HPHarsh PanchalFull-stack · Applied AI
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HPHarsh PanchalFull-stack · Applied AI

Full-stack and applied AI engineer building dependable platforms, secure APIs, data-rich products, and responsive user experiences.

harshpanchal2103@gmail.com Jersey City, NJ

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© 2026 Harsh Panchal. All rights reserved.

Next.js · TypeScript · MongoDB · Node.js 24

Available for selected full-time and contract opportunities

Harsh Panchal · Jersey City, NJ

Full-stack engineering for products that need to work beautifully.

I design and build secure backend systems, responsive web applications, data-rich dashboards, and practical AI features from architecture through production delivery.

View selected work Discuss an opportunity GitHub
Backend architecture and secure APIs Responsive product and admin interfaces Applied AI, RAG, and automation Cloud-ready delivery and testing
Harsh Panchal
Current direction

Reliable product systems, applied AI, and high-quality full-stack delivery.

5+

Years building products

20+

Projects and platforms

4

Engineering specialties

Core stackJavaSpring BootNext.jsReactTypeScriptNode.jsNestJSMongoDBPostgreSQLDockerREST APIsRAGApplied AIData Analytics

How I contribute

From unclear requirements to dependable systems.

I combine backend depth, product thinking, and interface craftsmanship so the result is useful to customers and maintainable for the team.

01

Backend systems

Secure APIs, authentication, data models, integrations, and scalable services across Java, Node.js, SQL, and MongoDB.

02

Full-stack products

Responsive web products, admin platforms, workflow tools, and dashboards built with React, Next.js, and TypeScript.

03

Applied AI

RAG experiences, LLM workflows, AI-assisted product features, prompt systems, and practical automation.

04

Production quality

Security, accessibility, performance, testing, deployment discipline, and maintainable documentation.

Delivery approach

Clear process. Fewer surprises.

01

Clarify

Translate business goals and ambiguity into a focused product and technical plan.

02

Build

Deliver the full path from data model and APIs to polished, responsive interfaces.

03

Harden

Test, secure, document, optimize, and prepare the system for real users and deployment.

Let's build something useful

Need an engineer who can move from architecture to polished delivery?

Share the product, platform, or engineering challenge. I'll respond with a clear next step.

Start a conversation Email directly

Featured projects

Projects selected directly from the portfolio CMS.

Only projects marked Featured on Home in the admin panel appear here, with the latest updated project shown first.

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Thriftkart – Modern E-Commerce Web Application
webFeatured

2025 · Thriftkart

Thriftkart – Modern E-Commerce Web Application

Thriftkart is a modern, responsive e-commerce web application designed to provide customers with a simple and intuitive online shopping experience, including product discovery, responsive navigation, reusable UI components, and a scalable frontend architecture.

ReactJavaScriptViteVitest

Latest from the blog

Technical writing from recent implementation work.

The newest published articles from the CMS, including backend, full-stack, data, and applied AI topics.

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How to Evaluate an AI Feature Before Releasing ItAI

Apr 13, 2026

How to Evaluate an AI Feature Before Releasing It

Learn how to evaluate an AI feature before launch using quality, safety, fairness, robustness, and business metrics.

#evaluate AI feature#AI feature release checklist#responsible AI testing
Prompt Engineering for Real Product Use CasesAI

Apr 6, 2026

Prompt Engineering for Real Product Use Cases

Learn how prompt engineering works in real AI products, with practical use cases, best practices, risks, and a framework for building reliable features.

#prompt engineering#prompt engineering for real product use cases#AI prompt design
How to Add RAG to a Real ProductAI

Mar 30, 2026

How to Add RAG to a Real Product

Learn how to add RAG to a real product with a practical, production-focused approach covering architecture, retrieval quality, security, evaluation, and rollout strategy.

#RAG#Retrieval Augmented Generation#AI Product Development