
Software Engineer at Pure Billion Technology
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Pure Billion Technology
Frontend Developer
June 20, 2026 – Present
SchemaSense-AI
January 20, 2026 – Present
🧠 AI-powered multi-database analyzer & query engine built with LangGraph and Groq. Features natural language-to-DB querying, End-to-End Encryption (AES-256), and a premium Glassmorphism UI. Supports MongoDB, PostgreSQL, MySQL, SQL Server, and SQLite.
View ProjectNeuroQueue-AI-Powered-Intelligent-Message-Queue
December 14, 2025 – December 14, 2025
NeuroQueue is an AI-native message broker that transforms standard queues into intelligent decision engines. It uses Generative AI (Llama-3) and Semantic Search (ChromaDB) to understand the meaning and urgency of every message, enabling smart routing, automated risk detection, and dynamic prioritization without manual rules.
View ProjectDatabase-AI-Agent
December 7, 2025 – December 14, 2025
MongoChat is a smart, conversational assistant for your MongoDB database. Instead of writing complex query code, you can just talk to your data in plain English. It understands your database structure and helps you find what you need instantly.
View ProjectHRM-AI-Agent
November 1, 2025 – November 18, 2025
An intelligent AI-powered Human Resource Management assistant that provides personalized responses to employee queries. Built with FastAPI and Mistral AI, the system retrieves real-time data from the database based on the logged-in user's credentials and generates contextual, personalized answers.
View ProjectCRUD-Operation-Using-MERN
January 11, 2023 – January 11, 2023
I have created User Management System using React Js and Node js with MongoDB Database which allow you to Perform Create Read Update Delete
View ProjectDSA-Question
December 27, 2022 – October 23, 2023
All DSA Question covered all DSA concept like Array string and non linear Data Structure and Algorithm Linked List Tree Stack and Queue and Tree
View ProjectText_Editor
April 19, 2022 – May 9, 2024
I create a simple Text Editor using JAVA swing and AWT there you can write read and edit to your text and save as a file .txt extension
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards AI/ML and backend/database solutions, with only one explicit frontend project (CRUD-Operation-Using-MERN). While this demonstrates versatility, it suggests a potential misalignment with a dedicated 'Frontend Developer' target role. The breadth of technologies (Python, Java, C++, MERN) indicates adaptability but also a lack of deep specialization in frontend-specific frameworks beyond basic React. The current role as a Frontend Developer is a positive, but the personal projects do not strongly reinforce a frontend-centric passion or deep expertise.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.