Nikhil Arora

About Nikhil Arora

AI Solutions Engineer with hands-on experience building enterprise-grade AI systems, automation pipelines, and intelligent agents in production environments. Currently at MCI India, leading the design and deployment of AI solutions spanning RAG-based knowledge systems, LLM orchestration, document intelligence, and end-to-end workflow automation. I work closely with stakeholders to translate real business problems into scalable AI systems, delivering solutions that drive measurable impact. Previously at Axiom Global Technologies as an Associate Software Engineer, I contributed across the full development lifecycle, building internal automation tools, SharePoint data pipelines via Microsoft Graph API, Power Automate workflows, and full-stack applications deployed on Azure. My work focused on reducing manual effort through well-designed systems, integrations, and scheduled pipelines that teams could actually rely on.What drives me is simple. I genuinely enjoy making complex systems elegant and making people\'s work lives easier through technology. There\'s nothing more satisfying than shipping something smart that just works.

Experience

1. Ai Solutions Engineer

   MCI India

   Mar 2026 — Present · Gurgaon, IN

   As an AI Solutions Engineer, I design and deploy enterprise-grade AI systems and intelligent automation solutions to support business transformation across multiple domains. I work closely with stakeholders to translate real business problems into scalable, production-ready AI systems across the full development lifecycle.Building and deploying RAG-based knowledge systems and AI chatbots using vector search and large language models for enterprise use cases. Developing LLM-powered automation pipelines integrating document intelligence, OCR, and intelligent data extraction workflows. Designing and implementing multi-platform API integrations connecting AI systems with external tools and services. Building agentic workflows with memory, tool access, and human-in-the-loop fallback strategies for reliable production deployment. Implementing evaluation pipelines, monitoring, logging, and continuous optimization to ensure accuracy, reliability, and cost efficiency. Applying prompt engineering and system prompting techniques to ground models, reduce hallucinations, and enforce compliance. Using AI-assisted development tools to accelerate delivery and maintain high code quality across all projects.

Education

• Amity University

  Bachelor of Technology - BTech

  2021 — 2025