Mithil H
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
$56.25 /hr $ 110.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Count of Messages/Day 0.2
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 45h PST, 30h UTC
- Software Engineering Process 5.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 5.0/5
- Logical Thinking 5.0/5
- Technical Strength 5.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 5.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 5.0/5
- English Communication 5.0/5
- Documentation 3.0/5
- Desktop Windows
- Phone iPhone
- Member Since May 25, 2023
- Profile Last Updated Jun 19, 2023
- Last Activity June 19, 2023, 5:11 p.m. UTC
- Location United States of America
Profile Summary
I have ten years of experience in Python, C++ and Java. I am looking for software engineering opportunities in AI/ML. I have three years of software engineering experience in ChatGPT/AI/ML/Data Engineering/Microservices/Chatbots. I am passionate about AI/ML/Data Engineering. Please checkout my GitHub https://github.com/mithilhari .
Skills
Total Experience: 3 years
Git (2E, 3Y)
2 experiences, across 3 yearsPython (2E, 3Y, 1C)
2 experiences, across 3 years, with 1 courseGo (2Y)
2 years of experienceJavaScript (2Y)
2 years of experienceNodejs (2Y)
2 years of experienceKotlin (2Y)
2 years of experiencescikit-learn (2Y)
2 years of experienceOracleDB (2Y)
2 years of experienceApache Spark (2Y)
2 years of experienceOpen AI GPT-3
GPT-3
HTTP (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 45h PST, 30h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
UTC
15 - 24
15 - 24
15 - 24
15 - 24
15 - 24
PST
08 - 17
08 - 17
08 - 17
08 - 17
08 - 17
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
Passion Project
Apr 2023 - May 2023
Self Company
Technology Industry
Project: ChatBot
- Created a Python chat bot with simple text interface on CLI to load documents from external source and process with existing Large Language Model. GPT-3 and Open AI GPT-3 are used for the LLM.
- This ChatBot can be passed any documents that can be indexed by the LangChain framework.
Software Engineer (Cloud)
Employment
Oct 2021 - Oct 2022
Guidewire Company
Technology Industry
Project: Nova Microservices Tool
- I developed a CLI tool for microservice deployment. Using JavaScript, NodeJs, and so on. Go was used for end-to-end tests.
- I used Kotlin and Git for CI/CD pipelines.
Software Engineer (AI/ML)
Employment
Oct 2020 - Oct 2021
Kroll Government Solutions Company
Technology Industry
Project: Unemployment Insurance Fraud Detection
- Developed an incremental data workflow. Used IBM Quality Stage for standardizing features and OracleDB for storing the data. Apache Spark for loading into.
- The feature matrix was generated for the AI model. Scikit-learn was used for the model, and Python as well, and Git for the project.