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Hüseyin Daş

Software Engineer in Istanbul, Turkey

huseyindas.dev

About

As an experienced software engineer, I have designed and implemented scalable solutions for large-scale applications. Currently, I work on AI-focused projects that provide innovative solutions in the field of data science, and also manage complex deployments in DevOps, focusing on optimizing CI/CD pipelines and cloud-based infrastructures. Leveraging my expertise in technologies such as Django, FastAPI, Flask, PostgreSQL, Docker, Kubernetes, AWS, and Redis, I continue to collaborate with agile teams to produce high-quality software. I am also actively developing projects with LLM models, LangChain, and RAG. Recently, I worked on vLLM models to process real-time camera footage and developed an alerting mechanism based on it. Looking ahead, I aim to expand my work in both AI and DevOps, focusing on providing cutting-edge solutions in these different areas.

Work Experience

2021 — Now
  • Participated in R&D projects, contributing to the completion of multiple TEYDEB projects with high evaluations.
  • Authored and co-authored academic articles published in domestic and international journals.
  • Developed chatbots using the Rasa framework, reducing technical service workload by 30% and providing 24/7 user support.
  • Implemented AI-driven features such as voice and camera support for mobile apps.
  • Conducted fraud detection in retail using CCTV cameras and YOLO models, achieving over 90% accuracy.
  • Worked on Bluetooth and UWB-based indoor positioning systems.
  • Developed facial recognition systems with custom facenet-based hybrid models, integrating them into the Hybrone platform.
  • Built hybrid recommendation models for personalized user experiences.
2021 — 2021
  • Developed the backend for the company's B2B platform using Django Rest Framework, integrated with Canias ERP.
  • Managed ERP interactions to provide real-time information on dealer statuses, product stocks, and technical services to end users.
  • Utilized PostgreSQL for database management, Celery for task queuing, Redis for caching, and Elasticsearch for search indexing.
  • Employed S3 and GCP for storage, and Docker for containerization.
  • Ensured the platform's active usage by over 3000 dealers, introducing an advanced, user-friendly B2B system in the sector.

Education

2024 — Now

Master Degree at Fırat University

Elazig, Turkey

2018 — 2022

Bachelor Degree at Fırat University

Elazig, Turkey

Writing

2022

Market Fraud Detection with Image Processing ↗

International Conference On Emerging Sources In Science

2022

Face Identification in Security Systems ↗

Cukurova 9th International Scientific Researches Conferance

2022

Product Recommendation System Based on AI ↗

RDCONF International Conference on Design, Research and Development

Certifications

2022

Certificate of Participation

IKSAD Institute

2021

RDCONF2021 Certificate of Participation ↗

Orclever Science&Research Group