CV

Senior ML Engineer and hands-on Technical Lead, working across forecasting, applied AI, and model-serving systems. Open to relocation (EU first) and remote work.

Updated October 2026

Download my CV (PDF)

At a glance

• Current role: Technical Lead, AI R&D at Universal Software, Jan 2024–Present. I lead technical direction and delivery, build ML systems, and mentor engineers. I also consult part-time for Moka on fintech models and serving pipelines.
• Education: MSc in Computer Engineering, Çukurova University, Aug 2023–Present · thesis in progress. Thesis: AI-Driven Object Size Prediction in Visual Data Without Depth Information and Reference Points. BSc in Computer Engineering (English-medium), Sep 2016–Aug 2021, at the same university.
• MdsAI: Human-reviewed support intelligence for 84 municipalities: retrieval over four years of solved tickets, answer drafts from fine-tuned Gemma 4 / Qwen models served on-premises with vLLM, and routing suggestions; median first-response time cut by 50%.
• Teus: River-discharge forecasting for 8 gauging stations, with event-based backtests, attention-based seq2seq models, and contract-aware FastAPI serving.
• Fishometry: MSc thesis research on single-image fish-length estimation without depth sensors or reference objects; reached 5.53 cm MAE vs. 8.76 cm for a species-mean baseline on 348 held-out outdoor photos, with species supplied.
• Muninn: A Rust LLM agent for a personal Markdown knowledge vault, with CLI, TUI, and MCP interfaces, reviewable edits, and conflict-aware undo.
• Ikas: Call-center planning APIs connecting call-volume and handling-time forecasts to Erlang-based staffing requirements, alongside demand and revenue forecasting.

The work page has the full engagement history. Reach me by email.