Projects & Case Studies

Examples of the work we do

The following are example projects and case studies that illustrate our technical approach. They are illustrative examples, not client engagements.

AI / Machine Learning

AI-Powered Review Detection System

A machine-learning system for identifying potentially deceptive or suspicious reviews using NLP and behavioral signals.

  • Text analysis using natural language processing techniques
  • Behavioral signal analysis alongside text features
  • Model evaluation focused on precision and recall trade-offs
  • Designed as a supporting tool for human review, not a fully automated decision system
PythonNLPMachine LearningPyTorch
Generative AI / RAG

AI Knowledge Assistant

A RAG-based knowledge assistant that retrieves relevant information from organizational documents and provides contextual responses.

  • Document ingestion and chunking pipeline
  • Vector-based retrieval of relevant document sections
  • Contextual response generation grounded in retrieved content
  • Designed to reduce time spent searching internal documentation
PythonRAGLLMLangGraphLlamaIndex
Backend / Microservices

Enterprise Java Microservices Platform

A scalable backend platform using Java, Spring Boot, REST APIs and microservices architecture.

  • Service decomposition around business domains
  • REST APIs for inter-service and client communication
  • Containerized deployment for consistent environments
  • Structured for independent scaling of individual services
JavaSpring BootMicroservicesREST APIsDocker
Business Automation

Business Automation Platform

An automation solution designed to streamline repetitive business workflows and improve operational efficiency.

  • Mapping of manual, repetitive process steps
  • Rule-based automation of routine tasks
  • Integration with existing business tools
  • Built with monitoring so workflows can be reviewed and adjusted
PythonWorkflow AutomationSystem Integration

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