Highly motivated and hard-working Computer Science student at VIT University with a keen interest in Software Engineering. Seeking an internship to gain practical experience in developing software solutions and exploring cutting-edge technologies. Excellent analytical and problem-solving abilities, solid background in programming languages such as Python and Java, and eager to bring my ability to develop, test, and maintain software to a dynamic team that values innovation.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Web Master
ACM CLUB
10.2023 - Current
Developed the front page for new events using React, enhancing user experience and interface functionality.
Tech Lead
ROBOTICS CLUB
09.2023 - Current
Conducted and organized events, managing logistics and ensuring successful execution.
B.Tech - CSE(Artificial Intelligence And Robotics)
Vellore Institute of Technology
Chennai
06.2026
12TH -
St.John's Public School
Chennai
06.2022
10TH -
DAV Public School
Chennai
06.2020
Skills
Python
Java
JavaScript
C
C
ReactJS
Redux
HTML
CSS
Bootstrap
Django
Bitbucket
JIRA
Jenkins
MySQL
Oracle
Azure
AWS
Linux
Windows
MacOS
Accomplishments
Secured first place in Code Quest (June 2023) and third place in Coding Olympiad (September 2023).
Solved 200+ problems on LeetCode.
Certification
Azure AI Fundamentals
Projects
Automation of System health check and monitoring: As part of this project business want to know the health check status of all SIT & UAT environment details and fix the issues in case of any environment is down before users started testing. Business also want monitoring statistics of system in mail. Automated to generate all provided environment health check status in excel. Based on checking we can fix if any environment is down. Automated to provide all db stats in excel. This automation will provide monitoring statistics of system on daily basis in mail. Tech used: Java, JDBC, Linux, Oracle
Face Recognition based Attendance System: Developed a robust attendance system utilizing advanced face recognition technology to automate and streamline the process of tracking attendance. The system employs computer vision algorithms to identify and verify individuals' faces in real-time, ensuring accurate and efficient attendance recording. Tech used: TensorFlow, Dlib, OpenCV, Django, GitHub Link
Fake Account Detection: Designed and implemented a web-based system to detect fake accounts on Instagram, leveraging machine learning and data analysis techniques. The system analyzes various account features and activities to identify patterns indicative of fake profiles. Tech used: PyTorch, Pandas, Django, AWS EC2, GitHub Link
Timeline
Web Master
ACM CLUB
10.2023 - Current
Tech Lead
ROBOTICS CLUB
09.2023 - Current
B.Tech - CSE(Artificial Intelligence And Robotics)