Nagesh J
The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Software Engineer Preferred Title
$25.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Count of Messages/Day 0.3
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 54h PST, 66h UTC
- Software Engineering Process 3.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 3.0/5
- Logical Thinking 4.0/5
- Technical Strength 4.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 3.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 3.0/5
- English Communication 3.0/5
- Documentation 3.0/5
- Desktop Linux
- Phone Android
- Member Since Dec 12, 2023
- Profile Last Updated Nov 16, 2023
- Last Activity Feb. 11, 2024, 4:58 p.m. UTC
- Location India
Profile Summary
Experienced software developer specializing in building robust financial and e-commerce systems. Proven expertise in designing high-performance backend systems, API, and database solutions.
Skills
Total Experience: 2+ years
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 54h PST, 66h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
10 - 22
10 - 22
10 - 22
10 - 22
10 - 22
10 - 22
PST
03 - 15
03 - 15
03 - 15
03 - 15
03 - 15
03 - 15
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- English Communication
- Documentation
Experience
Software Engineer
Employment
Sep 2021 - Sep 2023
Polybite Company
Ecommerce Industry
Project: Ecommerce App
- Built a robust and scalable backend using the Django framework & Python for efficient data processing and API development.
- Implemented ExpressJS for server-side scripting, enhancing the backend with a fast and minimalistic web application framework.
- Designed and utilized PostgreSQL as the database management system for secure storage and management of data.
- Integrated NodeJS and ReactJS for a responsive and dynamic user interface.
- Implemented GraphQL for efficient data querying and optimized network usage.Deployed services On AWS.
Software Engineer
Contract
Jan 2022 - Aug 2022
AECC Analytrics Company
Finance Industry
Project: Stock Backtesting Infrastructure
- Integrated with Interactive Brokers API, Yahoo Finance API, and Polygon.io API for real-time and historical market data retrieval.
- Utilized databases for efficient storage and retrieval of large volumes of financial data.
- Implemented a library of technical indicators and pattern recognition algorithms for developing and analyzing trading strategies using core Python & its modules.
- Created a user-friendly interface for inputting and customizing trading strategies using React.
- Displayed backtesting results, performance metrics, and visual representations of trades and signals using FastApi & Postgresql.