01 / Introduction

HARSH GAVAND / FULL-STACK & AI ENGINEER

I build the interface.
And the system
behind it.

Full-stack applications, backend APIs, and applied AI workflows — from the data model and provider integration to the interface people use.

Explore selected work Get in touch

Mumbai, India · Open to Full-Stack, Backend & AI Engineering Roles (Remote / Relocation)

engineering / field notes

Interfaces → APIs → workflows → data

Typed interfaces, request state, and accessible interactions.

React · TypeScriptSee the implementation

server/quota-lifecycle.mjs

1const estimate = reservationFor(request);2const reservation = await quota.reserve(estimate.amount);3let providerDispatched = false;4let actual;5let result;6try {7  signal.throwIfAborted();8  providerDispatched = true;9  result = await generate();10  actual = usageCost(result.usage, estimate);11  await quota.settle(reservation, actual);12} catch (error) {13  await quota.releaseOrEnqueueRetry(reservation, {14    providerDispatched,15    actual,16  });17  if (actual === undefined) throw error;18}19return result;

Atomic quota reservation, pre-dispatch abort rollback, and durable settlement retries with dead-letter handling.

Read the quota lifecycle

4End-to-end systems 2+ yrsFull-stack & backend engineering

StackTypeScript · Node.js · Python · React · AI

02 / Selected Work

Four systems. The engineering behind them.

AI media generation, lending workflows, repository discovery, and automated news delivery.

01Applied AI & Media Pipeline

UGC Content Studio — AI Media Generation Pipeline

Live demoSign-in to generateGitHub source

The problem & product

Marketing teams need product and model variations without repeated manual shoots. I built a multimodal generation workflow spanning authenticated uploads, Google AI image/video requests, Cloudinary delivery, and relational project and credit records.

Architecture & engineering decisions

Scoped project and generation endpoints to Clerk identity so each account works with its own project records.
Orchestrated Google AI image/video requests and Cloudinary uploads while persisting processing states and media URLs.
Implemented Prisma/PostgreSQL credit updates and restoration after generation failures, with error state retained on the project.

React
TypeScript
Node.js
Express
Prisma
PostgreSQL
Clerk
Cloudinary
Google AI

Engineering outcome

I implemented project-scoped generation, persisted image/video results, and credit restoration on generation failures across the creator workflow.

Project gallery

From assets to marketing content.

Image example from the UGC application’s gallery. Upload product and model references to create a generation.

Image generation → video generation

Open the product

02FinTech & Lending Workflows

LendFlow — Multi-Role Lending Platform

Live demoPublic landing · account for dashboardsGitHub source

The problem & product

Borrower applications, lender review, and administrative oversight need distinct product flows. I built role-oriented lending interfaces and Express loan handlers backed by relational records and explicit approval states.

Architecture & engineering decisions

Defined Sequelize user and loan models with decimal financial fields, relationships, and pending / approved / rejected states.
Implemented Express application, lookup, and approval/rejection handlers alongside JWT account authentication.
Organized borrower, lender, and admin views around loan and repayment workflows, with Chart.js data presentation.

React
Node.js
Express
Sequelize
SQL
JWT
Chart.js

Engineering outcome

I modeled loan records and approval states in SQL and implemented application, review, and repayment interfaces for three user roles.

Banking application landing page introducing lending and investment workflows

Open the landing page; account access is needed for borrower, lender, and admin views.Render-hosted deployment; the first load can take longer while the service wakes.

Open the product

03Developer Tools & Document Relations

DevGraph — Repository Discovery & Issue Platform

Live demoAccount requiredGitHub source

The problem & product

Developer collaboration depends on clear relationships between accounts, repositories, and issues. I built repository discovery and management workflows around document references, validated controllers, and independent personal/discovery feed state.

Architecture & engineering decisions

Modeled user, repository, and issue references in Mongoose and populated related documents for owner and issue resolution.
Validated repository names and MongoDB identifiers before create, read, visibility, update, and delete operations.
Separated personal and suggested repository feeds from the local search query so filtering does not trigger a network round-trip per keystroke.

React
Node.js
Express
MongoDB
REST API

Engineering outcome

I implemented owner and issue resolution through Mongoose references, validated repository mutations, and local discovery filtering without a request for each keystroke.

GitHub Replica account sign-in interface

Create an account or sign in to explore personal repository views.Render-hosted deployment; the first load can take longer while the service wakes.

