Nani Yadav

Résumé

Motivated B.Tech Computer Science (Data Science) student with strong skills in Java, Python, Data Structures Algorithms, REST API development, backend engineering, SQL, and AI-powered application development. Experienced in building scalable full-stack applications using Java, Python, React.js, Node.js, Express.js, and MongoDB.

Résumé, links and contact below

About

Motivated B.Tech Computer Science (Data Science) student with strong skills in Java, Python, Data Structures Algorithms, REST API development, backend engineering, SQL, and AI-powered application development. Experienced in building scalable full-stack applications using Java, Python, React.js, Node.js, Express.js, and MongoDB.

Passionate about solving real-world problems through software engineering, machine learning, and cloud technologies. Developed multiple database-driven web applications using Python and Flask. Strong understanding of backend development, relational databases, and SQL. Passionate about scalable software systems, cloud technologies, and continuous learning. Experienced with Git and GitHub for version control and collaborative development.

Education

B.Tech in Computer Science and Engineering (Data Science)

Anurag University, Hyderabad

01/07/202301/06/2027

Intermediate (MPC)

Gauthami Jr College

ICSE

Sujatha School

Skills

Java

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Python

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JavaScript

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C

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HTML5

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CSS3

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JavaScript

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React.js

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Node.js

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Express.js

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Java

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Python

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JWT Authentication

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REST APIs

✦

MySQL

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MongoDB

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Data Structures & Algorithms

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Object-Oriented Programming

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DBMS

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Operating Systems

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Computer Networks

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Software Engineering

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Git

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GitHub

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VS Code

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Analytical Thinking

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Problem Solving

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Team Collaboration

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Communication

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Adaptability

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Time Management

✦

Quick Learning

✦

Things I have built

AI Text Summarization System

Developed a full-stack AI-powered text summarization application that generates extractive and abstractive summaries from text, PDF, and DOCX files. Implemented secure user authentication and authorization using JWT, enabling protected access to summarization history and user-specific data. Built RESTful APIs using Express.js for document upload, text processing, summary generation, and history management. Integrated Groq AI API for abstractive summarization and implemented an extractive summarization algorithm for efficient text processing. Designed a MongoDB database to securely store user accounts and summary history for quick retrieval and management. Implemented file parsing for PDF and DOCX documents, along with input validation, exception handling, and responsive user interface for improved usability.

React.jsNode.jsExpress.jsMongoDBJWTGroq AI API

Certifications

Let’s make something good.

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