Senior Mern Developer with 5+ years in Node.js, React.js & AI Automation
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Assessing your cultural and operational fit
Senior Full Stack Developer with 5+ years of experience building scalable backend services and SaaS platforms using Node.js, NestJS, TypeScript, React.js, and Next.js. Strong in microservices architecture, REST API design, and event-driven systems with Kafka and Redis. Currently building AI-powered products - AI agents, RAG pipelines, and workflow automation with n8n, OpenAI, and LangChain. Experienced in integrating blockchain APIs and wallet connectivity into full-stack applications (Web3.js, Ethers.js).
Antier Solutions
Software Engineer (Full Stack)
February 1, 2023 – Present
Mohali, Punjab, India
Arivani Technologies Pvt. Ltd.
Software Engineer (MERN Stack)
January 1, 2021 – February 1, 2023
Lucknow, Uttar Pradesh, India
Softpro India Computer Technologies
Full Stack Developer (Internship)
August 1, 2020 – January 1, 2021
India
Autopilot Monster CRM
January 1, 2026 – Present
Building an AI-native, multi-tenant SaaS platform unifying CRM, voice calling, WhatsApp automation, workflow automation, and AI agents into a single revenue-operations system. Developed autonomous AI voice agents, conversational chatbots, RAG-based knowledge retrieval with Qdrant vector memory, and intelligent lead-qualification workflows. Implemented strict tenant-level data isolation, JWT with MFA, RBAC, audit logging, and event-driven background processing.
Cultural Fit Analysis
The candidate has worked on diverse projects, including enterprise asset management, investment platforms, PropTech, and AI-native SaaS, demonstrating adaptability and a broad interest in different domains. The current role involves building an AI-native multi-tenant SaaS, which aligns with modern, complex system development. The breadth of technologies and project types suggests a willingness to learn and adapt, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate's resume indicates experience in Agile/Scrum teams and participation in code reviews, suggesting good operational fit and collaboration skills. The project descriptions are detailed, implying strong communication in a professional context. Experience with production debugging and owning issues points to a proactive and responsible work attitude.