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John Doe: Software Engineering Graduate, Lecture notes of Job Interviewing Techniques and Skills

This curriculum vitae showcases john doe's qualifications and experience in computer science. it details his academic achievements, including a b.tech in cse with a high cgpa, and his project experience in website development and automotive engineering tool development. his technical skills encompass programming languages (python, java, c, c++), web development technologies (html, css, javascript), and database management (mysql). the document also highlights his participation in various technical events, certifications, and extracurricular activities, demonstrating a well-rounded profile suitable for a software engineering role.

Typology: Lecture notes

2024/2025

Available from 04/24/2025

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John Doe
Email : xxxxxxxx@gmail.com
Contact : +91-xxxxxxxxxx
Seeking a challenging position in the software industry where I can leverage my computer science
background, problem-solving skills, and passion for technology to contribute to innovative projects and drive
business success. Eager to grow professionally in a dynamic and collaborative environment.
Course
College/School
University/Board
Pass Out
Year
Percentage
/CGPA
B.Tech.
(CSE)
Aditya Institute of
Technology and
Management , Tekkali
JNTUGV,Vizianagaram
2025
9.84
(CGPA)
Intermediate
(MPC)
Vihan Junior
College,Vishakapatnam
Board of Intermediate
Education, Andhra Pradesh
2021
98.1 %
SSC
Bradlaugh
School,Kotabommali
Board of Secondary
Education, Andhra Pradesh
2019
10.0
Programming : Python, Java, C,C++
Development : HTML, CSS, Bootstrap,JavaScript
Database : MySQL
Operating Systems : Windows
Machine Learning-Based Colorization of Black and White images
"Machine Learning Based Colorization of Black and White Images" is an innovative project that employs
advanced deep learning techniques to transform grayscale images into colorized versions. The project’s core
technology is based on neural networks, specifically Convolutional Neural Networks (CNNs) or Generative
Adversarial Networks (GANs), which are trained on extensive datasets containing paired grayscale and color
images. Through this training, the model learns to accurately predict and apply colors to grayscale inputs. The
solution is seamlessly integrated into an Android application, providing a convenient and user-friendly
interface for users. By simply uploading a black and white image, users can utilize the app to process the
image through the trained model and receive a vibrant, colorized version in real-time. This integration offers
a practical tool for anyone looking to add color to their old black and white photos, making the technology
accessible for on-the-go use.
Michigan Motors LLC : Website Development
Technologies used: HTML,CSS,JavaScript,JSON,XML,Node js,Java
Description:
Collaboratively designed and developed Michigan Motors LLC's website, enhancing user experience with
responsive design. Implemented key features like "Build and Price" for vehicle customization, dynamic
content management, and seamless interactions. Integrated backend services with Node.js and MySQL, and
converted actions into PDFs using Java. Ensured adherence to business objectives and industry standards.
OBJECTIVE
ACADEMIC PROFILE
TECHNICAL SKILLS
PROJECT EXPERIENCE
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John Doe

Email : xxxxxxxx@gmail.com Contact : +91-xxxxxxxxxx Seeking a challenging position in the software industry where I can leverage my computer science background, problem-solving skills, and passion for technology to contribute to innovative projects and drive business success. Eager to grow professionally in a dynamic and collaborative environment. Course College/School University/Board Pass Out Year Percentage /CGPA B.Tech. (CSE) Aditya Institute of Technology and Management , Tekkali JNTUGV,Vizianagaram 2025

(CGPA)

Intermediate (MPC) Vihan Junior College,Vishakapatnam Board of Intermediate Education, Andhra Pradesh

SSC

Bradlaugh School,Kotabommali Board of Secondary Education, Andhra Pradesh

Programming : Python, Java, C,C++ Development : HTML, CSS, Bootstrap,JavaScript Database : MySQL Operating Systems : Windows

Machine Learning-Based Colorization of Black and White images

"Machine Learning Based Colorization of Black and White Images" is an innovative project that employs advanced deep learning techniques to transform grayscale images into colorized versions. The project’s core technology is based on neural networks, specifically Convolutional Neural Networks (CNNs) or Generative Adversarial Networks (GANs), which are trained on extensive datasets containing paired grayscale and color images. Through this training, the model learns to accurately predict and apply colors to grayscale inputs. The solution is seamlessly integrated into an Android application, providing a convenient and user-friendly interface for users. By simply uploading a black and white image, users can utilize the app to process the image through the trained model and receive a vibrant, colorized version in real-time. This integration offers a practical tool for anyone looking to add color to their old black and white photos, making the technology accessible for on-the-go use.

Michigan Motors LLC : Website Development

Technologies used : HTML,CSS,JavaScript,JSON,XML,Node js,Java Description: Collaboratively designed and developed Michigan Motors LLC's website, enhancing user experience with responsive design. Implemented key features like "Build and Price" for vehicle customization, dynamic content management, and seamless interactions. Integrated backend services with Node.js and MySQL, and converted actions into PDFs using Java. Ensured adherence to business objectives and industry standards.

OBJECTIVE

ACADEMIC PROFILE TECHNICAL SKILLS PROJECT EXPERIENCE

TCS - Automotive Engineering and Tool Development |May,2024 - June,

Developed innovative tools to enhance automotive engineering processes, focusing on automation and efficiency. Collaborated with a cross-functional team to deliver solutions that improved system performance and reliability. Gained comprehensive insights into the automotive industry through hands-on experience and industry exposure. ● Completed NPTEL Certification on “Problem Solving through Programming in C” & “Introduction to Machine Learning” issued by Indian Institute of Technology Kharagpur. ● Completed NPTEL Certification on “Python for Data Science” issued by Indian Institute of Technology Madras. ● Participated in technical events like Web Combat and Code Fiesta in Aspire 2k23 held at my college ● Completed a Course on Python Fundamentals provided by Cisco Networking Academy. ● Participated in Unstop events (Flipkart GRID 5.0-Level 1.1 & 1.2,TVS Credit E.P.I.C 5.0,Tata Imagination Challenge 2023,Coca-Cola Disrupt Season 3). ● Participated in Data Analysis using python & Web Development using Django Organised by APSSDC ● Student Community lead, AICTE-Eduskills (Student community lead in Google) in AITAM. ● Won Gold medal in academics in my 1st^ year of B.Tech ● Won Silver medal in academics in my 2nd^ year of B.Tech ● An active member of Developers Club in Student Activity Center in my College ● An active member of NSS as a NSS Volunteer ● Participated in Guinness world Book of records held at Vijayawada(Silicon Andhra) and Telugu Book of record held at Bhadrachalam on behalf of Kuchipudi. Father’s Name : Jack Doe Date of Birth : 13 th^ June 2000 Address : D/no- 10 - 4 - 4, (Village), (Mandal),(District), Andhra Pradesh (State), Pin code: xxxxx. Hobbies/Interests : Listening to music, Dancing Languages Known Language Speak Read Write English (^) ✔ ✔ ✔ Telugu (^) ✔ ✔ ✔ Hindi ____ (^) ✔ ✔ I hereby declare that the details furnished above are true and correct. Date: 11 - 11 - 2024 Insert Signature photo here Place: Tekkali (John Doe)

INTERNSHIP EXPERIENCE

CERTIFICATIONS

CO CURRICULAR ACTIVITIES

EXTRA CURRICULAR ACTIVITIES

PERSONAL DETAILS

DECLARATION