José Eduardo Bartra Quispe

AI Engineer & Systems Architect. With over 10 years of foundational experience in concurrent programming (Java) and automation (Python), my career has naturally evolved from game development and bot orchestration into designing modular, scalable, and adaptive AI-powered ecosystems.

Notable Architecture & Projects

MHT-ChatRAG: Real-Time Multilingual Assistant

Node.js | RAG | WebSocket | LWW Concurrency | Tri-DB (Redis, Postgres, LanceDB)

Engineered an ultra-low latency real-time voice and text assistant using WebSockets, AssemblyAI (STT), and Edge-TTS. Implemented a robust "Tri-DB" state recovery system and Last-Write-Wins (LWW) concurrency for seamless user interruptions.

View Case Study →

Adaptive Multi-Source AI Data Manager

  • Designed a system capable of dynamically switching between multiple data providers (e.g., music APIs, game presence, or AI sources).
  • Implemented fallback logic to ensure continuous data availability.
  • Enabled real-time UI updates based on source state (ACTIVE / INACTIVE / OFFLINE).
Key Contributions: Provider abstraction layer, adapter-based data normalization, autonomous source selection logic.

Modular Command & Trigger System

  • Built a reusable command system with centralized registry and distributed execution contexts.
  • Designed multiple managers for handling commands across entities, blocks, and global scopes.
Key Contributions: Unified trigger interface, command reuse via global repository, persistent state handling.

Foundational Experience & Maneuvers

Automation & Concurrent Systems (10+ Years)

Java | Python | SQL | Web Scrapping

  • Thread Management: Deep understanding of concurrent programming in Java, directly applying this logic to modern Node.js Event Loop architectures and LWW concurrency in AI streaming.
  • Autonomous Bots: Developed data-driven Python bots and macros for automated data parsing, web scraping, and specialized assistance.

Conversational UI & Game Dev

Watson Assistant | Tidio | No-Code Platforms

  • Chatbot Design: Orchestrated conversation flows and natural responses using tools like Watson Assistant, laying the groundwork for complex LLM prompting and RAG integrations.
  • Game Dev & Optimization: Directed high-concurrency online game rooms and optimized JSON/multimedia resources, establishing my focus on performance and low-latency architectures.

Core Skills

AI Integration & Orchestration

  • LLM-based systems (multi-provider)
  • RAG pipelines & Embeddings
  • Adaptive data sourcing

System Architecture

  • Modular architecture design
  • Manager-based orchestration
  • Event-driven & trigger systems

Backend & Tooling

  • Node.js / TypeScript / WebSockets
  • State Persistence (Redis/Postgres)
  • API integration (REST/Streaming)

Frontend Interaction

  • Reactive UI systems
  • Real-time visualization
  • Adaptive UX based on state

Value Proposition

  • Bridging traditional concurrent programming with modern AI streaming capabilities.
  • Building AI-powered tools that feel responsive and alive.
  • System thinking over isolated implementations.

Education & Certifications

  • Node.js for Bots (2023 - Present)
    Advanced bot automation and programmatic tooling.
  • Diseño y Desarrollo de Videojuegos (2021 - 2023)
    Instituto San Ignacio de Loyola (ISIL).
  • Videojuegos y Realidad Aumentada (2020)
    SENATI - Technical Training.