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Software Engineer with 4+ years in MERN Stack, AI/LLM Integration & Micro-frontend Architecture
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Software Engineer with 4+ years of experience building scalable, production-grade web applications and GenAI-powered platforms. Deep expertise in MongoDB, Express.js, React, and Node.js combined with hands-on experience integrating LLMs (GPT-4, Llama3, Azure OpenAI) and building MCP tools. Delivered a Generative AI no-code low-code platform with drag-and-drop UI using micro-frontend architecture and micro-services for Deloitte. Proven track record of achieving 40% faster load times, 30% reduction in downtime, and 30% improvement in user engagement. Experienced in scalable enterprise UI systems, RESTful API integration, and Agile delivery across cross-functional teams.
Chandigarh University
Bachelor of Technology
June 1, 2018 – May 1, 2022
Kanini Software Solutions
Software Engineer
April 1, 2025 – Present
Pune, Maharashtra, India
Tata Technologies Ltd.
Associate Engineer
June 1, 2022 – April 1, 2025
Pune, Maharashtra, India
Deloitte AI JumpStart (Generative AI Platform)
April 1, 2025 – June 1, 2026
Developed and maintained scalable full-stack web applications using React.js, TypeScript, Node.js, and RESTful APIs, supporting enterprise users across multiple business workflows. Designed scalable modules including MUI-X-TreeView, visual blocks, drag & drop UI components and workflow builders, applying system design and reusable design patterns. Integrated frontend applications with backend services through REST APIs, enabling dynamic data processing, application configuration, user interactions, and workflow execution. Collaborated on backend API integration, request/response handling, state management, authentication workflows, and enterprise application features across the platform. Integrated LLMs (GPT-4, Llama3, Azure) using RESTful APIs for dynamic text generation and markdown rendering. Worked and maintained prompt builder functionality system that allows users to create AI-powered applications using traditional databases and prompt engineering. Optimized application performance through code-splitting, lazy loading, and frontend enhancements, reducing load times by 40% and minimizing downtime by 30%, resulting in faster response times and improved system reliability for critical user workflows. Participated in debugging, code reviews, feature enhancements, and production issue resolution while following Agile development practices and Git-based version control workflows.
Cultural Fit Analysis
The candidate's experience across two different companies (Kanini Software Solutions and Tata Technologies Ltd.) and a significant project with Deloitte AI JumpStart indicates adaptability and exposure to diverse work environments. Their involvement in developing AI-powered platforms and enterprise applications aligns well with innovative and challenging roles, suggesting a good cultural fit for forward-thinking organizations. The breadth of skills from frontend to backend, DevOps, and AI integration shows a versatile and growth-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile development, Git-based version control, and collaboration with cross-functional teams. Their focus on performance optimization and system reliability indicates a proactive approach to operational excellence. The detailed project and experience descriptions suggest good communication skills in a technical context.