Mohd Arhan kaif

Forward Deployment AI Engineer with specialized experience developing multi-agent LLM systems, enterprise supply chain ontologies, and automated validation pipelines. Proven track record partnering directly with domain SMEs and process leaders to rapidly convert ambiguous operational bottlenecks into scalable, production-grade applications. Experienced in full-lifecycle execution across Next.js, Node.js, Python, Azure, and graph-based data hydration.

System Engineer (AI Automation) - Tata Consultancy Services (TCS)

(2025-04)

• Embed directly with Supply Chain Management (SCM) SMEs to capture ambiguous business rules, constraints, and process gaps; engineer working POCs into validated production systems.
• Designed and implemented procurement entity ontologies using Neo4j and Python, correlating multi-source vendor, contract, and purchase data to power conversational Copilot analytics and savings identification.
• Re-architected an end-to-end customer and supplier onboarding workflow utilizing multi-agent orchestration, automated document text extraction, downstream credit/risk evaluation, and human-in-the-loop review.
• Built resilient automated testing and validation pipelines across Azure and on-premise environments via GitLab CI/CD, resolving real-time data hydration and runtime API failures.

Web Developer Intern - Clustor Computing

(2023-08 - 2024-02)

• Developed responsive web components using HTML5, CSS3, and JavaScript, ensuring seamless cross-browser compatibility and strict UI consistency.
• Investigated and debugged frontend performance bottlenecks, API integration defects, and layout regressions in agile sprints.

B.Tech - Computer Science & Engineering - Anjuman College of Engineering & Technology (2024-07)