Open the product

04AI Automation & Delivery Pipelines

AI News Automation — Ingestion-to-Email Pipeline

GitHub source

The problem & product

AI news sources span articles and transcripts that can be collected repeatedly. I built an ingestion-to-digest workflow with identity checks, local model inference, relational persistence, and two email output formats.

Architecture & engineering decisions

Checked article and video source identity in SQLAlchemy repositories before inserting newly collected material.
Separated collection, Ollama summarization, digest persistence, and email formatting so pipeline stages remain inspectable.
Implemented multipart text/plain and text/html SMTP delivery with source links and environment validation.

Python
SQLAlchemy
Docker
Ollama
Pydantic
SMTP

Engineering outcome

I prevented repeat source ingestion through repository identity checks and produced persisted digests with original-source references and plaintext/HTML delivery formats.

Email delivery format

One digest. Two formats.

Plain text

A readable summary with links back to the collected articles and transcripts.

HTML email

A greeting, introduction, article headings, formatted summaries, and source links.

text/plain + text/html · SMTP delivery

The product output is a multipart email digest. Inspect the formatter and run instructions in the repository.

Inspect the email formatter

Curated archiveEight more engineering problems.Browse repositories

Selected AI, API, retrieval, and workflow repositories
Year	Project	Built with	Key engineering feature	Links
2026	Banking Agent Harness	Python · Google ADK · LiteLLM	Deterministic transfer policy and later-turn confirmation	GitHub
2026	Hybrid RAG Documentation Assistant	Python · LangGraph · ChromaDB	BM25 + vector retrieval with Reciprocal Rank Fusion	GitHub
2026	AI Support Ticket Classifier	Python · FastAPI · LangGraph	Validated classification with redaction and review fallback	GitHub
2026	Symposium RAG · Semantic Cache	Python · FastAPI · Streamlit	Semantic answer reuse with source-page retention	GitHub
2026	Healthcare MCP & OpenAI	Python · MCP · FastMCP	MCP discovery and bounded read-only SQL tools	GitHub
2026	Multi-Agent Customer Support	Python · Streamlit · LangGraph	Separate conversational intake and approval graphs	GitHub
2026	AI Voice Adventure Assistant	Python · FastAPI · JavaScript	Async transcription → generation → speech playback	GitHub
2026	ADK Shopping Assistant	Python · Google ADK · LiteLLM	Validated cart state across four ADK agents	GitHub

Browse the complete project catalog

03 / Experience & Impact

Experience that connects the layers.

From responsive interfaces to APIs, relational data, and application delivery.

Globetrek Engineering Corporation

Nov 2025 — Sep 2026

AI-Native Full-Stack Developer

Engineered full-stack Django and React application features across database design, REST APIs, interface integration, and deployment to support complete business workflows.
Developed Python and JavaScript APIs, asynchronous tasks, and third-party integrations to move service work beyond the interface layer.
Designed relational schemas and reusable SQL queries to support consistent application records and reporting pipelines.
Delivered product and design requirements through shared full-stack features, keeping implementation conventions consistent across the codebase.
Reviewed shared repository changes against coding standards to improve maintainability across collaborative delivery.

Django
React
Python
JavaScript
SQL

HRP Enterprises

Jan 2024 — Oct 2025

Full-Stack Developer

Engineered responsive interfaces across browser and screen-size variations, supporting 1,000+ concurrent users with no reported compatibility issues.
Integrated REST APIs across 10+ pages and optimized page delivery, reducing average load time by 30%.
Resolved 20+ interface defects through device and screen-size fixes, improving consistency across responsive layouts.

HTML
CSS
JavaScript
React
REST APIs

About me

Curious about the whole system.

I build full-stack applications, backend APIs, and applied AI workflows. My work connects React and TypeScript interfaces to Node.js and Python services, relational and document databases, and external model and media providers.

Education

B.Tech · Information Technology

Pillai University, Mumbai · July 2025 · CGPA 8.6

Based in

Mumbai, India · Open to relocation / remote

Hackathons & recognition

Top 5

Supervity AI Hackathon, 500+ participants, built in 24 hours

View project ↗

Top 10

OpenAI Builders Hackathon, Memory Graph AI, 500+ builders

View project ↗

Top 100

Smart India Hackathon 2025, national level, 500+ teams

04 / Architecture & Skills

Architecture before abstraction.

