Pavan Reddy G
The star rating is calculated by averaging the reviews provided by all clients the talent has worked with for a significant amount of time.
If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.
If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.
Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.
If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.
Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
Software Engineer Preferred Title
$19.00 /hr $ 28.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Worksession Approval 100.0%
- Average Response Time 12.0 hours
- Average Count of Messages/Day 0.4
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 24h PST, 35h UTC
- Earned Hours 7.50
- Code Quality 60%
- Soft Skill Attributes 60%
- Expertise 2/3
- Coding Challenges 60%
- No. of Lifelong Learning Projects 2
- No. of Coding Challenges Completed 2 More details
- Desktop Mac
- Phone Android
- Tablet iPad
- Member Since Feb 26, 2019
- Profile Last Updated Jan 29, 2023
- Last Activity Feb. 26, 2023, 1:55 a.m. UTC
- Location India
Profile Summary
As a versatile software engineer with experience in building scalable web applications, I have demonstrated a proven ability to deliver high-impact results in fast-moving startups and building 0 -> 1 products. Skilled in React.js, Javascript, Ruby, Spring Boot, Java, HTML, Github, and CSS, I am well-versed in modern web development technologies.
Skills
Total Experience: 3+ years
Java (2E, 1Y)
2 experiences, 1 yearMachine learning (4E, 1Y)
4 experiences, 1 yearReact (2E, 1Y)
2 experiences, 1 yearSpring (1E, 1Y)
1 experience, 1 yearRedux (1E, 1Y)
1 experience, 1 yearContinuous Integration (1E, 1Y)
1 experience, 1 yearPython (2E, < 1Y)
2 experiences, less than a yearJavaScript (2E, < 1Y)
2 experiences, less than a year
Weekly Availability
Timezone Overlap Per Week: 24h PST, 35h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
03 - 15
14 - 18
14 - 18
14 - 18
14 - 18
14 - 18
03 - 12
PST
20 - 08
07 - 11
07 - 11
07 - 11
07 - 11
07 - 11
20 - 05
Vetting
- Interview Data
- Agile Development Process
- Productivity and Responsiveness
- Teamwork
- Software Engineering
- Logical Thinking
- Technical Strength
- Intellectual Merit
- English Communication
- Documentation
- System Design
- Coding Challenges60%
- Algorithms Score60%
- General Score60%
- Easy Algorithm
- Correctness60%
- Performance60%
- Medium Algorithm
- Correctness60%
- Performance60%
- Hard Algorithm
- Correctness60%
- Performance60%
- Expertise2/3
- Design Patterns and Architectures2/3
- Debugging2/3
- Stack Traces2/3
- Testing2/3
- System Administration2/3
- Soft Skill Attributes60%
- Entrepreneurial60%
- Whole Brained60%
- Divergent Thinking / Creativity60%
- Design Ability60%
- Empathy60%
- Project Management Ability60%
- Security60%
- Code Quality60%
- Complex Logic60%
- Models60%
- Controllers60%
- Templates60%
- APIs60%
- Training/Testing Data Models60%
- Code Readability60%
- Ongoing Evaluation
- Number of Lifelong Learning Project2
- Number of Coding Challenge Completed3
Experience
Full Stack Developer
Internship
Jan 2019 - Jul 2019
ZeMoSo Technologies Company
Technology Industry
Project: Org - Goal tracker
- Continuous Integration
- Java
- Spring
- Redux
- React
- Created a prototype for managing OKRs (Objectives, Keys, Responsibilities) of the organization with end to end integration for tracking goals of individual teams and corresponding goals.
- Added the continuous integration flow for the MicroServices with Kubernetes and Docker.
- Technical Stack: Java, Spring, React, Redux, CSS, Typescript, Javascript, Docker, Kubernetes, Docker
Developer
Internship
May 2018 - Jul 2018
My Money Mantra Company
Finance Industry
Project: Predictive analytics
- Machine learning
- Collaborated with the analytics team remotely to work on medium-sized financial data sets (ranging up to 1 GB).
- Used Regression and other Machine Learning models for predictive analytics.
Developer
Internship
May 2018 - Jul 2018
Indian Institute Of Technology, Bhilai Company
Technology Industry
Project: Cryptanalysis
- Java
- Worked on Cryptanalysis on a Post-Quantum Cryptographic algorithm.
- Designed an algorithm to perform a theoretical attack on the Compact LWE scheme which will be able to successfully recover the message from the cipher-text without the secret-key in Java.
Student
Course Project
Mar 2018 - May 2018
Sreenidhi Istitute of Science and Technology Company
Technology Industry
Project: Seedling Species Classification
- Python
- Machine learning
- A Classification algorithm was built to classify species of the plant-based on the images of seedlings at different states. The physical resolution of the RGB image dataset was around 10 pixels per mm
- Technical Stack: Machine Learning, Python
Developer
Passion Project
Jan 2018 - Feb 2018
Sreenidhi Istitute of Science and Technology Company
Technology Industry
Project: Forest Fire Prediction
- Python
- Machine learning
- In this project, a neural network was trained, with custom layers in the hidden network.
- The final output layer is integrated with the mailer API to notify/warn users in case of any instance of fire found in the stream of live Images.
- Technical Stack: Python, Machine Learning
Student
Course Project
Jun 2017 - Aug 2017
Sreenidhi Istitute of Science and Technology Company
Technology Industry
Project: Book Recommendation Engine
- JavaScript
- Machine learning
- A recommendation engine that asks the user to rate the books he read.
- It then predicts the expected ratings for remaining books which user might give in future and shows recommendations based on KNN similarity score.
- Technical stack: JavaScript, Machine Learning
Developer
Passion Project
May 2016 - Jun 2016
Personal Project Company
Technology Industry
Project: TacNews -website to integrate news from different sources
- JavaScript
- React
- In this project, the problem of a user navigating to multiple different sources for different news articles is solved by integrating them on to one website by using the News API.
- Used multiple free News Providers API's and integrated them on the UI.
- Technical Stack: JavaScript, React
Qualifications
Education
Sreenidhi Institute of Science and Technology(JNTU)
Aug 2015 - May 2019
Bachelor of Technology in Computer Science (Computer Science)
Courses
Data Analytics Diploma
Jul 2017 - May 2018
IBM
- Data Analytics
Machine Learning
Mar 2018 - Apr 2018
Coursera
- Artificial intelligence
- Machine learning
GIAN Course on Social and Information Network Analysis: Problems, Models and Machine Learning Methods
Dec 2017 - Dec 2017
IIT Hyderabad.
- Artificial intelligence
- Machine learning
Reviews
Interview Reviews
BaiduVentures
Going with Radhika due to a strong primary reference and her past experience with scrapers.