Mukesh Jadhav

AI Architect and Senior Individual Contributor with 11+ years of experience spanning enterprise AI, Generative AI, AI platform engineering, system design, intelligent automation, NLP, document intelligence, software architecture, and production-grade AI solution development. Bringing end-to-end AI platform engineering expertise, encompassing architecture, system design, platform development, GenAI integration, deployment, operationalization, reliability, optimization, and enterprise adoption, with experience building an organization-wide AI platform serving 5,000+ users. Designing and engineering scalable RAG systems, Agentic AI workflows, workflow automation, AI governance, model evaluation, and enterprise AI integrations, leveraging modern AI platform ecosystems including Azure AI Foundry, LiteLLM, Docker, and n8n.

Architecting and delivering production-grade AI solutions including an insurance document intelligence platform processing ~500 documents daily and extracting 50+ insurance entities, while independently building AI products such as Tessar for AI-assisted architecture generation and Greenlight for technology decision intelligence. Driving reusable AI architecture patterns and platform components to accelerate AI solution development, reduce duplicate engineering efforts, and establish consistent architecture standards across enterprise AI initiatives. Translating complex business requirements into scalable AI system architectures, balancing model capabilities, infrastructure, integration, security, performance, and operational considerations to deliver production-ready AI solutions.

Enterprise AI Platform Lead (Technical Project Manager) at XCEEDANCE INDIA PRIVATE LIMITED (2022-06 – Present)

• Architecting and engineering the organization's enterprise AI platform from the ground up, establishing scalable architecture and reusable capabilities for enterprise AI solution development.
• Owning the end-to-end technical lifecycle of the AI platform, spanning architecture, system design, engineering, deployment, integration, operationalization, reliability, optimization, and continuous enhancement.
• Designing scalable platform capabilities supporting RAG systems, Agentic AI workflows, workflow automation, AI governance, and model evaluation.
• Engineering an AI ecosystem leveraging Azure AI Foundry, LiteLLM, Docker, n8n, and enterprise integrations to support diverse AI application requirements.
• Designing reusable platform components and integration patterns to enable multiple enterprise AI initiatives through a common AI platform foundation.
• Scaling enterprise AI platform adoption to 5,000+ users, supporting organization-wide access to AI capabilities.
• Leading the technical design and implementation of platform capabilities while working closely with engineering, product, and business stakeholders to translate requirements into scalable AI solutions.
• Performing architecture and technology evaluations to determine suitable approaches for LLM applications, AI workflows, integrations, deployment, and platform scalability.
• Architecting and developing an intelligent document processing platform for automated insurance policy analysis.
• Designing AI/NLP-based extraction pipelines capable of identifying and structuring 50+ insurance entities from complex insurance policy documents.
• Engineering production workflows processing approximately 500 documents per day, supporting scalable & automated document analysis.
• Designing automated document analysis workflows to reduce manual processing and improve operational efficiency.
• Owning the end-to-end architecture, development, deployment, integration, and optimization of the platform.
• Designing solution components for document processing, information extraction, workflow orchestration, & downstream enterprise integration.

Senior Software Analyst at CLOUDMOYO INDIA PVT. LTD. (2016-03 – 2022-06)

Built intelligent document processing solutions and designed enterprise software capabilities.

• Built intelligent document processing solutions using Python and NLP techniques for enterprise legal contract analysis.
• Designed and implemented capabilities for clause identification, clause delineation, contract conversion, and attribute extraction within enterprise contract management platforms.
• Designed and developed scalable REST APIs supporting enterprise applications and internal services.
• Translated product and business requirements into technical designs and production-grade software solutions in collaboration with product, engineering, and research teams.
• Contributed to software architecture reviews, performance optimization, platform modernization, and code quality improvement initiatives.
• Participated in technical design discussions and supported engineering teams in developing scalable and maintainable solutions.
• Evaluated emerging technologies and contributed to the development and modernization of enterprise software capabilities.
• Supported technical mentoring and knowledge sharing across engineering projects.

Software Analyst Intern at CLOUDMOYO INDIA PVT. LTD. (2015-08 – 2016-02)

Master of Science in Electronics – University of Pune

Machine Learning Foundation in Machine Learning – Udacity