Projects — Ana Paola Oviedo

BRAIN – AI Agent Microservice

✅ Complete Type: AI / Backend / Microservices Impact: Very High

Spearheaded the development of an AI microservice during an internship at EngineCX.
Automated car insurance workflows via WhatsApp integration, enhancing customer engagement.
Engineered a comprehensive pipeline utilizing NLP, memory management, decision logic, and business tools (spaCy-LLM, Redis, PostgreSQL, FastAPI).
Achieved a 95% reduction in lead processing time, demonstrating significant enterprise-level operational impact.

🛠️ In progress Type: SWE / Backend API Impact: Very High

Designed and implemented a robust backend API showcasing strong software engineering practices.
Demonstrated proficiency in FastAPI, Pydantic, OpenAPI, and Pytest for validation and testing.
Developed a versatile system that bridges structured thought with engineering clarity, adaptable for various knowledge management domains.
Built a reusable foundation for productivity tools, knowledge bases, and personal tooling.

✅ Complete Type: Hackathon / Backend / Mobile App / UI Engineering / Frontend / Education Impact: Very High

Shipped a hackathon prototype solo in under 24 hours, building a vocational guidance platform end-to-end with zero sleep.
Architected a microservice ecosystem with a SwiftUI iOS app and two FastAPI services (Horizons API for identity/data, BRAIN AI for reasoning).
Implemented an agent-based AI service combining NLP, rule/decision engines, and policy handling to deliver actionable guidance.
Engineered durable state and memory via PostgreSQL (long-term logs/profiles) and Redis (real-time context), exposed through clean REST webhooks.

🛠️ In progress Type: Mobile App / UI Engineering Impact: Medium-High

Developing a mobile application using Swift and SwiftUI, employing the MVVM architectural pattern.
Focused on creating a compelling user experience with a contemporary, Gen Z-inspired design and emotional media integration.
Showcases expertise in frontend and mobile development, highlighting creativity, brand sensibility, and modern iOS 17 design principles.
Provides a strong contrast to backend work, demonstrating broad technical versatility.

✅ Complete Type: AI Ethics / Static Analysis Tool Impact: Medium

Developed an AI system utilizing NLP and static code analysis to identify ethical risks (e.g., bias, opacity) in AI models.
Capable of analyzing both model code and associated documentation (PyTorch, scikit-learn, TensorFlow).
Represents a strong niche project emphasizing commitment to ethical AI principles and responsible technology development.
Valuable for academic or research-oriented roles focusing on AI governance and fairness.

✅ Complete Type: OOP / CS Fundamentals Impact: Medium

Implemented a streaming service application demonstrating strong command of Object-Oriented Programming (OOP) principles.
Showcased practical application of design patterns, polymorphism, inheritance, and modularity in C++.
Highly relevant for Software Engineering interviews and foundational system design discussions.
Demonstrates core Computer Science fundamentals and robust class design.

✅ Complete Type: Algorithms / Data Structures Impact: Low-Medium

Developed a tool to process and sort log files, highlighting advanced linked list manipulation.
Utilized the QuickSort algorithm for efficient data organization and implemented robust file I/O operations.
Demonstrates fluency in Data Structures and Algorithms (DSA) through a practical application.
Showcases the ability to implement foundational algorithms effectively in C++.

✅ Complete Type: Data Science / SQL Impact: Medium

Gained valuable internship experience working with real hospital patient data.
Applied SQL and Python for comprehensive data organization and in-depth cohort analysis.
Demonstrates practical skills in data science and database management within a healthcare context.
Reinforces resume with real-world application of data handling and analytical techniques.

🛠️ In progress Type: Theoretical AI / Philosophical Impact: Potentially High in Future

Represents a forward-thinking vision for AI, grounded in strong ethical and philosophical foundations.
Currently in the theoretical and conceptual development phase, prior to full-scale implementation.
Highlights deep interest in the future of AI and its responsible evolution.
Suitable for academic discussions or demonstrating long-term research aspirations until a more mature prototype is available.