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Alex W - Python developerLD Talent logo

Alex W

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.
Software Engineer Preferred Title
$19.00 /hr $ 28.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences LD Experiences Reviews
Overview
Basic Summary
LD Talent History
  • Worksession Approval 100.0%
  • Average Response Time 3.6 hours
  • Average Count of Messages/Day 2.2
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 28h PST, 56h UTC
  • Earned Hours 53.00
Vetting Summary
  • 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
Talent's Devices
  • Desktop Mac
  • Phone Android
  • Tablet iPad
General
  • Member Since Mar 17, 2020
  • Profile Last Updated Oct 27, 2020
  • Last Activity Jan. 5, 2022, 12:23 p.m. UTC
  • Location Kenya
Profile Summary
I love breaking apart problems and forming a well-thought-out process in solving them. This has influenced my need to lead my clients through requirements analysis, system design and architecture before the start of any project. More often than never, this leads me into not only understanding the problem better understanding the client's business, products, and customers Besides my knack for breaking apart problems, I love working with Python, Java, JavaScript, C++, and many frameworks and too.
Skills
Total Experience: 4 years
  • Python (3E, 3Y)

    3 experiences, across 3 years
  • Python Selenium (1E, 2Y)

    1 experience, across 2 years
  • Jupyter (1E, 2Y)

    1 experience, across 2 years
  • Machine learning (1E, 2Y)

    1 experience, across 2 years
  • Agile (1E, 2Y)

    1 experience, across 2 years
  • AWS EC2 (1E, 1Y)

    1 experience, 1 year
  • DevOps (2E, 1Y)

    2 experiences, 1 year
  • Django (2E, 1Y)

    2 experiences, 1 year
  • GraphQL (1E, 1Y)

    1 experience, 1 year
  • AWS S3 (1E, < 1Y)

    1 experience, less than a year
  • Java (1E, < 1Y)

    1 experience, less than a year
  • Cucumber (1E, < 1Y)

    1 experience, less than a year
  • Spring (1E, < 1Y)

    1 experience, less than a year
  • Jenkins (1E, < 1Y)

    1 experience, less than a year
  • Apollo GraphQL (1E, < 1Y)

    1 experience, less than a year
  • React native (1E, < 1Y)

    1 experience, less than a year
Weekly Availability
Timezone Overlap Per Week: 28h PST, 56h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
09 - 17
09 - 17
09 - 17
09 - 17
09 - 17
09 - 17
09 - 17
PST
02 - 10
02 - 10
02 - 10
02 - 10
02 - 10
02 - 10
02 - 10
Vetting
  • Interview Data
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
Experience
Software Engineer
Employment
Aug 2020 - Present
Bank of America Merrill Lynch Company
Finance Industry
Project: CPM
  • Python
  • Python Selenium
  • Jupyter
  • Agile
  • Machine learning
  • Writing unit tests for existing projects using Python Selenium
  • Experimenting with ensemble models on Jupyter to increase accuracy of Machine Learning models
  • Occasionally playing the role of scrum master on the Agile team
Head of Engineering
Employment
Oct 2019 - Oct 2020
Kakbima Limited Company
Technology Industry
Project: Kakbima Insurance Platform
  • Python
  • AWS EC2
  • GraphQL
  • DevOps
  • Django
  • Developing backend micro-services for an insurance quotes, policy and claims management platform (Python 3, Flask, Django, FastAPI, GraphQL, Apollo Federation, Ariadne, Docker, Jenkins, AWS Ec2, S3)
  • DevOps for setting up pipelines for code quality checks, code linting tests (must be above 8/10), unit tests, nightly functional tests on master branch, and auto deploy on AWS EC2
  • Developed a functional test framework for BDD in Java (spring boot) and Cucumber
  • Used Gunicorn and Nginx for web serving and caching
  • Implemented a payments module using stripe python api and mpesa - daraja api
Website Links
  • https://accounts.kakbima.com/signin
Software Engineer
Internship
Jul 2019 - Sep 2019
Bank of America Merrill Lynch Company
Finance Industry
Project: Internal Remote Aggregator Functional Tests Framework
  • Jenkins
  • Spring
  • Java
  • AWS S3
  • Cucumber
  • Developed a functional test framework for the internal Remote Risk Aggregator (Java, Gradle, Jenkins, Spring boot, Cucumber)
  • Implemented an elastic search proof of concept for an HDFS log files database to ease the search for log files especially when tracing errors
  • Migrated Python modules from py27 to py37 and making sure the modules pass all required unit tests
  • Used AWS S3 as cache for frequently accessed files
LD Experience
Client Projects
Software Developer
Contract
Jul 2020 - Jul 2020
Buffr Client's Company/Project
Technology Industry
  • Python
  • Apollo GraphQL
  • React native
  • DevOps
  • Django
  • Research on the state of the arts WiFI Triangulation technique for accurately measuring room occupancy
  • Implement a K-Nearest Neighbour technique for locating a device connected to different WiFi access points in a building
  • Implementing a WiFi triangulation algorithm for accurately locating a device connected to at least 3 devices in a building
  • Django, Python, React Native, Apollo GraphQL: Developing and maintaining the infrastructure and backend services to power a room occupancy and social distancing mobile application
  • DevOps: Setting up code quality tests and auto-deploy pipelines using jenkins and aws auto deploy
Great experience! Very enthusiastic, responsive and puts a lot of effort into his work. Very dilligent.
Review given by the client for this project.
Coding Challenges
Skill:
  • Python
  • Python Selenium
  • Jupyter
  • Machine learning
  • Agile
  • AWS EC2
  • DevOps
Basic
Sep 2020 - Jan 2022
Basic
Sep 2020 - Jan 2022
Basic
Sep 2020 - Jan 2022
Video Projects
How to implement django-tenant-schemas with a fixed URL
Sep 2020 - Jan 2022
Frontend Developer
Technology
  • Python
  • Python Selenium
  • Jupyter
  • Machine learning
  • Agile
  • AWS EC2
  • DevOps
  • Led user research for a new construction site documentation tool.
  • Hosted workshops to synthesize user insights into design requirements.
  • Designed 3D concepts and built prototypes to investigate new tool form factors.
  • Researched existing digital solutions and prioritized key features for app release.
Website Links
  • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
  • https://agile-headland-01373.herokuapp.com/
Github Links
  • https://github.com/MainaKamau92/rickandmortycharacters
  • https://github.com/learningdollars/mainak-django-tenant-schemas
LD Ventures
Thea
Sep 2020 - Jan 2022
Frontend Developer
Technology
  • Python
  • Python Selenium
  • Jupyter
  • Machine learning
  • Agile
  • AWS EC2
  • DevOps
  • I used the Django Rest Framework to create a multi tenant API with the aid of the django-tenant-schemas package.
  • I used the Postgres Database as the persistence layer and specifically the PostgreSQL Schemas to ensure that all tenants using the API had their data.
  • I used the REST architecture in designing my API.
  • Researched existing digital solutions and prioritized key features for app release.
Website Links
  • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
  • https://agile-headland-01373.herokuapp.com/
Github Links
  • https://github.com/MainaKamau92/rickandmortycharacters
  • https://github.com/learningdollars/mainak-django-tenant-schemas
Reviews
Client Project Reviews
LD Talent
Did not attempt the project though he accepted the interview.
Buffr
Great experience! Very enthusiastic, responsive and puts a lot of effort into his work. Very dilligent.
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