Machine Learning Software Engineer

Bizu | August 2024 - Present | US, Remote

• Worked on eezly, a grocery price comparison application used by over 30,000+ users, leveraging ASP.NET Core Web API, Python (FastAPI), PyTorch, and cloud-based microservices to build a scalable, AI-driven app.
• Built a Recipe Recommendation System using LangChain, OpenAI, and the Recipe1M+ dataset, creating a Retrieval-Augmented Generation (RAG) system to suggest recipes based on the products users purchase. Integrated the Weaviate vector database to enhance search and recommendation.
• Employed PyTorch and Hugging Face to train hierarchical machine-learning models for classifying retail products from various stores (e.g., Walmart) into aisles, categories, and subcategories.
• Integrated Gorse, a recommender system, and contributed to open-source recommender systems.
• Designed and implemented RESTful APIs for inventory management using n-tier architecture and developed a single-page application with React.js.
• Implemented OAuth 2.0 client-credential flow using OpenIddict for secure machine-to-machine communication, Single Sign-On (Firebase, Cognito), and ASP.NET Core Identity for user management.
• Designed a messaging system using Kafka with Golang as the message producer.
• Employed xUnit and pytest to write unit and integration tests for microservices using a custom web application factory.