Emmanuel Chiekwena

Emmanuel Chiekwena

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Detail

AI Automation Specialist || Agentic Systems || n8n Expert
Nigeria

Contact Emmanuel regarding: 
Flexible work
Starting at USD5.63/hour
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Internships
Open to unpaid internships

Timeline


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Résumé


Jobs verified_user 0% verified
  • L
    Lead AI Automation Specialist
    Jan 2026 - Current (7 months)
    Agentic RAG Orchestration: Engineered an Agentic RAG Framework using n8n and Supabase, deploying autonomous reasoning loops with self-correction protocols that reduced manual data synthesis by 85%, with zero data loss across all production workflows. • Ecosystem Deployment: Directed the 9-week end-to-end build of the OLPADR™ clinical engine, an 8-agent workflow stack spanning pre-payment validation, team performance analysis, and post-payment logic, automating the full Intent-to-ROI pipeline. • Architectural Governance: Authored a Supervisor Evaluator layer and comprehensive SOPs within Notion to audit outputs against the OLPADR Metrics Dictionary, ensuring system scalability, error-handling resilience, and cross-functional consistency.
  • eHealth4everyone
    AI Automation Engineer
    eHealth4everyone
    Aug 2024 - Current (2 years)
    Autonomous Research Systems: Compressed the public health research lifecycle by 89%, reducing 2–3 weeks of manual literature synthesis to under 10 minutes via a Multi-Agent Research System, enabling the team to triple publishable manuscript output per quarter. • Temporal-Aware HR Agents: Built 4 scheduled automation agents (Mon/Wed/Fri) using context-aware logic aligned to seasonal cycles, public holidays, and quarterly business rhythms, reclaiming hours of weekly manual research for the HR team, freeing HR officers to focus on higher-value strategic work. • Data Engineering & Governance: Delivered bidirectional MSDAT pipelines achieving 70% faster data transfer speeds with maintained high data fidelity, engineered Privacy-by-Design cha
Projects (professional or personal) verified_user 0% verified
  • C
    OLPADR Ecosystem
    Clarity to Impact
    Jan 2026 - Current (7 months)
    Built a multi agent system of 9 agents that handle business consulting that manually takes 3-4 weeks and automated into a system that takes less than 15 minutes. Tripling the number of consultations done per quarter
  • M
    Multi Agent system
    Jan 2025 - Current (1 year 7 months)
    Built a swarm in n8n where each agent handles a specific task in an ecosystem of multiple agents
  • eHealth4everyone
    MSDAT Pull Automation
    eHealth4everyone
    Aug 2024 - Current (2 years)
  • eHealth4everyone
    HDA Milestone 3 Automation
    eHealth4everyone
    Jun 2024 - Current (2 years 2 months)