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Schedule Interview NowMy name is Emmanuella C. and I have over 3 years years of experience in the tech industry. I specialize in the following technologies: Java, Spring Boot, Spring MVC, JavaFX, MySQL Programming, etc.. I hold a degree in Bachelor of Science (BS), . Some of the notable projects I’ve worked on include: Recruitment Selection Automation, SkyFly, Location-Based Attendance Management System Using QR Code, Scent Spot, Customer Support Chat Bot, etc.. I am based in Lekki, Nigeria. I've successfully completed 15 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
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Developed an AI-driven automation workflow to streamline the finalist selection process for the PITCH2WIN startup competition. The system mirrors the manual VC selection pipeline, reduces bias, and integrates external data sources like LinkedIn and Crunchbase. It supports clustering, customizable scoring rubrics, and investor-specific bias modeling for top 10 lists
SkyFly is a Java flight booking system built with Spring MVC, featuring role-based access control. Admins can manage flights and bookings, while users can search, book flights, explore tourist attractions, and use currency conversion. This project highlights my expertise in Java, Spring MVC, JSP, and MVC architecture, showcasing my ability to build secure, scalable, and user-friendly web applications for production.
Location-Based Attendance Management System Using QR Code. This system features dashboards for both lecturers and students. Lecturers can create new classes, generate and distribute QR codes, and view or edit student attendance records. Students can scan the QR code to mark their attendance, which is only recorded when they are in the class venue. Additionally, students have the ability to view their attendance records and communicate with lecturers regarding any absences.
Scent Spot provides a user-friendly interface for browsing and purchasing a wide range of perfumes and related products. With its seamless integration of Node.js and React and Stripe as its payment service, the platform offers a responsive and interactive shopping experience.
I built a context-aware AI chat agent using n8n, OpenAI, and a PostgreSQL vector database (pgvector) as a live in-app support assistant. This RAG-based system engages users in real-time, referencing past chats and support docs to give accurate responses. If human help is needed, it creates a support ticket. It streamlines workflows, reduces response time, boosts customer satisfaction, and supports multimodal inputs like audio and image processing.
Bachelor of Science (BS) in Computer science
in High School Diploma