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David GolaDG

David Gola

Fullstack & AI Engineer

€540/day
1 project
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About David

I design and deploy AI systems in production for teams that want to move fast without breaking production: LLM agents with tool use, RAG pipelines on pgvector, multi-provider orchestration (Anthropic, OpenAI, Gemini) via LiteLLM, Langfuse observability.

Before AI, I spent several years architecting large-scale distributed data platforms — which allows me to deliver robust LLMs, not just demos.
  • French

    Native or bilingual

  • Polish

    Native or bilingual

Can work on-site
Paris (up to 20km)

Experience

  • Chantal Läng
    Chantal's Scores
    SOFTWARE PUBLISHING
    January 2022 - Today (4 years and 7 months)
    Genève, Switzerland
    Large-scale crypto data aggregation platform (team of 4 developers).

    • Architected a Python data collection framework (42 sources, 13 blockchains, modular architecture) handling pagination, parallelism, and browser automation — mass MongoDB storage

    • Orchestrated 60+ distributed pipelines with Celery (hourly/daily/weekly scheduling) and asynchronous RabbitMQ publishing to decouple consumers

    • Implemented system resilience: fine-grained rate limiting, residential proxies, Pyppeteer browser automation for sources without public APIs, active memory monitoring on long-running workers

    • Developed the business API in NestJS/TypeScript (64 MongoDB aggregations, fundamental scoring, intelligent caching) with Prometheus + Grafana metrics and Docker deployment on AWS

    Stack: Python · Celery · Redis · RabbitMQ · MongoDB · Docker · AWS · Pyppeteer · NestJS · TypeScript · Prometheus · Grafana
    Python (programming language) MongoDB Typescript Celery Docker
  • Indépendant
    GolAi
    ENTERTAINMENT AND LEISURE
    April 2026 - May 2026 (1 month)
    Alfortville, France
    Conversational AI assistant specialized in video games. Connected to the user's library (Steam, PSN), it answers questions about games, analyzes profiles, and provides personalized recommendations through semantic search.

    Architecture:

    • Pydantic AI agent with dynamic tool use and end-to-end SSE streaming

    • RAG pipeline: pgvector + sentence-transformers for semantic search on the user's library

    • Multi-provider LLM pipeline via LiteLLM (Anthropic, OpenAI, Gemini) with prompt caching (~60% API cost reduction) and Langfuse observability

    • Automatic game data enrichment pipeline (IGDB + SteamSpy + GPT-4o Mini Batch) generating 11 structured signals to refine RAG relevance

    • Extensible multi-platform import (Steam, PSN, designed to accommodate other stores without code modification)

    Stack: Python · FastAPI · React · PostgreSQL · pgvector · Pydantic AI · LiteLLM · Langfuse · sentence-transformers · Docker
    FastAPI Python (programming language) LLM AI Agents PostgreSQL
  • Personnel
    Humantree
    ENTERTAINMENT AND LEISURE
    February 2026 - April 2026 (2 months)
    Paris, France
    Solo design and development of a web platform for visualizing and managing skill trees, integrating a generative AI pipeline and a complete production infrastructure.

    • Full async FastAPI REST API (SQLAlchemy 2.0, Alembic, Pydantic v2) with secure authentication via httpOnly cookies + JWT, and secret management via HashiCorp Vault
    • Multi-provider LLM pipeline (OpenAI, Anthropic, Google Gemini) for automatic skill tree generation, with semantic search via pgvector
    • PostgreSQL data model with complex many-to-many relationships
    • React 19 / TypeScript frontend with interactive graph visualization (@xyflow/react + Dagre)
    • Multi-stage Docker infrastructure + continuous deployment on Linux VPS via GitHub Actions (lint → test → build → deploy → smoke tests → automatic rollback)
    • Complete observability: Prometheus/Grafana metrics, Loki structured logs, Tempo distributed traces, Discord alerting
    • Integrated security: SAST Bandit, Trivy image scan, dependency audit, 40+ integration tests

    🌐 In production: humantree.vps.webdock.cloud
    Python (programming language) Typescript Docker FastAPI React.js

Reviews

5.0

Out of 1 rating

S

Steven

docteur garnier (in ictu oculi datalab)

Reviewed on 1/30/2023

responsiveness thank you flexibility and availability thank you again

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Education

  • Apprenticeship engineering degree, Computer Science
    ENSIIE - National School of Computer Science for Industry and Business
    2021
    Diplôme d'ingénieur en alternance, Informatique - Développement software (Java, Python, C, orienté objet, bas niveau, multithreading ...) - SGBD (SQL & NoSQL) - Réseaux (Configuration routeur, pare-feu, ...) - Docker - Développement web (PHP, NodeJS, Rest ...) - Sécurité (intro audit, SOC/SIEM, sécurité en environnement industriel) - Machine Learning - Data Science
  • University technology diploma (DUT), Computer Science
    IUT of Montreuil
    2018
    Diplôme universitaire de technologie (DUT), Informatique

Certifications

Skill set

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