Become a sponsor to Yiğit ERDOĞAN
What do I do?
I am a passionate developer and researcher dedicated to the world of Artificial Intelligence, Deep Learning, and Scalable Backend Systems. My mission is to build open-source tools that make advanced machine learning techniques accessible and deployable for everyone.
I specialize in the Python ecosystem, leveraging PyTorch for training complex models, Pandas & NumPy for high-performance data manipulation, and FastAPI backed by PostgreSQL to build robust APIs. I use Docker to containerize these solutions, ensuring they run smoothly in any environment.
What kind of projects do I build?
My open-source work focuses on creating end-to-end AI solutions that bridge the gap between research and production. Here are some examples of what I work on:
- Deep Learning Models: Designing and fine-tuning custom neural networks using PyTorch for computer vision and data analysis tasks.
- High-Performance APIs: Serving ML models via fast and asynchronous FastAPI endpoints, integrated with PostgreSQL for reliable data storage.
- Data Processing Pipelines: Building efficient tools with Pandas and NumPy to clean, analyze, and visualize complex datasets.
- Containerized Deployments: Providing Dockerized applications that allow developers to spin up complex AI environments with a single command.
Why sponsor my work?
Building high-quality AI tools and training Deep Learning models requires significant computational resources (GPUs) and time. By becoming a sponsor, you directly support:
- Server & Cloud Costs: Helping me cover the expenses for training models and hosting demos.
- Development Time: Allowing me to dedicate more hours to writing code, fixing bugs, and improving documentation.
- Sustainability: Ensuring that these projects remain active, updated, and free for the community.
Thank you for your support!
Featured work
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Yigtwxx/OracleX
Open-source financial intelligence terminal for equities, Borsa İstanbul and digital assets. Real-time market data, LLM news analysis and a ChromaDB vector memory on a provider-agnostic reasoning l…
Python 2 -
Yigtwxx/J.A.R.V.I.S
J.A.R.V.I.S: An AI-powered Open Source Intelligence (OSINT) system. It orchestrates deep web scraping and local LLMs to autonomously generate comprehensive intelligence dossiers.
Python 9 -
Yigtwxx/spiyweb
Graph-based retrieval for RAG — spreading-activation over a multi-layer vector graph, with redundancy-to-vote dedup and honesty outputs
Python 2 -
Yigtwxx/Maestro
Orchestrate armies of AI agents from a single prompt. Open-core, bring-your-own-key, and self-hostable — Orchestrator routes, specialists execute, a reviewer keeps them honest.
Python 2
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