Hi 👋🏻, I'm Vaibhav Dave

Software engineer who loves building, breaking things and learning something new in the process.

Vadodara, Gujarat, Indiavaibhavprajeshchandradave@gmail.com

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Expertise

Skills & Technologies

Languages

Python TypeScript JavaScript Java SQL Bash HTML5 CSS3

Frameworks

Astro React.js FastAPI Hono Django Node.js TensorFlow Keras scikit-learn

Tools

Git GitHub Docker PostgreSQL Redis SQLite MongoDB Tableau Linux

Libraries

NumPy Pandas Matplotlib OpenCV SQLAlchemy Pydantic LIME Better Auth

Spoken Languages

English(Professional)Hindi(Native / Fluent)Gujarati(Native)

Career

Work Experience

Amdox Technologies

Web Developer Intern

Apr 2026 – Jul 2026Bangalore, Karnataka / Remote

>Architected and deployed Atlas, a multi-tenant enterprise ERP platform from scratch, building core HR, Payroll, and Finance modules within a TypeScript monorepo using Next.js, React.js, NestJS, and Prisma.
>Engineered a robust multi-tenant security layer using Better Auth and CASL, enforcing strict database-level data isolation, mandatory MFA, and granular role-based access control (RBAC) across the suite.
>Developed complex automated backend workflows, including a formula-driven payroll engine and double-entry financial journal system, utilizing serverless Redis and BullMQ for reliable background task processing.

Stack:

Next.js

React.js

NestJS

TypeScript

Prisma

Better Auth

CASL

Redis

BullMQ

Promact Infotech

Software Developer Intern

Feb 2025 – Apr 2025Vadodara, Gujarat

>Architected and deployed a full-stack Mentor-Mentee web platform with React.js and FastAPI, decreasing server response latency by 25% through optimized asynchronous request cycles.
>Engineered an intelligent recommendation matching algorithm with Python and scikit-learn, yielding a 90% matching accuracy between industry mentors and student applicants.
>Designed responsive, role-specific administration dashboards and unified relational schemas across PostgreSQL and MongoDB databases, elevating navigation efficiency by 20%.

Stack:

React.js

FastAPI

Python

PostgreSQL

MongoDB

scikit-learn

Reliance Industries Ltd.

Database Engineer Intern

May 2024 – July 2024Jamnagar, Gujarat

>Developed enterprise-grade SQL database schemas, stored procedures, and relational integrity constraints for the Data Center Management System (DCMS).
>Automated routine data ingestion, validation, and sanitization workflows by creating modular Python scripts, eliminating recurring manual data operations.
>Analyzed query execution plans, established multi-column indexing strategies, and optimized complex joins to improve database retrieval speed by 30%.

Stack:

SQL

Python

PostgreSQL

Database Tuning

ETL Pipelines

Featured Work

Key Projects

PROJECT 01PROJECT 02PROJECT 03

Meterly

Meterly is a transparent, multi-tenant utility billing platform for rental properties with solar installations. It eliminates billing disputes by showing tenants the exact mathematical breakdown of every charge. Built on Cloudflare with real-time dashboards, tenant lifecycle management, and automated dispute resolution workflows.

Tech Stack & Tools

Astro

React

Hono

TypeScript

Cloudflare D1

Drizzle ORM

Better Auth

Cloudflare R2

Tailwind CSS

shadcn/ui

Cloudflare Turnstile

OpenTelemetry

VIEW PROJECT LIVE DEMO

1 / 6

Explainable AI-Based Glaucoma Detection

Built a multi-modal diagnostic AI system using CNNs, LIME, and LLMs. Created a full-stack application using React.js and FastAPI for real-time screening. Integrated MongoDB and AI explainability via heatmaps and natural language outputs.

Tech Stack & Tools

React.js

FastAPI

LIME

MongoDB

Python

TensorFlow

CNNsLLMs

VIEW PROJECT

Explainable AI-Based Glaucoma Detection preview 1 of 6

Explainable AI-Based Glaucoma Detection preview 2 of 6

Explainable AI-Based Glaucoma Detection preview 3 of 6

Explainable AI-Based Glaucoma Detection preview 4 of 6

Explainable AI-Based Glaucoma Detection preview 5 of 6

Explainable AI-Based Glaucoma Detection preview 6 of 6

1 / 6

E-Commerce Customer Segmentation & Insights

Performed customer segmentation using RFM scoring and K-Means clustering in Python. Enhanced marketing efficiency by 20% through targeted strategies. Built interactive dashboards and visualizations in Tableau for executive business reporting.

Tech Stack & Tools

Python

Tableau

Pandas

scikit-learn

K-MeansRFM ScoringData Analysis

VIEW PROJECT

E-Commerce Customer Segmentation & Insights preview 1 of 1

Academics

Education

B.Tech in Computer Science and Engineering

GSFCUGSFC University • School of Technology · Computer Science

School of Technology · Computer Science

July 2021 – Dec 2025

Vadodara, Gujarat

Senior Secondary (Class XII) — CBSE

KDARFSKokilaben Dhirubhai Ambani Reliance Foundation School • Physics, Chemistry, Mathematics & Informatics Practices

Physics, Chemistry, Mathematics & Informatics Practices

June 2020 – July 2021

81.6% •Jamnagar, Gujarat

Secondary School (Class X) — CBSE

KDARFSKokilaben Dhirubhai Ambani Reliance Foundation School

June 2018 – May 2019

74.8% •Jamnagar, Gujarat

Credentials

Certifications

Nov 2024

Android App Using Kotlin

IIT Bombay

View Certificate

July 2024

IBM Back-End Development Professional Certificate

IBM / Coursera

View Certificate Repository

June 2024

Google Data Analytics Professional Certificate

Google / Coursera

View Certificate Repository

Jun 2024

Data Analysis with Python

freeCodeCamp

View Certificate

2024

DeepLearning.AI TensorFlow Developer Professional Certificate

DeepLearning.AI / Coursera

View Certificate Repository

Blogs

Thoughts on software, learnings and deep dives in things that interest me.

What is Integer Caching in Java

11 Sept 2026

why 100 == 100 but 200 != 200 in Java, and how to avoid this memory optimization trap.

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