Harsh
Hi, I'm Harsh Kumar, a Software Engineer specializing in backend development, full-stack applications, AI integration, and cloud infrastructure.
About
Hi, I’m Harsh Kumar, a Software Engineer specializing in backend development, full-stack applications, AI integration, and cloud infrastructure.
I have around 2 years of professional experience building scalable web applications, robust APIs, payment systems, event-driven workflows, and AI-powered features. My technical expertise includes Node.js, NestJS, Java, Spring Boot, React, Next.js, databases, AWS, Docker, and LLM integrations.
From developing responsive web applications and mobile-friendly interfaces to designing backend architectures, integrating third-party services, deploying applications, and automating workflows, I can help bring your ideas to life.
I also have hands-on experience integrating AI into real-world products, including image-based analysis, automated customer support, and LLM-powered content generation.
I value clean code, clear communication, and delivering solutions that solve actual business problems. Whether you’re building a new product, improving an existing application, or looking to integrate AI into your workflow, I’m ready to help take your project from idea to production.
Let’s build something great together!
- 1 year's experience
- Joined October 2026
Industry experience
- Software & Internet
- Computers & Electronics
- Financial Services
- Consumer Goods
- Professional Services
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Work experience
Migrated platform APIs from Next.js route handlers to a scalable NestJS backend to improve REST API maintainability and enable modular, provider-agnostic services. Built an event-driven report distribution pipeline with HTML sanitization, real-time previews, and automated delivery across multiple notification channels. Set up 10+ asynchronous workflows using Inngest for script refreshes, analytics synchronization, and campaign generation. Developed an AI-powered experiment variant generator with LLM guardrails, tone-of-voice controls, and competitor context. Engineered an embeddable JavaScript SDK for dynamic personalization and integrated PostHog for event tracking, analytics, and experimentation.
Architected a secure RBAC system with fine-grained permissions across 50+ actions, reducing operational overhead by 60%. Built an AI skin analysis pipeline using LLM prompt engineering with structured JSON outputs to generate personalized reports and product recommendations. Designed an AI customer support assistant using prompt engineering, automated workflows, and a queue-based fallback mechanism for reliable AI-assisted responses. Integrated REST APIs including Razorpay, SaveIN, and CarePay for consistent payment processing. Built a scalable offers engine supporting rule-based categories, session limits, and flexible combinations to drive 40L+ monthly revenue. Managed AWS backend services (EC2, S3, CloudFront) improving page load times by 25% and production reliability, and implemented payment reconciliation across multiple sources for accurate financial reporting.
Education
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