Biran Y.

Machine Learning Engineer

Biran is a Machine Learning and AI Engineer with over eight years of commercial experience. She is highly skilled in Python, Google Cloud Platform, Scikit-learn, and Pandas, and has a proven record of delivering scalable, business-aligned AI solutions built on data-driven innovation.

One of her standout achievements is developing internal AI agents that interpret natural language queries and autonomously conduct complex data analyses. This initiative transforms how non-technical stakeholders access insights, accelerates decision-making, and reduces the workload on technical teams by bridging communication gaps across departments.

Combining sharp technical expertise with strategic business insight, Biran designs and delivers impactful AI systems that empower organizations to leverage intelligence at scale.

Main expertise

  • Google Cloud
    Google Cloud 5 years
  • MLOps 3 years
  • Python
    Python 8 years

Other skills

  • Bash
    Bash 5 years
  • Docker
    Docker 3 years
  • Microservices 3 years
Biran

Biran Y.

France

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Selected experience

Employment

  • Machine Learning Engineer

    beIN Media/Digiturk - 1 year 5 months

    • Designs and implements internal AI agents capable of interpreting natural language queries and performing complex data analysis tasks autonomously.
    • Leads the development and deployment of services on Google Cloud Platform (GCP), ensuring scalability, security, and high availability.
    • Builds and maintains churn prediction models using large-scale datasets, applying machine learning and big data technologies to deliver actionable insights.
    • Develops and integrates Looker Explore Assistant extensions, enhancing user experience and enabling more intuitive data exploration through natural language interfaces.
    • Ensures compliance with internal data governance standards and external data protection regulations while managing sensitive information.
    • Continuously optimizes AI agent performance by conducting experiments, tuning models, and monitoring production metrics.

    Technologies:

    • Technologies:
    • Python Python
    • SQL SQL
    • Terraform Terraform
    • BigQuery BigQuery
    • OpenAI API OpenAI API
    • LangChain LangChain
    • ChromaDB ChromaDB
    • Looker Looker
    • Ollama Ollama
    • LlamaIndex LlamaIndex

  • Machine Learning Engineer

    Monk.io - 11 months

    • Designed and implemented Retrieval-Augmented Generation (RAG) pipelines tailored for task-specific Large Language Models (LLMs), enhancing domain relevance and accuracy.
    • Wrapped machine learning models into production-ready services, enabling scalable deployment and integration across internal systems.
    • Conducted LLM benchmarking, evaluating models for performance, latency, and task-specific effectiveness to guide model selection and tuning.
    • Developed and maintained ETL pipelines and internal dashboards, streamlining data processing and providing actionable visibility into key metrics and operations.
    • Collaborated with cross-functional teams to translate analytical and operational requirements into scalable data and model-driven solutions.

    Technologies:

    • Technologies:
    • Microservices
    • Python Python
    • Google Cloud Google Cloud
    • NLP
    • OpenAI API OpenAI API
    • LangChain LangChain
    • ChromaDB ChromaDB
    • Ollama Ollama
    • Large Language Models (LLM) Large Language Models (LLM)
    • LlamaIndex LlamaIndex

  • Data Scientist / Data Engineer

    WalletConnect - 3 months

    • Automated AWS Glue Jobs using Terraform, ensuring reliable and repeatable infrastructure provisioning for data workflows.
    • Developed continuous analysis views in Amazon Athena to support near-real-time querying and business insights.
    • Structured and maintained a scalable data warehouse using DBT (Data Build Tool), enabling modular, testable, and version-controlled transformations.
    • Created and managed Preset.io dashboards for internal monitoring, providing clear visibility into key operational and business metrics.
    • Performed ad hoc and exploratory data analyses (EDA) to uncover insights, support decision-making, and address stakeholder inquiries.
    • Collaborated with cross-functional teams to translate data requirements into actionable insights and scalable analytics solutions.

    Technologies:

    • Technologies:
    • Python Python
    • SQL SQL
    • AWS S3 AWS S3
    • Terraform Terraform
    • AWS Athena AWS Athena
    • dbt dbt
    • AWS Glue AWS Glue

  • Machine Learning Engineer

    Grokstream - 1 year 11 months

    • Developed and implemented new product features in response to evolving customer requirements, ensuring alignment with business objectives and user needs.
    • Conducted Exploratory Data Analysis (EDA) to optimize customer onboarding processes, uncovering key insights and trends.
    • Created clear and insightful visualizations to communicate data findings to stakeholders and support data-driven decision-making.
    • Enhanced performance tracking mechanisms, improving system observability and enabling more accurate KPI measurement.
    • Maintained and refactored the existing codebase, ensuring long-term scalability, maintainability, and adherence to development best practices.

    Technologies:

    • Technologies:
    • Microservices
    • Python Python
    • TensorFlow TensorFlow
    • DevOps DevOps
    • Azure Cloud Azure Cloud
    • Azure ML Azure ML
    • Clustering

  • Data Scientist / Machine Learning Engineer

    VNGRS - 2 years 9 months

    • Enhanced chatbot performance by tuning AI models and optimizing parameters to improve response accuracy and user experience.
    • Benchmarked and improved the performance of Speech-to-Text, voice replication, and Optical Character Recognition (OCR) models across multiple use cases.
    • Conducted Exploratory Data Analysis (EDA) and maintained KPI tracking pipelines to monitor system effectiveness and guide strategic improvements.
    • Led R&D initiatives in multi-attribute forecasting, designing and deploying scalable machine learning workflows integrated with AWS SageMaker.
    • Developed robust classification and information extraction models for document processing, enabling automation and enhanced document intelligence.
    • Oversaw end-to-end data operations, including data preparation, manipulation, and labeling for various AI-driven projects, ensuring high data quality and consistency.

    Technologies:

    • Technologies:
    • Docker Docker
    • AWS AWS
    • Flask Flask
    • Microservices
    • Python Python
    • Azure Azure
    • Google Cloud Google Cloud
    • TensorFlow TensorFlow
    • DevOps DevOps
    • PyTorch PyTorch
    • Scikit-learn Scikit-learn
    • NLP
    • Dialogflow Dialogflow
    • Rasa (NLP)

Education

  • BSc.Mathematical Engineering

    Yıldız Technical University · 2013 - 2018

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