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Nguakaaga Mvendaga ✏ edited
Backend Engineer | LLM Systems & Agent Orchestration
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Contact
Email
fidelisnguakaaga20@gmail.com
Phone
07031128081
Career & Education
Position
Backend Engineer | LLM Systems & Agent Orchestration
AI Enrichment
AI systems engineer specializing in agent orchestration, Retrieval-Augmented Generation (RAG), structured output validation, and production-grade LLM integrations. Experienced building stateful, tool-using agents with reliability gates, observability, and deterministic fallback logic. Focused on designing scalable architectures for autonomous reasoning systems.
Primary role
Backend Engineer
Seniority
mid
Status
ai_done
Skills
Python JavaScript React Next.js RAG (Retrieval-Augmented Generation) AI/ML Integration SaaS Development Git Vercel Stripe Integration FastAPI TypeScript API Design Microservices Design LLM Function Calling Structured Output Validation Redis Caching Context Memory Layers Session Persistence Event-Driven System Design Async Task Processing Observability Docker CI/CD AWS GCP RAG Architecture Vector Search Embedding Strategies Retrieval Pipelines Agentic Workflow Design State Machines Tool Orchestration Patterns
From the resume
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Projects
Customer Support RAG System (Autonomous AI Backend)
↗
Built production-ready retrieval system with confidence thresholds to prevent hallucinations, implementing strict schema validation, structured logging, and tool-based augmentation workflows.
RAG Schema Validation Structured Logging Tool-based Augmentation
AI SaaS Platform (Agent-Driven Architecture)
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Designed scalable backend supporting AI-driven workflows with persistent session state, API integrations, and containerized deployment, focused on reliability and structured outputs.
API Integrations Containerized Deployment Session State Management
SQL Query Agent (Tool-Using LLM System)
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Developed deterministic tool-executing agent translating natural language into validated SQL with strict output enforcement and failure recovery.
LLM SQL Tool Execution Output Enforcement
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Provenance
id: 3ee5e8ab-0f9b-5d82-8f2d-aa1a20177d9d
Created: 1778530728
Updated: 1778530728