science · Sabancı University ↗
Thesis research on mechanistic interpretability of large language models, studying how refusal and related concepts are represented geometrically in a model’s internal activations. Coursework in advanced deep learning and statistical analysis.
Graduate Studies in Computer Science · University of Padua ↗
Completed the first year of the M.Sc. program. Advanced coursework in artificial intelligence and deep learning, building strong theoretical foundations in deep learning architectures and algorithmic problem-solving.
B.Sc. in Physics · Boğaziçi University ↗
was part of the EarthML research group, Science Club
projects
TÜBİTAK 2209-A
Developed a high-precision earthquake detection model through interesting feature engineering methods.
Earth-ML
Enhanced time series classification using advanced modeling techniques for geophysical data.
Kaggle ML Challenge ↗
8th place in Türkiye İş Bankası ML Challenge 5 through effective feature engineering.
Datathon AI
3rd place in computer vision competition.
NLP News Summarization ↗
Comparative evaluation of BART and T5 architectures for summarization tasks.
"Burası" Art Exhibition
Merged seismic data with artistic representation, fusing science and art.
skills
certifications
languages
Turkish (native) · English (fluent)