DILIP GOPI CHAND TADEKORU

Boca Raton,FL

Summary

Computer Science graduate with experience in developing and maintaining software applications. Skilled in Python, C, C++, and machine learning. Able to design flowcharts, write clean code, and follow the full software development life cycle (SDLC). Worked on projects involving face recognition, sentiment analysis, and cloud systems for healthcare. Good at debugging, testing, and improving software based on user feedback.

Overview

Certification

Work History

Software Engineer

Community Dreams

Sebring, FL

05.2025 - Current

As a Software Developer, responsible for executing the complete Software Development Life Cycle (SDLC), from initial concept and requirement gathering to deployment and maintenance. Key duties include analyzing user needs and designing software solutions to meet those needs while ensuring functionality, scalability, and compliance with industry standards.

Key Responsibilities:

Execute all phases of the SDLC to deliver high-quality software solutions.
Design and document flowcharts, layouts, and software specifications to capture business and technical requirements.
Write clean, efficient, and testable code following established programming standards.
Produce technical specifications and determine the feasibility and impact of software features.
Integrate various software components and third-party tools into cohesive, fully functional systems.

Education

Master of Science - Computer And Information Sciences

Florida Atlantic University

Boca Raton, FL

05-2025

Bachelor of Science - Computer Science

Sathyabama Institute Of Science And Technology

Chennai, IND

05-2022

Skills

Programming languages: Python, Java, C, C
Web Technologies: HTML, CSS, JavaScript

Tools and platforms: Microsoft Office
Concepts: Machine learning, object-oriented programming, frontend development

Certification

Programming with Python – Internshala (May 2020)
Frontend Development - NXT Wave ( April 2020)
HTML - Coursera (May 2020)
Core Java - Teks Academy (March 2023)

Projects

Face Recognition Using Laplacian Faces
Built a facial recognition system using Laplacian algorithm to enhance image analysis and identification.

Tools used: JFrame, JTextField, JButton, JLabel, JTextArea

Drug Recommendation System Based on Sentiment Analysis.
Analyzed user feedback to recommend effective drug treatments based on sentiment patterns.
Secure G-Cloud Based Framework for Government Healthcare Services.
Developed a cloud-based platform to assess user eligibility for government health schemes.

Tools Used:

Coding Language: Java

IDE: Netbeans

Backend: MySQL

Timeline