OLAMILEKAN AREMU

Architected and deployed end-to-end enterprise automation workflows leveraging Python, n8n, and custom webhooks, reducing manual data-entry lifecycles by 45% and minimizing human-error related security vulnerabilities across core operations.

Engineered an internal customer support solution by securely integrating the OpenAI API via LangChain and a Redis cache layer, successfully deflecting 60% of Tier-1 support tickets and cutting customer response latency by 300%, while safeguarding sensitive information.

Designed a multi-agent autonomous research system using CrewAI to securely scrape, synthesize, and perform sentiment analysis on market trends, preventing data breaches and saving the marketing division 20+ hours weekly.

Collaborated directly with C-suite US stakeholders to conduct technical discovery sessions, translating complex business inefficiencies into scalable and secure AI development roadmaps.

Optimized API usage and token consumption strategies, cutting operational overhead for enterprise LLM calls by 25% without sacrificing output accuracy, enhancing cost-effective security measures.

Designed, built, and optimized 50+ intricate automation pipelines using Make.com and Zapier, seamlessly synchronizing data across Salesforce, HubSpot, NetSuite ERP, and internal databases, ensuring data integrity and secure information flow for mid-market US enterprises.

Developed custom Python web scraping engines and automated ETL data preprocessing pipelines, converting unstructured data into structured formats while implementing robust data validation to feed predictive machine learning models securely.

Engineered enterprise-grade error-handling, payload validation, and instant Slack/PagerDuty alerting systems within active workflows, reducing production pipeline failures by 30% and enabling proactive incident response.

Led technical onboarding and training workshops for over 15 corporate clients, ensuring a friction-free transition and high adoption rates of newly implemented automated systems with a focus on secure operational practices.