The tools I use across interfaces, services, AI workflows, and data — and the principles that connect them.

01 / Backend & API Architecture

Contracts, identity, and request admission.

Node.js
Express
Python
Django
FastAPI
Flask
REST API Design
JWT / Clerk
Rate Limiting & Quotas
Idempotent Quota Settlement
Socket.io
WebRTC
Webhooks
REST APIs

02 / AI & Applied LLM Engineering

Context, provider workflows, and model output.

Google AI / GenAI
OpenAI API
Google ADK
LangChain
LangGraph
Agentic AI
RAG
Embeddings
Prompt & Context Orchestration
Usage Accounting
Multimodal Media Pipelines
TensorFlow
Keras
Pandas
NumPy

03 / Data Layer & Persistence

Schemas, relationships, and explicit state.

PostgreSQL
Prisma
Sequelize
MongoDB
Mongoose
MySQL
SQLite
SQLAlchemy
Redis
DynamoDB
Schema Design
Loan Lifecycle Models

04 / Frontend & Product Engineering

Accessible interaction and application state.

React
Next.js
TypeScript
JavaScript
HTML5
CSS3
Tailwind CSS
WAI-ARIA Tabs & Dialogs
State Management
Performance Optimization

05 / Delivery & Developer Tooling

Reproducible environments and reviewable changes.

Docker
Docker Compose
AWS
GCP
Linux
CI/CD
Cloudinary
Git
GitHub
Postman
Cursor
Codex
Claude Code

How I approach the build

Define the contract

Start with the product flow, API inputs, authorization boundary, and data ownership.

UGC · Clerk-scoped project endpoints

Keep state explicit

Model the states a request can enter, including provider failures, retries, and incomplete work.

Banking · pending / approved / rejected

Bound external work

Validate before a provider call. Limit usage and keep decisions that matter in application code.

Banking harness · policy + confirmation

Verify the delivery

Check the API, generated assets, source references, and deployment response before calling work complete.

Portfolio · pre-render + HTTP checks

05 / Contact

Let’s build something useful.

Good things start
with a conversation.

Have a product to build or a team to grow? I’m open to full-time, contract, and freelance opportunities in full-stack and AI engineering.

harsh.gavand.tech@gmail.com

GitHub LinkedIn

Mumbai, India · Working across the full stack

Also reachable at harshgavand2@gmail.com

A little about your idea.

Prepare an email draft. You review and send it from your email app.

I build the interface.
And the system
behind it.

Four systems. The engineering behind them.

UGC Content Studio — AI Media Generation Pipeline

Architecture & engineering decisions

From assets to marketing content.

LendFlow — Multi-Role Lending Platform

Architecture & engineering decisions

DevGraph — Repository Discovery & Issue Platform

Architecture & engineering decisions

AI News Automation — Ingestion-to-Email Pipeline

Architecture & engineering decisions

One digest. Two formats.

Experience that connects the layers.

AI-Native Full-Stack Developer

Full-Stack Developer

Curious about the whole system.

B.Tech · Information Technology

Architecture before abstraction.

Contracts, identity, and request admission.

Context, provider workflows, and model output.

Schemas, relationships, and explicit state.

Accessible interaction and application state.

Reproducible environments and reviewable changes.

How I approach the build

Define the contract

Keep state explicit

Bound external work

Verify the delivery

Let’s build something useful.

Good things start
with a conversation.

A little about your idea.

Ask Harsh’s AI

What would you like
to know?

I build the interface.And the systembehind it.

Four systems. The engineering behind them.

Architecture & engineering decisions

From assets to marketing content.

Architecture & engineering decisions

Architecture & engineering decisions

Architecture & engineering decisions

One digest. Two formats.

Experience that connects the layers.

AI-Native Full-Stack Developer

Full-Stack Developer

Curious about the whole system.

B.Tech · Information Technology

Architecture before abstraction.

Contracts, identity, and request admission.

Context, provider workflows, and model output.

Schemas, relationships, and explicit state.

Accessible interaction and application state.

Reproducible environments and reviewable changes.

How I approach the build

Define the contract

Keep state explicit

Bound external work

Verify the delivery

Let’s build something useful.

Good things startwith a conversation.

A little about your idea.

I build the interface.
And the system
behind it.

Good things start
with a conversation.