Savan Mehta

Staff AI Engineer and Architect with over 11 years of experience specialized in designing and scaling secure, enterprise-grade Agentic AI platforms. Expert in building autonomous multi-agent systems using LangGraph and Python, with a deep focus on RAG architectures for complex corporate ecosystems. Proven leader in modern frontend frameworks (React.js/Angular), having spearheaded large-scale UI modernizations and enterprise-level dashboards.

Strong track record in technical leadership, mentoring global engineering teams, and collaborating across time zones (India/US) to deliver secure, distributed AI infrastructure.

Architect at Persistent Systems (2021-10 – Present)

Thermo Fisher Scientific - Healthcare E-commerce & AI Transformation

• Design and develop platform services for AI agents, including orchestration using LangGraph, lifecycle management, and observability via LangSmith to ensure high-fidelity recommendations.
• Architected and managed the core E-commerce engine for life sciences, leading the transition to a high-availability microservices architecture using Java, Spring Boot, and Node.js.
• Engineered autonomous multi-agent systems to automate complex backend order processing and product discovery workflows, reducing manual procurement intervention by 30%.
• Developed a production-grade RAG-based AI assistant to handle complex HR, Finance, and Customer Support queries, indexing corporate policy data to provide 85%+ accurate real-time responses.
• Led frontend modernization efforts, migrating legacy components to a modern React architecture with Hooks and Functional Components, focusing on performance and state consistency.
• Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency in AI platform features and security guardrails.
• Integrated GenAI to analyze and validate synchronization of massive E-commerce transaction data, reducing sync errors by 20% across legacy and modern applications.
• Partnered with Applied AI engineers and product managers to ensure the AI platform supports real-world use cases while maintaining enterprise-grade security.

Senior Software Engineer at Mialo Technologies (2014-06 – 2021-10)

Enterprise Full-Stack Modernization (Digimaker CMS & Banswara ERP)

• Architected and delivered scalable enterprise solutions including a multi-tenant CMS and a large-scale ERP system for India's second-largest cloth manufacturing company.
• Designed and implemented enterprise-level dashboards and data-intensive interfaces using Angular (2-9), leveraging RxJS for reactive programming and complex data streams.
• Engineered responsive and performant user interfaces for global clients using React.js and Redux, ensuring seamless cross-browser compatibility and high-fidelity user experiences.
• Built and optimized robust backend services using Node.js, Java, and Spring Boot, ensuring high-throughput API performance and efficient data management.
• Managed end-to-end deployment pipelines using Jenkins, Docker, and Kubernetes on AWS, ensuring stable and high-frequency release cycles.
• Developed modular, reusable UI components and services in Angular to standardize the frontend across different manufacturing modules, improving development speed significantly.
• Utilized SQL Server and Hibernate to manage large-scale manufacturing data, improving reporting speed and organizational resource planning accuracy.
• Mentored engineering teams in India, raising the bar on technical craftsmanship, platform design, and UI/UX best practices.

Bachelor of Computer Science in Computer Science – GTU University

Diploma of Computer Science in Computer Science – GTU University