Victor Chukwudebelu

Senior AI Research Engineer and Systems Architect with 10 years of experience architecting high-scale distributed systems and a portfolio of 30+ independently designed, built, and deployed production-grade projects spanning full-stack web platforms, DeFi/Web3 protocols, supply chain security infrastructure, and advanced cybersecurity engines. Over a decade of hands-on experience mastering the intersection of high-throughput software development, distributed systems architecture, and production-grade machine learning frameworks.

As Senior AI Research Engineer at Gannett, I led a cross-functional team optimizing Reinforcement Learning from Human Feedback pipelines to elevate model alignment, safety scores, and compliance metrics. In this position, I architected distributed training infrastructure for billion-parameter Large Language Models across clusters exceeding 10,000 GPUs and reduced inference latency by 35% through model distillation and INT8/FP16 quantization, directly lowering serving costs while compressing deployment cycles using automated MLOps CI/CD evaluation.

Prior to that, as Machine Learning Engineer at Union Pacific, I engineered multi-modal data ingestion and preprocessing pipelines supporting Gemini and PaLM model workflows across text, image, and structured data domains. In that role, I implemented automated Bayesian hyperparameter tuning workflows that increased search-related ranking model accuracy by 12% across millions of daily active users, maintaining zero-downtime model updates via shadow deployments and automated rollback mechanisms.

Earlier, as Software Engineer at PEMCO Mutual Insurance, I maintained 99.9% system uptime across core insurance platforms by leading code review initiatives and mentoring junior engineers, while designing responsive web applications and authoring technical documentation that accelerated engineering onboarding by 30%. Across my engineering career, I have also developed over 30 production platforms, including the Kubernetes zero-trust security engine AttestGuard, the high-throughput on-chain event pipeline Helios-Solana, and the multi-agent AI system Agentic.

I hold a Master of Computer Applications in Computer Science. This academic foundation is backed by extensive certifications across AI/ML, security, and fintech systems.

In machine learning and cloud architecture, I hold the AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Deep Learning Specialization (deeplearning.ai), and Advanced NLP with Transformers (Hugging Face/Fast.ai) credentials. In cybersecurity and system trust, I am certified with CompTIA Security+ and EC-Council Certified Ethical Hacker (CEH).