{
  "$schema": "https://unpkg.com/@jsonresume/schema@1.3.0/schema.json",
  "meta": {
    "canonical": "https://bazarov.me/cv.json",
    "version": "1.0.0",
    "lastModified": "2026-07-20T00:00:00+02:00"
  },
  "basics": {
    "name": "Evgeny Bazarov",
    "label": "Founding AI Engineer | AI Engineering Leader",
    "image": "/me.webp",
    "email": "baz.evgenii@gmail.com",
    "phone": "+33 6 37 24 58 26",
    "url": "https://bazarov.me",
    "summary": "Founding AI Engineer and engineering leader with 10+ years of experience taking AI systems from research to production. I build agentic products, retrieval systems and document intelligence for accuracy-sensitive domains, while remaining hands-on across Python, TypeScript and AI infrastructure. I have led teams of 3 to 8 engineers and worked directly with CTOs, CEOs, Product teams and domain experts.",
    "location": {
      "city": "Paris",
      "countryCode": "FR",
      "region": "Greater Paris Metropolitan Region"
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "evgeny-bazarov",
        "url": "https://www.linkedin.com/in/evgeny-bazarov"
      },
      {
        "network": "GitHub",
        "username": "EBazarov",
        "url": "https://github.com/EBazarov"
      }
    ]
  },
  "work": [
    {
      "name": "Allia",
      "location": "Paris, France",
      "description": "AI platform for accounting firms",
      "position": "Founding AI Engineer",
      "startDate": "2025-12",
      "summary": "Building and industrializing Allia's AI platform with the CTO and Product team, from agent architecture to production reliability.",
      "highlights": [
        "Architected a multi-agent copilot with LangChain and LangGraph, hybrid retrieval and domain tools for accounting workflows.",
        "Reduced contextual email quality regressions by 68% and critical errors by 89% through evaluation-led agent improvements.",
        "Made ingestion reliable at 340,000 workflows per week using dedicated Temporal workers, bounded concurrency and batched vector writes.",
        "Built an agentic evaluation harness connected to Langfuse, selecting a configuration that reduced latency by 32% and cost by 9% while improving citation reliability and factual grounding."
      ],
      "x-technologies": [
        "Python",
        "TypeScript",
        "LangChain",
        "LangGraph",
        "MCP",
        "Temporal",
        "Langfuse",
        "PostgreSQL",
        "pgvector",
        "OpenSearch",
        "turbopuffer",
        "Sentry"
      ]
    },
    {
      "name": "Gino LegalTech",
      "location": "Paris, France",
      "description": "Contract lifecycle management and legal AI",
      "position": "Lead AI Engineer / Principal AI Engineer",
      "startDate": "2025-01",
      "endDate": "2025-12",
      "summary": "Led the AI team and shaped the AI strategy, roadmap and production standards with the CEO, Product and Legal teams.",
      "highlights": [
        "Designed contract intelligence workflows that reduced average legal processing time by 48%.",
        "Built structured extraction, playbook-based clause analysis, Word redlining, amendment generation and assisted email workflows.",
        "Architected an auditable hybrid graph and vector retrieval system with tracing, evaluations and guardrails."
      ],
      "x-technologies": [
        "Python",
        "LangChain",
        "LangGraph",
        "Langfuse",
        "Hybrid RAG",
        "Knowledge Graphs",
        "Neo4j",
        "PostgreSQL"
      ]
    },
    {
      "name": "Tomorro",
      "location": "Paris, France",
      "description": "Contract lifecycle management platform",
      "position": "Lead AI Engineer",
      "startDate": "2024-07",
      "endDate": "2025-01",
      "summary": "Defined the contract assistant trajectory with the CTO and Product team and led a team of three AI engineers through production delivery.",
      "highlights": [
        "Built the multi-agent foundation for the AI Assistant and Contract Review, increasing user satisfaction from 75% to 92%.",
        "Led research and development on advanced retrieval and Graph RAG for contract repositories."
