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Hi, I'm Onyekachi Iloghalu, an AI Engineer with three years of hands-on experience designing, building, and deploying AI-powered solutions across FinTech, SaaS, and automation domains. I specialize in production-grade LLM and agentic systems using Python, PyTorch, and TensorFlow, leveraging retrieval-augmented generation, prompt chaining, and memory mechanisms to deliver measurable business value. I enjoy turning cutting-edge AI research into scalable production solutions deployed on AWS and GCP, and I thrive in cross-functional teams to optimize model performance, reliability, and latency. In roles spanning AI Engineer, AI Product Lead, and AI Product Manager, I've led initiatives from PoC to production, implemented prompt chaining and retrieval pipelines, and built dashboards to monitor model drift and user satisfaction. I'm passionate about data-driven optimization, agile delivery, and DevOps practices that accelerate impact while maintaining governance and risk controls.…Hi, I'm Onyekachi Iloghalu, an AI Engineer with three years of hands-on experience designing, building, and deploying AI-powered solutions across FinTech, SaaS, and automation domains. I specialize in production-grade LLM and agentic systems using Python, PyTorch, and TensorFlow, leveraging retrieval-augmented generation, prompt chaining, and memory mechanisms to deliver measurable business value. I enjoy turning cutting-edge AI research into scalable production solutions deployed on AWS and GCP, and I thrive in cross-functional teams to optimize model performance, reliability, and latency. In roles spanning AI Engineer, AI Product Lead, and AI Product Manager, I've led initiatives from PoC to production, implemented prompt chaining and retrieval pipelines, and built dashboards to monitor model drift and user satisfaction. I'm passionate about data-driven optimization, agile delivery, and DevOps practices that accelerate impact while maintaining governance and risk controls.

Onyekachi Iloghalu

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I'm Onyekachi Iloghalu, an AI Engineer with three years of hands-on experience designing, building, and deploying AI-powered solutions across FinTech, SaaS, and automation domains. I specialize in production-grade LLM and agentic systems using Python, PyTorch, and TensorFlow, leveraging retrieval-augmented generation, prompt chaining, and memory mechanisms to deliver measurable business value. I enjoy turning cutting-edge AI research into scalable production solutions deployed on AWS and GCP, and I thrive in cross-functional teams to optimize model performance, reliability, and latency. In roles spanning AI Engineer, AI Product Lead, and AI Product Manager, I've led initiatives from PoC to production, implemented prompt chaining and retrieval pipelines, and built dashboards to monitor model drift and user satisfaction. I'm passionate about data-driven optimization, agile delivery, and DevOps practices that accelerate impact while maintaining governance and risk controls.…Hi, I'm Onyekachi Iloghalu, an AI Engineer with three years of hands-on experience designing, building, and deploying AI-powered solutions across FinTech, SaaS, and automation domains. I specialize in production-grade LLM and agentic systems using Python, PyTorch, and TensorFlow, leveraging retrieval-augmented generation, prompt chaining, and memory mechanisms to deliver measurable business value. I enjoy turning cutting-edge AI research into scalable production solutions deployed on AWS and GCP, and I thrive in cross-functional teams to optimize model performance, reliability, and latency. In roles spanning AI Engineer, AI Product Lead, and AI Product Manager, I've led initiatives from PoC to production, implemented prompt chaining and retrieval pipelines, and built dashboards to monitor model drift and user satisfaction. I'm passionate about data-driven optimization, agile delivery, and DevOps practices that accelerate impact while maintaining governance and risk controls.

Available to hire

Hi, I’m Onyekachi Iloghalu, an AI Engineer with three years of hands-on experience designing, building, and deploying AI-powered solutions across FinTech, SaaS, and automation domains. I specialize in production-grade LLM and agentic systems using Python, PyTorch, and TensorFlow, leveraging retrieval-augmented generation, prompt chaining, and memory mechanisms to deliver measurable business value. I enjoy turning cutting-edge AI research into scalable production solutions deployed on AWS and GCP, and I thrive in cross-functional teams to optimize model performance, reliability, and latency.

In roles spanning AI Engineer, AI Product Lead, and AI Product Manager, I’ve led initiatives from PoC to production, implemented prompt chaining and retrieval pipelines, and built dashboards to monitor model drift and user satisfaction. I’m passionate about data-driven optimization, agile delivery, and DevOps practices that accelerate impact while maintaining governance and risk controls.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Engineer at Bliztech Consulting Ltd

May 1, 2025 - Present

Designed and deployed a multi-agent LLM system with retrieval-augmented generation and long-term memory for enterprise knowledge retrieval, achieving a 32% improvement in query accuracy. Developed AI-driven workflow automation using LangChain and GPT APIs, reducing manual document review time by 60%. Engineered and fine-tuned transformer models with PyTorch and TensorFlow to improve text classification precision by 15%. Deployed scalable inference pipelines on AWS (Docker/Lambda), cutting model response latency by 40%. Implemented CI/CD pipelines for model updates and agent orchestration to improve reliability and release velocity across production environments.

AI Product Lead at ATB Financial

April 1, 2024 - October 16, 2025

Led development of AI-driven projects integrating GPT-based conversational agents and personalized recommendation systems, increasing user engagement by 45%. Analyzed user interactions to refine LLM prompts and decision logic, improving response relevance by 30%. Collaborated with ML engineers to implement prompt chaining and retrieval pipelines, enabling dynamic context retrieval for agent responses. Used agile planning to align AI improvements with business goals, reducing delivery cycles by 25%. Designed evaluation metrics and dashboards to monitor model drift, agent accuracy, and end-user satisfaction.

AI Product Manager at Wood Mackenzie

September 1, 2023 - October 16, 2025

Supported AI-driven fraud monitoring enhancements by analyzing transactional data patterns and recommending model thresholds that improved detection rates by 20%. Partnered with data engineering to implement anomaly detection workflows using Python and ML techniques. Facilitated cross-functional collaboration between data science and risk teams through agile ceremonies, improving delivery predictability by 35%. Conducted root cause analysis on payment data anomalies, enabling faster decisions and preventing potential fraud losses. Developed Power BI/Python dashboards for real-time fraud analytics, supporting continuous optimization of AI-driven rules.

AI Product Manager at OFGEM

October 1, 2022 - October 16, 2025

Directed end-to-end product lifecycle for an AI-powered regulatory analytics platform used to monitor energy market compliance, reducing manual audit workload by 40%. Collaborated with data science and engineering teams to deploy Python-based anomaly detection models on AWS, improving market irregularity detection by 25%. Conducted data-driven analysis of customer feedback and regulatory datasets to guide product roadmap priorities and optimize AI model parameters. Championed Agile and DevOps adoption across cross-functional teams, improving release velocity and stakeholder transparency by 30%. Defined KPIs for AI system reliability, ensuring alignment between business objectives, regulatory standards, and model performance outcomes.

AI Product Manager at Ecobank

December 1, 2021 - October 16, 2025

Led automation of end-to-end account onboarding using OCR and AI-based identity verification, reducing onboarding time from 3 days to under 1 hour. Integrated AI-driven document validation APIs with legacy banking systems, achieving 99% accuracy in ID verification. Analyzed customer onboarding data to identify process bottlenecks, guiding optimization decisions that improved efficiency by 45%. Facilitated Agile process adoption across digital transformation projects, improving cross-functional collaboration and project velocity. Developed data visualization dashboards for fraud analytics to support continuous improvement of AI-driven rules.