Adaobi Onyekaba

• Designed and launched AI-powered role-based EHR platform for digital pharmacy operations, authoring PRDs, user stories, and prioritized backlog using Agile methodology
• Reduced development timeline by 70% leveraging Claude Code AI pair programming, delivering full-stack Next.js/TypeScript application with Stripe integration in <48 hours
• Architected multi-tenant SaaS with ML-powered features: predictive adherence scoring (92% accuracy target), PA auto-submission, and real-time prescription tracking
• Deployed via Vercel CI/CD with NextAuth.js authentication, Prisma ORM, and PostgreSQL supporting 6 user roles across pharmacy networks

• Architected and developed full-stack SaaS platform from concept to production using Next.js 14, TypeScript, PostgreSQL, and AWS, serving as sole founder and technical lead
• Integrated Claude AI API to build conversational event planning assistant with RAG capabilities, alongside core features: budget calculator, guest management system, and vendor marketplace
• Designed tiered subscription model ($19.99-$99.99/month) with Stripe payment processing, positioning platform as intermediary between clients and vendors in US and Nigerian markets
• Built comprehensive admin dashboard for platform operations including user management, vendor database, support tickets, and automated billing/invoice generation
• Tech Stack: Next.js 14 (App Router), TypeScript, PostgreSQL (AWS RDS), Tailwind CSS, Claude AI API, Stripe, OAuth 2.0

Consumer Enterprise Marketing Technology | Boston, MA

Customer-Facing Technical Leadership & Data Architecture

• Designed customer engagement initiatives for enterprise financial platforms serving millions of users, presenting data analytics solutions and cloud architecture recommendations to C-level executives and technical stakeholders
• Architected scalable data processing solutions using Java microservices and ETL/ELT pipelines built in Python, Spark and SQL, cloud platforms, and distributed systems, translating complex customer requirements into technical specifications and implementation roadmaps
• Manage complex stakeholder relationships with executive leadership, engineering teams, and compliance officers, effectively communicating technical capabilities and business value of data analytics solutions

Big Data Implementation & Performance Optimization

• Design and implement ETL/ELT data pipelines supporting real-time analytics and batch processing across multiple database systems including PostgreSQL, Oracle, and MongoDB using Python and Spark
• Optimize query performance and data processing through schema design improvements, indexing strategies, and distributed systems architecture, achieving measurable performance improvements for customer applications
• Conduct proof-of-concept development for emerging data technologies including AI/ML integration, demonstrating platform capabilities and securing executive approval for technology investments
• Collaborate with cross-functional teams including data scientists, product managers, and infrastructure engineers to deliver integrated analytics solutions addressing specific customer business challenges

Boeing Ground Midcourse & Defense Team | Huntsville, AL

Technical Solution Architecture

• Managed enterprise client relationships across defense contracting organizations, presenting technical solutions and modernization strategies to senior military and civilian leadership
• Drove 35% productivity improvement through strategic technology implementations, demonstrating clear business value and ROI to secure continued investment and expansion opportunities
• Architected technical solution presentations for legacy system modernization, influencing multi-million dollar procurement decisions and technology roadmap planning by updating custom VBA macros applications to python.
• Coordinated with cross-functional teams including program managers, engineers, and external contractors to deliver integrated solutions meeting complex client requirements
• Applied consultative selling approach to identify client pain points and propose tailored technology solutions, resulting in successful project approvals and implementation

Data Science & AI (DSAI) team | Cambridge, MA

Client-Focused Solution Development

• Architected and delivered web-based Operations Management Client for internal stakeholders, managing requirements gathering, solution design, and implementation oversight
• Partnered with data science teams to integrate machine learning capabilities, presenting technical solutions and business benefits to operational leadership
• Developed scalable microservices architecture using Spring Boot and Java, demonstrating platform capabilities and influencing technology adoption decisions
• Created compelling data visualizations and reporting solutions, translating complex analytics into actionable business insights for executive decision-making

• Architected and developed full-stack SaaS platform from concept to production using Next.js 14, TypeScript, PostgreSQL, and AWS, serving as sole founder and technical lead
• Integrated Claude AI API to build conversational event planning assistant with RAG capabilities, alongside core features: budget calculator, guest management system, and vendor marketplace
• Designed tiered subscription model ($19.99-$99.99/month) with Stripe payment processing, positioning platform as intermediary between clients and vendors in US and Nigerian markets
• Built comprehensive admin dashboard for platform operations including user management, vendor database, support tickets, and automated billing/invoice generation
• Tech Stack: Next.js 14 (App Router), TypeScript, PostgreSQL (AWS RDS), Tailwind CSS, Claude AI API, Stripe, OAuth 2.0