Muhamed Harish

Led all business analysis and delivery coordination for AI-driven transformation initiatives across industries including automotive (Gargash Group), healthcare, and finance. Translated complex business goals into structured user stories, workflows, and acceptance criteria, ensuring technical delivery met stakeholder expectations. Owned end-to-end Jira project management, driving sprint planning, backlog grooming, and Agile delivery for multi-team projects. Enabled cross-functional alignment between engineering, design, and leadership teams, improving delivery velocity and stakeholder satisfaction. Facilitated process optimization and Agile adoption, introducing automation and tracking dashboards to enhance project visibility and collaboration. Managed AI projects such as a personalized medical assistant, a financial advisory agent, and an AI recruitment platform bridging business insight with technical execution.

Designed and deployed end-to-end AI automation systems for enterprise clients in construction and AI infrastructure domains, combining technical innovation with delivery ownership. Ideated and led an industry-first construction procurement automation system, transforming quotation requests into automated Bill of Quantities (BOQ) via n8n workflows, Flowise agents, and STAAD Pro integration. Developed Agentic-RAG pipelines integrating MongoDB, Supabase, MinIO, and OpenAI Embeddings for semantic document intelligence and contextual retrieval. Implemented RBAC workflows in n8n for partner chatbots to ensure secure multi-user access and operational traceability. Collaborated with Nuro AI on internal infrastructure projects, contributing to DevOps pipeline automation using Harness CI/CD and STO modules; achieved Harness Developer Certification for deployment optimization and observability. Acted as client-facing AI specialist, ensuring technical decisions aligned with business goals and operational constraints. Earned client commendation for proactive communication, issue ownership, and dependable delivery under pressure.

Developed and deployed RESTful Flask APIs for real-time session transcription using OpenAI Whisper, reducing manual note-taking effort by ~80% for internal teams. Optimized SQL queries reducing dashboard load times by 60% and improving analytical reporting performance. Collaborated with product and data teams to design scalable AI automation solutions improving productivity and reporting accuracy.