# Ömer Faruk Koç — Experience

## Fibabanka — MLOps & Analytics Engineer

Mar 2023 — Mar 2026 · Istanbul, Türkiye

Built and operated production ML, data and Generative AI platform capabilities across analytics workloads.

### Highlights

- **Call-Center Intelligence:** Built an audio intelligence pipeline from transcription and diarization through structured operational outputs. (~9,000 recordings / day)
- **ML Platform:** Owned deployment and lifecycle management for 10+ production ML models. (10+ production ML models)
- **AI Infrastructure:** Moved validated Azure prototypes to on-premises GPU infrastructure for private open-source model serving.
- **Data Platform:** Re-architected sequential Oracle ETL workflows into modular parallel dbt pipelines. (120 → 30 min)
- **Feature Platform:** Built a centralized feature store and dimensional models used by 10+ production ML models. (One definition per feature)
- **Data Scale:** Engineered batch and near-real-time training, inference and analytics pipelines. (~9M customers)
- **Quality & Monitoring:** Implemented data quality, model validation and delivery workflows around production analytics systems. (Checks in the pipeline, not the report)

### Technologies

WhisperX, Timestamp alignment, Speaker diarization, LLM summarization, Structured outputs, Operational KPIs, Validation, Versioning, Promotion, Serving, Retraining, Monitoring, Azure, On-prem GPU, llama.cpp, Ollama, LangChain, Oracle, dbt, ETL / ELT, Parallel execution, Feature store, Dimensional modeling, Reusable features, Batch pipelines, Near-real-time, Training, Inference, Analytics, Great Expectations, Deepchecks, Airflow, GitHub Actions