Feroz K.

I design and build applied AI and automation systems for workflows where data is complex, decisions must be explainable, and manual effort becomes a bottleneck. With a background spanning regulated enterprise environments (pharma & healthcare), external-facing solution roles, and hands-on AI system building, I focus on turning raw data, system outputs, and documentation into structured, decision-ready, and auditable outputs. My work includes: • Building end-to-end AI systems (data ingestion → logic → explanation → UI) • Structuring audit and compliance evidence from scan outputs and configurations • Automating reporting and documentation workflows (ISO, GRC-style use cases) • Designing explainable AI pipelines (RAG systems, deterministic logic + AI assist) • Creating Streamlit-based demos and tools that non-technical users can trust and use I am not a generic “AI expert” or a black-box model builder. My strength lies in: • Explainability over hype • Workflow clarity over complexity • Practical systems over theoretical AI This approach has been applied across projects such as AI-driven analytics platforms, audit intelligence engines, and knowledge systems built on RAG architectures. If your team or consulting workflow involves complex data, manual reporting, or the need to explain results clearly to stakeholders, I can help design and implement a system that does exactly that.