PAVAN B
Technical Support Engineer • Bengaluru, Karnataka • p**************@gmail.com • +91*******826 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Technical Support Engineer with 0.3 years of experience in software support and cloud environments. GATE 2026 qualified and Java Full Stack trained, with hands-on internship experience troubleshooting Java/JSP applications, debugging front-end and database issues, and documenting technical solutions. Skilled in incident triage across voice, chat and email, Git-based version control, ServiceNow ticketing, and basic AWS cloud concepts.
Technical Skills
Programming Languages: Java,Python
Web Technologies: HTML,CSS,JSP
Databases: SQL,MySQL,Database Design
Cloud and DevOps: AWS,Cloud Fundamentals
Data and Analytics: Natural Language Processing,TF-IDF,MFCC,Support Vector Machine,Random Forest
Tools and Methodologies: Git,GitHub,ServiceNow,Remote Desktop,Ticketing Systems
Operating Systems: Windows 10,11,Linux basics
Networking: TCP,IP,DNS,VPN
Work Experience
JSpiders
Bangalore
Technical Support Intern (Java Full Stack)
02/2026 – 05/2026
Internship supporting Java full-stack training projects; worked on application testing, defect triage, and handover documentation for instructor-led modules.
Tech Stack: Java, JSP, HTML, CSS, MySQL, Git, GitHub, ServiceNow, Ticketing Systems, Remote Desktop, Browser DevTools, Log Analysis
- Diagnosed and resolved software defects across a 4-month application testing cycle for Java/JSP projects using Java, JSP, HTML/CSS and MySQL; reproduced issues locally and validated fixes to improve application stability.
- Collaborated with development instructors to perform root-cause analysis on front-end rendering and backend query issues using browser dev tools, server logs and SQL queries; produced clear reproduction steps for developers.
- Maintained version-controlled project records with Git and GitHub; organized commit history and authored handover notes for two project modules to streamline module transfers between teams.
- Triaged user incidents via voice, chat and email channels; used ticketing systems and remote desktop tools to replicate user environments, document troubleshooting steps and track progress until resolution.
- Executed test case reproduction and debugging for Java backend modules, using log analysis and local deployments to identify memory or SQL-related failures and suggest targeted fixes.
- Authored technical documentation and troubleshooting guides covering common defects, deployment steps and remediation procedures to reduce repeat issues and accelerate onboarding for new interns.
Projects
Emotion Detection Using Text & Speech
Tools Used: Python, NLP, TF-IDF, MFCC, Support Vector Machine, Random Forest
- Built a machine learning pipeline to classify emotions from text and speech inputs using TF-IDF for text features and MFCC for speech features; trained SVM and Random Forest classifiers and compared model performance.
- Debugged NLP preprocessing and feature-extraction modules across three processing stages, improving reliability of input normalization and end-to-end prediction stability.
Education
KNS Institute of Technology
B.Tech, Computer Science Engineering • 2022 – 2026
Shantinikethan PU College
PUC Science (XII) • 2020 – 2022
S.E.S English Medium School
SSLC (X) • 2018 – 2020
Certifications
AWS Cloud Skills — Magic Bus India Foundation
Java Full Stack — JSpiders
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