Hello, I'm
Pujitha Mule

Software Engineer · Backend & Generative AI

Final-year Computer Science Engineering student at VIT-AP University with hands-on experience in backend development, scalable APIs, real-time systems, Retrieval-Augmented Generation, and cloud technologies. IEEE-published co-author & AWS Certified Cloud Practitioner.

Contact Me Resume ↗ GitHub LinkedIn

At a Glance

Academic

8.65 CGPA B.Tech CSE — VIT-AP University

Research

IEEE Published Digital Twin Technology — ETCC 2025

Cloud

AWS Certified Cloud Practitioner (2025)

Generative AI

RAG · AI Agents pgvector · FAISS · Semantic Search

Projects

6+ Production Apps RAG · AI Agents · Semantic Search

About Me

Building scalable backend systems and solving real-world software challenges.

I am a final-year Computer Science Engineering student at VIT-AP University (graduating May 2026). My primary focus is backend engineering, REST API development, distributed systems, cloud technologies, and Generative AI — particularly Retrieval-Augmented Generation (RAG) and AI agent architectures. I enjoy designing reliable systems, optimizing performance, and building applications that deliver measurable impact. I have co-authored and published research at an IEEE international conference on Digital Twin technology, and hold certifications in AWS Cloud, MERN Full Stack, and Data Science.

Technical Skills

Organized by domain for clarity.

Languages

Java Python JavaScript SQL

Backend & APIs

Spring Boot Node.js Express.js REST APIs WebSockets Flask

Frontend

React.js HTML5 CSS3

Databases & Caching

MySQL MongoDB Redis

Generative AI

RAG AI Agents FAISS pgvector Embeddings Semantic Search Gemini API

Cloud & Tools

AWS (EC2, S3, IAM) Git & GitHub Postman VS Code

Core CS Concepts

Data Structures & Algorithms OOP DBMS Operating Systems Computer Networks Software Engineering

Research Publication

Published at IEEE International Conference — ETCC 2025

📄 IEEE Conference Publication · ETCC 2025

Investing in the Virtual World: Why Digital Twins are the Next Big Opportunity

Co-authored research investigating Digital Twin systems for real-time monitoring, predictive analysis, and operational optimization. Analyzed applications across healthcare, networking, and aviation through an extensive literature review and industry case studies.

View on IEEE Xplore ↗

Technical Experience

Backend & AI Systems Development

2025 – Present

Built 6+ backend and AI applications using Java, Spring Boot, Python, Node.js and RAG architectures.
Developed real-time collaboration systems using Socket.IO and WebSockets.
Designed Retrieval-Augmented Generation (RAG) applications using FAISS, pgvector, embeddings, semantic search and Gemini API.
Built AI Sales Assistant with planning, memory, tool orchestration, and agentic reasoning.
Implemented JWT authentication, Redis caching, and cloud-ready architectures on AWS.
Co-authored and published research on Digital Twin technology at an IEEE international conference.