Currently
Lead AI Engine Developer @ Codlean MES — predictive digital twins for real-time industrial monitoring.
Rümeysa Ahsen Çiçek
Final-year software engineering student building AI-powered mobile health, industrial, and B2B platforms.
(01) About
Fırat University · Class of '26
(02) Selected Work
2025 — 2026

Codlean MES
Lead AI Engine Developer
End-to-end AI engine for a predictive digital twin platform — Kafka data streams, anomaly detection layers, and decision engines that translate sensor data into actionable industrial insight.
- Python
- Kafka
- State Stores
- Anomaly Detection
- MES

VisionVet-AI
Software Developer · TÜBİTAK 2209-A
Mobile AI system for early mastitis & parasite diagnosis through smartphone microscopy. CNN detection trained on a custom veterinary dataset and shipped to iOS via CoreML/ONNX.
- PyTorch
- CoreML
- ONNX
- iOS

Pharmora
Team Lead & Full-Stack Developer
Sustainability-focused B2B drug-exchange marketplace between pharmacies. React web dashboard, Node/Express API, and a Swift iOS app with barcode scanning.
- React
- Node.js
- MongoDB
- Swift

TEKNOFEST WCC '25
Developer · Finalist
Core simulation pipeline for a mesh-based, jammer-resilient BLE/LoRa system — adaptive modulation (BPSK–1024QAM, OFDM, GFSK, CSS, FLRC) with CNN-inspired frequency hopping.
- Python
- DSP
- OFDM
- Mesh Networking

OpCa / DIBaS Benchmark
AI Research Intern · Kriptarium
PyTorch pipeline benchmarking 20+ CNN/ViT architectures on the DIBaS bacterial colony dataset. Best result: 93.94% val accuracy with MobileNetV3-Large, deployed on-device to iOS.
- PyTorch
- MobileNetV3
- TorchScript
- iOS

GreenGuard
Team Lead & Developer
Desktop analytics for smart plant care. Decision-tree engine yields a 0–100 health score; predictive maintenance and NLP reporting generate care recommendations.
- C#
- .NET
- Decision Trees
- NLP
(03) Experience
Atasayar Teknoloji (Codlean)
AI R&D Intern · Lead AI Engine Developer
Sole AI developer for CODLEAN MES. Built Kafka-based data streams, anomaly detection, and decision engines for predictive maintenance.
Kriptarium LTD. ŞTİ.
AI Research Intern · Computer Vision & Mobile Deployment
Benchmarked 20+ CNN/ViT models on DIBaS dataset. Converted MobileNetV3-Large to TorchScript/ONNX and deployed to iOS.
(04) Research
- Conference Paper · 2025
Lightweight CNN Models Outperform Vision Transformers on a Small-Scale Medical Imaging Dataset: The DIBaS Bacterial Colony Case Study
ICSIS 2025 - Conference Paper · 2025
LGS Sınav Sorularını Tahmin Eden ve Üreten Yapay Zekâ Modeli: SWOT Analizi, Literatür Taraması ve LGS-Türkçe-QA Veri Seti
ICSIS 2025 - Dataset · 2026
LGS Türkçe Soru Veri Seti (Turkish LGS Exam Question Dataset) v1.0
Zenodo · doi.org/10.5281/zenodo.18304976
(05) Stack