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Focused on semantic search
🎯
Focused on semantic search
37 followers · 19 following

Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Quickdraw

Highlights

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gururaser/README.md

Gurur Aşer

Jr. AI/ML Engineer focused on search, retrieval, and agentic systems.

Currently Working On

  • Hybrid search (dense + lexical retrieval) and reranking
  • RAG pipelines and agentic architectures
  • LLM fine-tuning and Turkish NLP

Writing

I write technical articles on search on Medium: @gururaser

Contact

LinkedIn

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  1. RoleRadar RoleRadar Public

    RoleRadar turns free-form requests like “Data Analyst roles in New York with SQL experience.” into structured filters and semantic-vector queries, delivering spot-on matches in seconds.

    Jupyter Notebook 6

  2. karar karar Public

    Karar, BTK Hackathon 2026 için özel olarak geliştirilmiş yapay zekâ tabanlı bir arama (Agentic Search) projesidir.

    TypeScript 1

  3. qdrant-score-boosting-ecommerce qdrant-score-boosting-ecommerce Public

    How Qdrant's Score Boosting feature can personalize e-commerce search results without training data, complex pipelines, or Learning-to-Rank models.

    Jupyter Notebook 5

  4. qdrant-intent-aware-hybrid-search qdrant-intent-aware-hybrid-search Public

    Intent-aware hybrid search for e-commerce using Qdrant, IBM Granite embeddings, and Gemini 3.1 Flash Lite.

    Jupyter Notebook 4

  5. gemini-batch-embedding-pipeline gemini-batch-embedding-pipeline Public

    ETL pipeline that generates embeddings for any HuggingFace dataset using the Gemini Embedding 2 model via the Gemini Batch API, then stores them in Qdrant for vector search. Supports text, image, a…

    Python

  6. film-analysis-project film-analysis-project Public

    Exploratory Data Analysis and Visualization of Films from 1980-2020

    Jupyter Notebook 3 2