Summary
Overview
Work History
Education
Skills
Certification
Languages
Projects
Timeline
Generic

Likith Gorrupothu

Vizianagaram

Summary

As a Computer Science graduate with a strong foundation in HTML5,CSS3,Python and C. I am skilled in HTML5 application development. Python programming, and CSS flexbox. With a GPA of 7.29 in my B.Tech program and a track record of academic excellence. I offer strong technical skills coupled with a dedication to ongoing learning and skills expansion. Additionally, my collaborative nature, time management abilities. and resilience in the face of failure make me a well-rounded professional. I am seeking an entry-level position where I can leverage my technical skills to contribute to a company's mission.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Back-End Engineering

LYFT
01.2023 - 02.2024
  • I just completed Lyft's Back-End Engineering on Forage
  • In the simulation I:
  • Completed the Back-End Engineering job simulation, taking over development of an unfinished project for the Lyft Rentals team.
  • Drafted a UML class diagram representing a new reorganized architecture.
  • Performed structured design reviews, programmed systems, wrote unit tests and reviewed system test results.

Education

Bachelor of Science - Computer Science Engineering

Andhra University
Visakhapatnam, AP

Intermediate - MPC

Sasi Junior College
Visakhapatnam, AP

Certificate of Higher Education - APSSC

Sri Chaitanya Techno School
Bobbili, AP

Skills

  • Python
  • DBMS
  • Web development
  • Basics of Java
  • HTML
  • CSS
  • Microsoft Office
  • Problem Solving and Critical Thinking
  • Time Management and Flexibility

Certification

  • HTML5, CSS3, Flexbox, Prep Insta
  • Python Programming, Millennium Software Solutions
  • HTML5 Application Development Fundamental Microsoft Technology Associate via Certiport - 2022, 4QM5-XLcG

Languages

Telugu
First Language
Hindi
Elementary (A2)
A2
English
Advanced (C1)
C1

Projects

FACE EMOTION RECOGNITION 

This project implements real-time facial emotion detection using the  libraries. It captures video from the webcam, detects faces, and predicts the emotions associated with each face. The emotion labels are displayed on the frames in real-time.In  our project we use Deeplearning to identify seven key human emotions:anger,disgust,fear,happiness,sad,surprise,neutral.

Timeline

Back-End Engineering

LYFT
01.2023 - 02.2024

Bachelor of Science - Computer Science Engineering

Andhra University

Intermediate - MPC

Sasi Junior College

Certificate of Higher Education - APSSC

Sri Chaitanya Techno School
Likith Gorrupothu