Scalable Systems — Built for People

Challenge: Retrieval-augmented AI agents were generating inaccurate or hallucinated responses due to lack of grounding in verified business knowledge bases.

Solution: Implemented a Python-based RAG system with domain-specific indexing and vector search, reducing hallucination rates by over 80% (from ~18-25% industry baseline to 2-3%).

Challenge: During LLM fine-tuning, many challenge sets were failing due to ambiguous prompts or insufficient coverage across edge cases.

Solution: Redesigned challenge structure with clear intent-labeling, comprehensive test cases using PyTest, and JSON-based input/output validation—significantly increasing model success rates and review scores.

Challenge: The team lacked a unified frontend system, resulting in inconsistent UI patterns and duplicate logic across React components.

Solution: Developed a shared component library in Storybook with integrated Redux Toolkit logic, streamlining design consistency and reducing dev time by 40%.

Challenge: New internal tools were being blocked by rigid monoliths and legacy API endpoints that weren’t suited for multi-team dev workflows.

Solution: Refactored the architecture into micro-frontends using Module Federation and RabbitMQ for async task processing—enabling scalable, decoupled deployment across multiple departments.

Challenge: Retrieval-augmented AI agents were generating inaccurate or hallucinated responses due to lack of grounding in verified business knowledge bases.

Solution: Implemented a Python-based RAG system with domain-specific indexing and vector search, reducing hallucination rates by over 80% (from ~18-25% industry baseline to 2-3%).

Challenge: During LLM fine-tuning, many challenge sets were failing due to ambiguous prompts or insufficient coverage across edge cases.

Solution: Redesigned challenge structure with clear intent-labeling, comprehensive test cases using PyTest, and JSON-based input/output validation—significantly increasing model success rates and review scores.

Challenge: The team lacked a unified frontend system, resulting in inconsistent UI patterns and duplicate logic across React components.

Solution: Developed a shared component library in Storybook with integrated Redux Toolkit logic, streamlining design consistency and reducing dev time by 40%.

Challenge: New internal tools were being blocked by rigid monoliths and legacy API endpoints that weren’t suited for multi-team dev workflows.

Solution: Refactored the architecture into micro-frontends using Module Federation and RabbitMQ for async task processing—enabling scalable, decoupled deployment across multiple departments.