{
  "schemaVersion": "1.0",
  "canonicalUrl": "https://artemf.dev/",
  "name": "Artem Frolov",
  "title": "Applied AI Engineer & Data Scientist",
  "location": "London, UK",
  "headline": "I build AI systems for real workflows.",
  "intro": "I'm an applied AI engineer and data scientist in London. I turn complex operational work into useful AI tools, from complaint investigation to pricing. My focus is reliable delivery: clear evaluation, traceable outputs, and people in control.\n",
  "focus": [
    "Governed LLM applications",
    "Agentic workflow design",
    "Retrieval and context engineering",
    "Databricks-native AI apps",
    "LangGraph orchestration",
    "MLflow evaluation and logging",
    "MLOps for production decision systems",
    "Internal tools for operational teams"
  ],
  "currently": {
    "label": "Currently",
    "text": "Building AI assistants and decision tools at Domestic & General."
  },
  "availability": {
    "label": "Open to",
    "text": "Applied AI, AI product, infrastructure, and agentic systems conversations."
  },
  "links": [
    {
      "label": "GitHub",
      "url": "https://github.com/artemf375",
      "type": "social"
    },
    {
      "label": "LinkedIn",
      "url": "https://www.linkedin.com/in/artemfr",
      "type": "social"
    },
    {
      "label": "Email",
      "url": "mailto:afrolov01@icloud.com",
      "type": "contact"
    }
  ],
  "experience": [
    {
      "organisation": "Domestic & General",
      "role": "Senior Data Scientist",
      "location": "London, UK",
      "startDate": "2023-08",
      "endDate": "Present",
      "summary": "Building AI assistants, machine learning models, and pricing tools in a regulated insurance business. Leading work from business case and architecture through evaluation, governance, and rollout.\n",
      "highlights": [
        "Led Complaints Sidekick from business case and architecture to a Phase 2 live trial, with complaint handlers reviewing AI summaries, evidence, and recommendations.",
        "Built evaluation, monitoring, and feedback frameworks with usage logs, traceable outputs, quality assurance review, and human oversight.",
        "Delivered AI assistants for pricing and analytics teams to investigate model performance and verify deployments, reducing manual analysis effort by approximately 80%.",
        "Introduced CI/CD, automated testing, model versioning, and reproducible training pipelines, reducing deployment timelines from approximately one month to under one week.",
        "Developed the organisation's first production cancellation propensity model for pricing decisions, with an approximately 4% improvement in first-year customer retention.",
        "Delivered pricing optimisation using Earnix, simulations, elasticity modelling, and lifetime value analysis.",
        "Worked with senior stakeholders across Pricing, Decision Science, Complaints, Operations, Risk, and Assurance to define requirements and deliver governed systems."
      ],
      "tags": [
        "Production AI",
        "Agentic Workflows",
        "Regulated AI",
        "Data Science",
        "Machine Learning",
        "Pricing",
        "Databricks",
        "MLOps",
        "LangGraph",
        "MLflow"
      ]
    },
    {
      "organisation": "Paloma Labs",
      "role": "Co-Founder / Builder",
      "location": "Delaware, US",
      "startDate": "2025-11",
      "endDate": "Present",
      "summary": "Building analytics and machine learning tools for mobile apps, with a focus on event tracking, on-device prediction, and developer experience.\n",
      "highlights": [
        "Built early Swift SDK prototypes for automatic and manual event tracking.",
        "Designed event ingestion, session processing, and analytics schemas with FastAPI, PostgreSQL, and Redis.",
        "Explored on-device inference for behaviour prediction and privacy-conscious product analytics.",
        "Built web tools for configuration and analytics exploration."
      ],
      "tags": [
        "Swift",
        "SwiftUI",
        "FastAPI",
        "PostgreSQL",
        "Redis",
        "React",
        "Product Analytics",
        "On-device ML"
      ]
    },
    {
      "organisation": "Henkel Ltd",
      "role": "Net Revenue Management - Commercial Excellence",
      "location": "UK",
      "startDate": "2022-08",
      "endDate": "2023-02",
      "summary": "Developed pricing analysis, retail reporting, and commercial decision tools for a consumer goods business.\n",
      "highlights": [
        "Analysed Dunnhumby, IRI, and commercial data to identify pricing and revenue-growth opportunities.",
        "Built reporting and decision tools, including electronic point-of-sale tracking and stock optimisation, that generated approximately £500k in commercial value.",
        "Translated business questions into analysis of pricing, promotions, stock, and category performance."
      ],
      "tags": [
        "Revenue Management",
        "Pricing Analytics",
        "Power BI",
        "Excel",
        "Commercial Analytics"
      ]
    }
  ],
  "education": [
    {
      "institution": "Durham University",
      "degree": "BEng",
      "field": "Electronic Engineering",
      "location": "Durham, UK",
      "startDate": "2019-09",
      "endDate": "2022-06",
      "summary": "Studied electronics, communications, signal processing, control systems, mathematics, and applied statistics, with practical work in modelling and engineering design.\n",
      "highlights": [
        "Led a six-person project on the engineering and commercial feasibility of torsion bar suspension for armoured vehicles; the project received a first-class mark.",
        "Applied mathematical modelling and control theory to evaluate system performance and engineering trade-offs."
      ],
      "tags": [
        "Statistics",
        "Further Mathematics",
        "Control Systems",
        "Signal Processing",
        "Electronics",
        "Communications",
        "Engineering Design"
      ]
    }
  ],
  "completeContentUrl": "https://artemf.dev/content.json",
  "textUrl": "https://artemf.dev/llms-full.txt"
}