      ],
      "x-technologies": [
        "Python",
        "LangGraph",
        "Langfuse",
        "Multi-agent Systems",
        "Graph RAG",
        "LLMOps"
      ]
    },
    {
      "name": "Besedo",
      "location": "Paris, France",
      "description": "Trust and Safety technology",
      "position": "Head of Data Science / Lead Data Scientist / Senior Data Scientist",
      "startDate": "2017-06",
      "endDate": "2024-06",
      "summary": "Progressed from Senior Data Scientist to Head of Data Science, leading applied ML and platform engineering for global Trust and Safety products.",
      "highlights": [
        "Led up to eight engineers and oversaw more than 130 production models processing tens of millions of content items per day.",
        "Industrialized the ML and MLOps platform, reducing delivery cycles from several months to a few weeks.",
        "Delivered multilingual NLP, computer vision and similarity-search systems from client discovery through production operation."
      ],
      "x-technologies": [
        "Python",
        "PyTorch",
        "Hugging Face",
        "NLP",
        "Computer Vision",
        "Kubernetes",
        "MLflow",
        "AWS",
        "MLOps"
      ]
    },
    {
      "name": "ioSquare",
      "location": "Paris, France",
      "description": "Multilingual NLP startup",
      "position": "Data Scientist / Data Science Intern",
      "startDate": "2015-06",
      "endDate": "2017-06",
      "summary": "Built multilingual NLP systems for content moderation and data exploration, from proof of concept to deployment.",
      "highlights": [
        "Developed text normalization, embeddings and experimentation workflows for multilingual moderation and fraud-prevention use cases."
      ],
      "x-technologies": [
        "Python",
        "NLP",
        "word2vec",
        "GloVe",
        "Embeddings",
        "Data Visualization"
      ]
    }
  ],
  "education": [
    {
      "institution": "EISTI — École internationale des Sciences du Traitement de l'Information",
      "area": "Data Science, Big Data and Business Analytics",
      "studyType": "Master's degree",
      "startDate": "2014",
      "endDate": "2016"
    },
    {
      "institution": "Bauman Moscow State Technical University",
      "area": "Radio-electronic Systems and Devices",
      "studyType": "Engineering degree",
      "startDate": "2008",
      "endDate": "2014"
    }
  ],
  "skills": [
    {
      "name": "Agentic AI",
      "keywords": [
        "LangChain",
        "LangGraph",
        "MCP",
        "Agentic Harnesses",
        "Tool-using Agents",
        "Hybrid RAG",
        "Graph RAG",
        "Knowledge Graphs",
        "Langfuse",
        "Evaluations"
      ]
    },
    {
      "name": "Document Intelligence",
      "keywords": [
        "Structured Extraction",
        "Classification",
        "OCR",
        "PDF",
        "Word",
        "Excel",
        "MSG",
        "Redlining",
        "Document Generation",
        "Email Generation"
      ]
    },
    {
      "name": "AI and ML Engineering",
      "keywords": [
        "Python",
        "PyTorch",
        "Hugging Face",
        "scikit-learn",
        "NLP",
        "Computer Vision",
        "FastAPI",
        "MLOps",
        "LLMOps"
      ]
    },
    {
      "name": "Data and Platform",
      "keywords": [
        "TypeScript",
        "PostgreSQL",
        "pgvector",
        "OpenSearch",
        "turbopuffer",
        "Qdrant",
        "Neo4j",
        "Temporal",
        "Docker",
        "Kubernetes",
        "AWS",
        "GCP",
        "Sentry"
      ]
    },
    {
      "name": "Engineering Leadership",
      "keywords": [
        "Architecture",
        "Roadmaps",
        "Hiring",
        "Mentoring",
        "OKRs",
        "KPIs",
        "GDPR",
        "EU AI Act",
        "Executive Communication"
      ]
    }
  ],
  "languages": [
    {
      "language": "English"
    },
    {
      "language": "French"
    },
    {
      "language": "Russian"
    }
  ]
}