Hi, I'm Ajinkya

Lifelong Tech Learner

Hero Animation Fallback
 

This is Me

AI-Powered Full-Stack Developer with a passion for building intelligent, user-centric applications. Experienced in crafting modern web solutions using MERN stack, Next.js, etc. Enthusiastic about integrating AI technologies like RAG, NLP, and AI agents into real-world platforms. Strong problem-solver with a keen interest in scalable systems and innovative digital experiences.

Full Stack Web Developer

Full Stack Web Developer

AI Developer

AI Developer

Researcher

Researcher

Problem Solver

Problem Solver

 

Skills

My Cup of coffee

HTML 5
HTML 5
CSS 3
CSS 3
JavaScript
JavaScript
React JS
React JS
Next.JS
Next.JS
git
git
Node JS
Node JS
Drupal
Drupal
AIML
AIML
MongoDB
MongoDB
MYSQL
MYSQL
JWT
JWT
Java
Java
C language
C language
 
 

Work Experience.

QED42

Intern Web Developer

QED42

  • Contributed to Drupal Core with multiple merge requests, including bug fixes and new features.
  • Developed headless CMS solutions by integrating Drupal with modern frontends like Next.js for dynamic web applications
  • Built intelligent content systems using Retrieval-Augmented Generation (RAG) and AI agents, improving content delivery and automation for web applications
2025 - present
 

Projects.

Following projects showcase my skills and experience through real-world examples. Each project is briefly described with links to code repositories and live demos (if available) in it. It reflects my ability to solve complex problems, work with different technologies, and manage projects effectively.

project_image
source-code

Data-Driven Traffic Analysis System for PMC

A comprehensive web portal for urban traffic analysis integrating real-time insights, citizen reporting, and ML verification to mitigate traffic issues.

#react.js

#mongoDB

#express.js

#node.js

#google-maps-api

#tensorflow

#flask

project_image
source-code

Fish Species Identification (Fishify)

Android app achieving 94.55% accuracy in fish species identification with real-time location-based pricing and edibility information.

#python

#deep-learning

#web-scrapping

#flutter

#flask

#openai-api

#mobilenet-v1

project_image
source-codesource code

HomeSeek: Real Estate Marketplace

A full-stack real estate platform built with React.js, Node.js, and MongoDB, featuring interactive map-based property listings, advanced filtering, etc.

#react.js

#node.js

#mongodb

#prisma

#jwt

project_image
source-codesource code

Ecommerce Frontend

A responsive e-commerce frontend built with React and plain CSS, featuring product listings, cart functionality, and a clean user interface. First project in my journey of web development.

#react.js

#css

#javascript

#context-api

#state-management

project_image
source-codesource code

RAG App for PDFs

This is a simple Retrieval-Augmented Generation (RAG) application that allows you to upload a PDF, retrieve the most relevant content using semantic similarity, and generate answers using a lightweight LLM.

#python

#rag

#streamlit

#qdrant-vector-database

project_image
source-code

Auto tab grouper

Chrome extension that intelligently organizes your open tabs into semantic groups using an LLM. With a single click, it classifies tabs into meaningful categories like “AI Tools”, “News”, “Docs”, “Entertainment”, and more.

#javascript

#chrome-extension

#LLM

#prompt-engineering

#ai-agent

 
 

Get in Touch

Contact.