Anslem Akadu Anuoluwa AI and ML enginer

AI / ML Engineer

20four7VA

Oct 2025 - Current (7 months)

- Built and integrated AI-powered automation systems into internal workflows, enhancing operational efficiency and productivity. - Developed custom AI chatbots for internal knowledge retrieval and employee support, leveraging advanced machine learning techniques. - Created an AI assistant capable of answering company-wide operational queries, utilizing natural language processing to improve user interaction. - Designed an AI-driven support chatbot that resolves issues and generates tickets when escalation is required, ensuring timely responses to employee needs. - Passionate about turning ideas into practical AI systems that solve real business problems, I have also utilized GPU programming to fine-tune large language models (LLMs), pri

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ML/AI Engineer

LifeBank (Nigeria) Ltd – HealthTech & Medical

May 2024 - Feb 2026 (1 year 10 months)

As an ML/AI Engineer, I have successfully fine-tuned Gemma 1B with QLoRA for domain-specific hospital finance tasks, focusing on instruction alignment and domain adaptation. I migrated our AI system from Gemma to Qwen, which significantly boosted reasoning depth and scalability while reducing inference latency by 20%. Additionally, I automated AWS EC2 GPU training using Bash, which reduced setup time by 40% and lowered compute costs. My experience in software architecture ensures that the systems I develop are robust and scalable, minimizing downtime and enhancing reliability. I have utilized frameworks like Flask and FastAPI in various projects, which has further solidified my ability to create efficient and maintainable software solutions

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Data Scientist (Financial Systems)

LifeBank (Nigeria) Ltd

Feb 2024 - May 2024 (4 months)

As a Data Scientist specializing in Financial Systems, I have successfully built machine learning models for hospital finance forecasting, focusing on profitability, liquidity, leverage, and efficiency using XGBoost and Prophet. I designed hybrid-weighted models, combining 80% naive logic with 20% machine learning to ensure robustness on sparse datasets. My work includes implementing revenue and cash flow predictions with various regressors, such as hospital size and state, while surfacing early warning signals of negative cash flow to facilitate proactive decision-making within hospitals. Additionally, I approached my role with a mindset akin to that of a software architect, not only developing machine learning models but also managing the

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Data Scientist (Healthcare Forecasting)

LifeBank (Nigeria) Ltd

Oct 2023 - Feb 2024 (5 months)

• Developed time-series forecasting pipelines for blood supply, oxygen, and medical stocks, reducing stock-out risk by 20%. • Enhanced Equipment system with predictive maintenance ML models for early equipment servicing. • Delivered a forecasting engine, providing healthcare teams with scenario simulations to improve planning for critical supplies.

Anslem Akadu Anuoluwa

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