Subbarao Guggilam

Subbarao Guggilam

Engineering Intelligent Solutions for Tomorrow


About

I’m a final-year Computer Science Engineering student specializing in Artificial Intelligence, passionate about building intelligent and practical technology solutions. I enjoy working with Java, SQL, web technologies, and AI-driven applications, with a strong interest in software development, automation, and emerging technologies. Through academic projects, internships, and hackathons, I’ve gained hands-on experience in developing solutions that address real-world problems. I’m always eager to learn new technologies, solve challenging problems, and collaborate with others to turn ideas into impactful digital solutions.

Skills
Python
Java
Google Cloud
Gemini
MongoDB
PostgreSQL
System Design
Experience

AI Automation & Agent Engineering Intern

DataValley Inc.

May 2026 to Jun 2026
  • Developed and experimented with AI agents and agentic workflows to automate repetitive and multi-step business processes.
  • Designed prompt engineering strategies to improve the accuracy, consistency, and reliability of AI-generated outputs.
  • Built workflow automation solutions by connecting AI models, APIs, and business logic to reduce manual intervention.

AI & Cloud Intern

Edunet Foundation

Jul 2025 to Aug 2025
  • Gained hands-on exposure to Artificial Intelligence, Cloud Computing, and IBM Cloud technologies through a structured 4-week internship.
  • Worked with IBM Cloud Platform and explored cloud-based approaches for deploying and managing applications.
  • Developed practical understanding of AI concepts, machine learning workflows, and cloud-based AI solutions.
Projects

BustOutSentry

Developed BustOutSentry, an AI-powered credit risk and fraud detection system designed to identify first-party bust-out fraud and credit-card over-limit risk using customer transaction behavior, credit utilization, spending patterns, payment activity, and 48-hour temporal features. The system combines XGBoost machine learning, SHAP explainability, behavioral rules, and a 0–100 risk scoring engine to generate interpretable risk alerts, with Kafka, PostgreSQL, APIs, React, and Docker supporting real-time event processing and monitoring.

Python
XGBoost
SHAP
Scikit-learn
Apache Kafka
FastAPI
React.js
Vite
PostgreSQL
Docker
NetworkX

ERP Management System

Developed a role-based Enterprise Resource Planning (ERP) system to streamline student, faculty, and administrative operations. Implemented secure authentication, user management, attendance tracking, and centralized data management using a relational database. Designed responsive web interfaces and integrated backend modules for efficient information processing.

Java
JSP
Servlets
JDBC
MySQL
HTML
CSS
JavaScript
Bootstrap
Maven
Education

Bachelor in Technology

Narasaraopeta Engineering College · 8.15

Sept 2023 to Jul 2027
Subbarao Guggilam · DevFest Hyderabad 2026