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Lawrence K - Apache Kafka developerLD Talent logo

Lawrence K

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.
Full Stack Developer Preferred Title
$15.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview Experiences LD Experiences Qualifications Vetting
Overview
Basic Summary
LD Talent History
  • Worksession Approval 62.0%
  • Average Count of Messages/Day 1.1
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 30h PST, 34h UTC
  • Earned Hours 2.50
Interview Scores (3.5/5)
  • Software Engineering Process 4.0/5
  • Design Practice 3.0/5
  • Design Theory 3.0/5
  • Technical Breadth 4.0/5
  • Logical Thinking 4.0/5
  • Technical Strength 4.0/5
  • System Design 3.0/5
  • Productivity and Responsiveness 3.0/5
  • Teamwork 4.0/5
  • Agile Development Process 3.0/5
  • Intellectual Merit 4.0/5
  • English Communication 3.0/5
  • Documentation 3.0/5
Talent's Devices
  • Desktop Windows・Linux
  • Phone Android
  • Tablet Android Tablet
General
  • Member Since Jul 30, 2023
  • Profile Last Updated Feb 20, 2024
  • Last Activity Nov. 21, 2024, 1:24 p.m. UTC
  • Location Kenya
Profile Summary
As a seasoned software engineer, My expertise spans various sectors. In the fintech realm, I've honed skills crucial for building innovative solutions. My expertise lies in developing secure and highly concurrent systems capable of handling large transaction volumes. I've successfully engineered a seamless multichannel payment gateway. This system addresses diverse merchant needs, offering robust payment collections and payouts through various channels—be it banks, cards, or mobile money.
Skills
Total Experience: 4+ years
  • Apache Kafka (4Y)

    4 years of experience
  • Nodejs (4Y)

    4 years of experience
  • Redis (4Y)

    4 years of experience
  • Microservices (2E, 4Y)

    2 experiences, across 4 years
  • Nest.js (4Y)

    4 years of experience
  • .NET (4Y)

    4 years of experience
  • Akka (4Y)

    4 years of experience
  • Django (2E, 2Y, 1C)

    2 experiences, across 2 years, with 1 course
  • Python (1C)

    1 course
  • Typescript (1C)

    1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 30h PST, 34h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
10 - 18
17 - 21
17 - 21
17 - 21
17 - 21
17 - 21
12 - 18
PST
03 - 11
10 - 14
10 - 14
10 - 14
10 - 14
10 - 14
05 - 11
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
Full Stack Developer
Employment
Mar 2021 - Present
Jambopay Company
Technology Industry
Project: Jambopay Core v2
  • Apache Kafka
  • .NET
  • Nodejs
  • Microservices
  • Akka
  • Nest.js
  • Redis
  • Utilized Nest.JS, a robust Nodejs framework, to effortlessly develop enterprise-level applications. Its modular architecture and TypeScript support streamlined development and ensure scalability.
  • Employed Nodejs for concurrent HTTP request handling, seamlessly integrating with diverse payment providers to enhance transaction processing efficiency and ensure robust performance.
  • Leveraged Akka.NET actors in C# for streamlined concurrency in transaction processing, yielding notable performance gains through efficient parallel execution and resource management.
  • Implemented Apache Kafka as a transport layer in Nodejs microservices, fostering efficient communication and event-driven architecture, enhancing scalability, and ensuring reliable data streaming.
  • Optimized performance using Redis, a high-performance in-memory data store. Leveraging Redis caching and data structures improved speed, scalability, and responsiveness in the application.
Full Stack Developer
Contract
Jul 2022 - Dec 2022
Kurasa Africa Company
Education Industry
Project: Kurasa Backend Uno
  • Django
  • Python
  • Microservices
  • Utilized Django Python framework for rapid, secure, and maintainable website development. Its built-in features, security measures, and clean design facilitated efficient and robust web applications.
  • Implemented microservices in Django, segregating concerns for enhanced modularity and scalability. This approach facilitated independent development, deployment, and maintainability.
LD Experience
Client Projects
Developer
Contract
Mar 2024 - Mar 2024
LD Talent Client's Company/Project
  • Django
    Video Projects
    How to implement django-tenant-schemas with a fixed URL
    Sep 2020 - Jan 2022
    Frontend Developer
    Technology
    • Apache Kafka
    • Nodejs
    • Redis
    • Microservices
    • Nest.js
    • .NET
    • Akka
    • 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
    • Apache Kafka
    • Nodejs
    • Redis
    • Microservices
    • Nest.js
    • .NET
    • Akka
    • 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
    Qualifications
    Education
    Kenyatta University
    Sep 2017 - Dec 2022
    B.Sc (Computer Science)
    Courses
    LPIC 1 Linux System Administration
    Apr 2019 - Sep 2019
    Kenyatta University
    • Django
    • Typescript
    • Python
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