Selected systems built around real operational, product, and intelligence problems.
RAG / Knowledge system
Users needed reliable answers from internal documents without hallucinations.
Retrieval-augmented generation with controlled knowledge retrieval and answer validation.
Faster knowledge access
Reliable answers, reduced search time, and a production deployment with monitoring.
StackNext.jsPythonVector DBLLM APIs
AI agents / Automation
Complex multi-step processes required manual coordination and inconsistent execution.
An agent-based system with explicit decision boundaries, tool access, and fallback paths.
70%Less manual coordination
Automated workflows with improved accuracy and full audit trails.
StackPythonAI agentsTypeScriptPostgreSQL
Full-stack / Platform
Applications required high traffic handling and complex business logic while maintaining performance.
Optimized data pipelines, a caching strategy, and a clean API boundary between services.
Performance at scale
A scalable production platform with improved performance under real traffic.
StackReactNext.jsTypeScriptPythonJava
AI agents / Orchestration
Job seekers struggled to optimize resumes across different roles.
Multi-agent orchestration evaluates resumes, requirements, and role-specific context.
Repeatable evaluation
Automated candidate optimization with explainable, repeatable scoring.
Have a difficult problem that needs more than a prototype?