Machine Learning Engineer with a background in Mathematical Engineering from Istanbul Technical University (ITU). Started by working on data-driven product and application development, then transitioned into hands-on machine learning and computer vision roles. Experienced in building and deploying computer vision systems for face analysis, image segmentation, and image enhancement, taking models from experimentation to production. Worked closely with product, design, and engineering teams in startup environments, contributing to both technical development and product execution.
Experience
PulpoAR is a technology company developing AI-powered and AR-driven digital products. I joined initially in a part-time role and later took on full-time responsibilities, working across machine learning, computer vision, and product development. Within the same organization, I contributed both as a Machine Learning Engineer and as an Assistant Product Manager on multiple consumer-facing applications, including the Pure skincare app and the Breath Hub wellness app.
- Developed and deployed computer vision models for AR face analysis using PyTorch and TensorFlow
- Built image segmentation and landmark-based pipelines for facial processing and enhancement
- Exported and optimized ML models using ONNX for production inference
- Integrated ML pipelines into C++ and WebAssembly (WASM) environments
- Built and maintained Docker-based ML workflows for training and inference
- Conducted systematic model benchmarking and performance analysis
- Explored LLM-based assistants and retrieval-augmented generation (RAG) setups for internal tooling and experimentation
- Worked with prompt design, vector-based retrieval, and evaluation of LLM outputs
- Contributed to product development and feature planning for consumer applications, including apps like Pure and Breath Hub
Nevsah Institute is a personal development, meditation and wellness organization. In a contract CRM Analyst role, I supported customer data analysis and CRM operations to improve engagement and retention.
- Analyze customer data to identify trends and opportunities for improving engagement
- Develop and implement CRM strategies to enhance customer retention and satisfaction
- Collaborate with marketing and sales teams to optimize customer outreach efforts
- Manage and maintain the CRM database, ensuring data accuracy and integrity
Finance internship focused on corporate finance processes and data analysis within a large-scale enterprise environment.
Software development internship involving backend API development and maintenance in a team-based environment.
- Developed backend services using Node.js and Express.js
- Worked with MongoDB for database management
- Used Postman for API testing and development
- Gained insights into accounting firm operations and needs
- Collaborated on projects improving software for financial services
Projects
Graduation thesis focused on deep learning-based image denoising.
- Implemented a CAE to effectively reduce noise in images.
- Conducted performance comparisons with open-source models and traditional denoising techniques.
- Achieved competitive results, demonstrating the efficiency of the CAE approach.
Skin analysis and recommendation pipeline for skincare products.
- Built CV models to detect skin conditions (e.g., acne, hyperpigmentation)
- Developed feature extraction and scoring to map users to product recommendations
- Optimized preprocessing and inference to run efficiently on mobile/WebAssembly targets
Real-time AR try-on experience.
- Implemented face landmark tracking and segmentation to anchor makeup effects in real time
- Integrated shaders/effects with ML outputs to maintain visual fidelity under lighting changes
- Improved latency and stability for web and mobile by optimizing the inference pipeline
Hair segmentation and issue analysis to personalize product suggestions.
- Developed hair segmentation models and post-processing for clean masks
- Trained a hair dandruff classifier that achieved strong in-field performance
Education
Awards
Volunteer
Provided one-on-one and group tutoring in math and geometry for university entrance exam preparation.