Galina Alperovich

Lead ML Engineer

London, United Kingdom13 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Designed ML systems for 400M+ users.
Led teams in developing advanced AI solutions.
Patented multiple AI technologies.

Stackforce AI infers this person is a Machine Learning Engineer with extensive experience in AI solutions for large-scale applications.

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Skills

Core Skills

Large Language Models (llm)Machine LearningNatural Language Processing (nlp)Artificial Intelligence (ai)Software Development

Other Skills

AI safety mechanismsAirflowAnomaly DetectionCeleryComputer ScienceComputer VisionContinuous Integration and Continuous Delivery (CI/CD)Data AnalysisData MiningData ScienceDeep LearningGenetic AlgorithmsInformation RetrievalJavaKubernetes

About

10+ years of experience designing, deploying, and scaling AI systems used by 400M+ users. Technical leadership, deep ML expertise, team management and mentoring, and full lifecycle ownership of projects in startups and enterprises. Global Talent UK visa holder Legal right to work in EU, UK, UAE

Experience

Coinbase

2 roles

Technical Lead Manager, Machine Learning

Promoted

Feb 2025 – Present · 1 yr 1 mo

Staff Machine Learning Engineer

Jul 2023 – Feb 2025 · 1 yr 7 mos

Designed and developed an LLM-based customer support chatbot serving ~100K conversations monthly.
Developed AI safety mechanisms for LLM applications such as intelligent real-time monitoring and guardrails.
Developed tailored chatbots such as Performance Review Assist, Customer Support Agent Assist, and Compliance Assist, driving significant improvements in internal metrics and boosting team efficiency.
Worked on the design and implementation of an internal multi-cloud LLM platform for advanced LLM use cases.

Large Language Models (LLM)AI safety mechanismschatbot developmentmulti-cloud LLM platformMachine Learning

Soveren

Head of Machine Learning

Feb 2022 – Apr 2023 · 1 yr 2 mos · United Kingdom (remote)

Created and lead a core ML team to build a low false positive system, contributing to $6M funding
Design and development of the fully automated, scalable and compliant ML system from scratch for Sensitive Data Classification (PII, PCI, PHI)

Natural Language Processing (NLP)MLOpsPython (Programming Language)Network Traffic AnalysisMachine LearningKubernetes+2

Avast

3 roles

Staff Scientist, AI

Promoted

Jul 2020 – Feb 2022 · 1 yr 7 mos

Designed and patented ML-based Device Identification Engine with a 0.96 F1, deployed to 400M+ users
Designed and patented an Android Privacy Scanner deployed to 35M+ users in Avast Mobile Security
Collaborated with Stanford University on research projects; wrote papers, spoke at conferences, and mentored interns
Created automated IoT IP blocklist with 50K+ entries based on honeypot traffic for Avast Omni
Initiated and co-organized the CyberSecAI conference in Prague that became an annual event

RabbitMQContinuous Integration and Continuous Delivery (CI/CD)Natural Language Processing (NLP)Large Language Models (LLM)MLOpsDeep Learning+8

Senior Machine Learning Researcher

Promoted

Oct 2018 – Jul 2020 · 1 yr 9 mos

Machine Learning Researcher

Oct 2017 – Sep 2018 · 11 mos

Natural Language Processing (NLP)Network Traffic AnalysisAnomaly DetectionComputer ScienceArtificial Intelligence (AI)Machine Learning

Jetbrains

2 roles

Software Developer

Promoted

Jan 2016 – Oct 2017 · 1 yr 9 mos

Auto-ML tools for a new Web-based Python IDE that became a part of PyCharm
Led JetBrains' first ML project: a tool for bug prediction in Java programs based on code and git history
Analyzed user behavior and created reports for all JetBrains IDEs by applying statistical and machine learning methods

Python (Programming Language)Computer ScienceJavaSoftware Development