kalanjiya vishnu j
@kalanjiyavishnuj
Full-stack software engineer building scalable multi-tenant SaaS with Node.js, React, and event-driven systems.
What I'm looking for
I’m a Full-Stack Software Engineer with 3+ years building and scaling backend services and user-facing applications for multi-tenant retail CRM/customer-data SaaS. I specialize in Node.js/TypeScript and React, and I like using system design and test-driven development to ship robust, maintainable code.
At Casa Retail AI, I built a distributed multi-tenant onboarding platform with command-based orchestration that reduced onboarding effort by 90% through real-time, state-driven dashboards. I also engineered a multi-tenant loyalty & promotions engine (bill processing, points earn/redeem, cohorts, campaign execution) and delivered a high-throughput event-streaming pipeline ingesting from files, Kafka topics, and databases—processing millions of events at sub-second latency.
I’ve worked across integrations and automation too: I architected serverless microservices for automated AR template generation and deployment with 95% CI/CD test coverage, and I built a React drag-and-drop invoice/e-bill builder that reduced configuration effort by 70% while improving frontend velocity and reuse. From webhook-driven lead ingestion (Meta/Google Ads metrics) to microservices on AWS/Azure with Docker and Kubernetes-based CI/CD, I focus on reliability, scalability, and clean engineering practices.
Experience
Work history, roles, and key accomplishments
Software Engineer
Casa Retail AI
Aug 2022 - Present (3 years 10 months)
Built a distributed multi-tenant onboarding platform and reduced onboarding effort by 90% using real-time, state-driven dashboards. Engineered high-throughput event-streaming pipelines (millions of events) and delivered React tooling that reduced configuration effort 70% while increasing frontend velocity 40%.
Education
Degrees, certifications, and relevant coursework
Kongu Engineering College
Bachelor of Engineering, Computer Science & Engineering
Grade: CGPA 9.56/10
Completed a B.E. in Computer Science & Engineering at Kongu Engineering College, graduating in 2023 with a CGPA of 9.56/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
vishnuj.vercel.appJob categories
Skills
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