Galina Bakman
Senior ML Engineer @ Audioshake | Developed ML models and scalable end-to-end ML infrastructure with hands-on experience in AI chatbot RAG, GNN, Generative AI, LLMs, NLP, transformer, information retrieval, search, GenAI
- Role
- Senior Ml Engineer at Fetch
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Galina Bakman
Experienced full-stack ML Engineer with over 10 years in software development, AI/ML platforms, and system design. Skilled in machine learning, full software development life cycle, and data engineering.Key skills: machine learning, data engineering, Generative AI, prompt engineering, software development, system design, AWS cloud, AI Chatbot, LLMs, big data processing pipelines, AWS Sagemaker, NLP, transformer model, Graph neural networks, RAG, vector search, semantic search, FAISS, prompt engineering, PyTorch, feature store design, data pipelines, data processing and analytics, enterprise solutions design, DevOps, CI/CD, Docker, Triton Inference Server, Kubernetes, open telemetry, model endpoint load testing, code efficiency evaluation, ETL, data modeling, data quality control, query performance tuning, data and business analytics, web developmentProgramming languages: Python, Golang, JavaScript, TypeScript, SQL, PHP, HTMLDatabases: Redis, PostgreSQL, AWS DynamoDb, AWS Opensearch, AWS Redshift, Snowflake, MySQL, MS SQL Server.ML frameworks:PyTorch, TensorFlow, Huggingface, NVIDIA Triton Inference Server, LangChainSoftware: Visual Studio Code, PyCharm CE, IntelliJ IDEA, Sublime Text, SQL Server Management Studio,Rancher, Spark, Apache Airflow, MLflow, Comet, DBT, Tableau, Jira, Bitbucket, Git, ERP, Unity, Locust, Jaeger
Experience
Senior Ml Engineer
Feb 2020 — Present · San Francisco, CA, US
Developed and deployed a location-matching ML model leveraging semantic search algorithms, significantly improving app user experience.• Designed regression testing tools to evaluate end-to-end ML search stack performance, including a vector database comparison feature for enhanced insights• Implemented an NLP-driven support ticket classification system, reducing ticket handling time and operational costs through automated categorization• Architected a RAG pipeline to enable the AI chatbot to retrieve relevant knowledge base information and generate contextually appropriate responses for the support team, leveraging a Generative AI model• Built a flexible ML tool and data pipelines for constructing graphs from tabular datasets, accelerating training and inference for GNNs• Designed an audit web app to streamline and speed up ML NLP model accuracy validation for internal users, improving model verification processes.• Led data migration project from AWS Redshift to Snowflake that significantly reduced data warehouse operation and Tableau support costs.• Analyzed various development initiatives to identify opportunities for improved processes.• Built, deployed, and scaled robust, production-ready AI/ML-powered products for high performance and reliability
Education
Astrakhan State Technical University (ASTU)
Master's degree, Applied Computer Science in Economics
2003 — 2008
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.