AI/ML Engineer • Python Developer
I build intelligent systems that connect machine learning, LLMs and production-ready Python backends.
Focused on RAG applications, applied machine learning and backend systems using Python, FastAPI, Django, PyTorch and modern AI tooling.
Open to AI/ML & Python opportunities
Istanbul, Türkiye • Open to relocation in Europe
TOOLS I BUILD WITH
whoami
Erim Cengiz
focus
AI/ML · RAG · Python Backend
stack
Python · PyTorch · FastAPI · Django · Qdrant
status
Building intelligent systems
02 / SELECTED WORK
From document retrieval to predictive models — a selection of systems, experiments and the engineering behind them.
AI Engineering / RAG
A multi-service RAG application that turns PDFs into searchable context and generates answers grounded in retrieved document content.
Document ingestion → context-aware answers
NLP / Deep Learning
A BERT-based text classifier built with PyTorch and Transformers to distinguish six emotion classes.
Reported validation results; there is room to improve classification quality.
Machine Learning / Regression
A regression workflow for predicting new subscribers from channel and video analytics, followed by ensemble and stacking experimentation.
Reported experiment metrics; later work explored ensembles and stacking.
Computer Vision / Robotics
An autonomous-vehicle project combining visual object detection with stereo-camera-based distance estimation.
Object detection + distance estimation
Machine Learning / Anomaly Detection
A two-stage approach combining autoencoder representation/anomaly learning with a supervised Random Forest stage to identify fraud.
Recall describes detection of the minority class; it does not establish precision.
Deep Learning
A TensorFlow / Keras network with three outputs: mutation flag, class label and disease risk. Experiments showed strong performance alongside signs of overfitting.
Three outputs · overfitting observed
Strong experimental results; generalisation needs further evaluation.
03 / EXPERIENCE
Team-based engineering and academic work connecting software with real systems.
Engineering team
EVA TEAM
Engineering experience with EVA TEAM, focused on telemetry and vehicle control.
Technical contributionTelemetry and vehicle-control work within the team.
Software engineering / academic project
Institution to confirm
Academic software engineering work combining object detection with stereo-camera-based distance estimation.
Technical contributionVisual object detection and distance estimation using a Python, OpenCV, YOLOv5 and ROS stack.
Role details to confirm
View related project04 / TECHNOLOGY
Python at the core, with a focus on applied machine learning, retrieval systems and backend development.
Classification, regression and deep-learning experiments.
Document pipelines and context-aware applications.
APIs and the services around intelligent systems.
Preparing, querying and working with data.
Visual perception and robotic systems.
Packaging, version control and development environments.
05 / ABOUT
I'm a software engineering graduate focused on applied artificial intelligence, machine learning and Python systems.
My work spans RAG applications, NLP, computer vision, predictive modelling and backend development. I'm developing that foundation toward AI/ML engineering, with an interest in connecting useful models to well-structured software.
06 / CONTACT
I'm interested in AI/ML engineering, RAG, Python backend and applied machine-learning opportunities.
Open to AI/ML & Python opportunities