Open to opportunities

Omeje Christopher

@omejechristopher

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AI Engineer specializing in LLMs, generative AI, and backend systems for production-grade AI applications.

Nigeria

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What I'm looking for

I seek roles building production-grade LLM and generative AI systems with strong MLOps practices, collaborative remote teams, and opportunities to scale secure, high-performance AI products.

I am a results-driven AI Engineer and Backend Developer with hands-on experience designing, building, and deploying production-grade machine learning models, LLM-powered applications, and agentic AI workflows. I have engineered RAG pipelines, integrated Hugging Face and LangChain solutions, and delivered secure, high-performance APIs deployed via Docker and CI/CD on cloud platforms.

I have led projects ranging from AI chatbots and fraud/compliance document ingestion systems to an OMR exam marking system and MQTT-based IoT pipelines, demonstrating strong MLOps/LLMOps practices and cross-team collaboration. I excel at turning complex business challenges into scalable AI products and continuously improving model delivery and monitoring in production.

Experience

Work history, roles, and key accomplishments

Current

Freelance Backend & AI Developer

Current

Freelance

Jan 2023 - Present (3 years 5 months)

Built Golang and Python microservices serving 100k+ daily requests for real-time AI applications, integrated LLMs for document review and fraud detection, and applied LLMOps for continuous delivery and monitoring.

Golang Python Microservices LLMOps APIs CI CD Monitoring PostgreSQL REST

Current

AI Engineer & Backend Developer

Current

Prime Robotics and Artificial Intelligence Institute

Jan 2022 - Present (4 years 5 months)

Led development of an LLM-powered chatbot platform with RAG retrieval pipelines and scalable APIs, deployed via Docker and GitHub Actions on AWS; built fraud/compliance document ingestion and an OMR exam marking system with 95% accuracy.

Python Hugging Face RAG Docker GitHub Actions AWS fastAPI OpenCV

IoT System Developer

Internal Project

Jan 2023 - Dec 2023 (11 months)

Developed MQTT-based pipeline for secure real-time sensor ingestion and designed time-series storage optimized for speed and reliability using MySQL, applying secure device onboarding principles.

MQTT MySQL Python Data Ingestion Reliability IoT