Zablon M
This talent has passed a rigorous process of technical and soft skills interviews, system design tests, background checks, onboarding exams, and has successfully completed technical and soft skills challenges, or has demonstrated their capabilities through on-platform work.
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
$20.00 /hr $ 24.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Worksession Approval 100.0%
- Average Response Time 1.7 hours
- Average Count of Messages/Day 8.3
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 35h PST, 28h UTC
- Earned Hours 17.00
- No. of Onboarding MCQs Completed 123
- No. of Lifelong Learning Projects 1 More details
- Desktop Windows
- Phone iPhone
- Tablet iPad
- Member Since Feb 29, 2020
- Profile Last Updated Feb 20, 2025
- Last Activity March 28, 2025, 6:47 p.m. UTC
- Location Kenya
Profile Summary
Hi, I am Zablon, a software engineer who specializes in React, Python, WordPress, and Java development. I have done projects in e-commerce, a WordPress website, and a University Student Voting System. I am also developing a sales management system using Java. I am experienced in several frameworks including Django, Reactjs, and Laravel. I have taken courses in HTML, CSS, fundamentals of Java, fundamentals of Python, Digital Marketing, and Machine Learning.
Skills
Total Experience: 6 years
CSS (2E, 2Y)
2 experiences, across 2 yearsPython (3E, 2Y, 1C)
3 experiences, across 2 years, with 1 coursePrompt Engineering
Open AI
Batch Processing
Google Sheets
React Server Components
React
React Hooks
Java (2Y)
2 years of experienceHTML
Wordpress (1C)
1 courseMySQL (2Y)
2 years of experienceJavaScript
Firebase Authentication
Arrays
Data Structures
Space Complexity
Time Complexity
Algorithm Analysis
Arraylist
Firebase Realtime Database
UX Design
Firebase Api
Selenium
UI Design
Beautifulsoup
Tkinter
Prototype
UI Components
Figma
Machine learning (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 35h PST, 28h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
17 - 22
17 - 22
17 - 22
17 - 22
17 - 22
17 - 22
17 - 22
PST
10 - 15
10 - 15
10 - 15
10 - 15
10 - 15
10 - 15
10 - 15
Vetting
- Ongoing Evaluation
- Number of Lifelong Learning Projects1
Experience
Software Engineer
Passion Project
Sep 2024 - Sep 2024
LD Talent Company
Technology Industry
Project: Python Rain Water Challenge Development
- Used Python to implement an algorithm for calculating trapped water between barriers.
- Applied efficient Data Structures, including arrays, to track left and right maximum barriers.
- Utilized ArrayList to dynamically store intermediate values for Algorithm Analysis and computation.
- Performed Algorithm Analysis to optimize time complexity to O(n) and space complexity to O(1).
Designer
Passion Project
Nov 2023 - Nov 2023
Kibabii University Company
Research Industry
Project: Pocket AI Chat
- I used Figma to design my application.
- I learned to prototype, create userflows and how to use UI kit.
- UI Design: Crafted an intuitive, visually appealing interface for optimal user experience.
- UI Components: Developed and integrated sleek, consistent UI components for seamless navigation.
- UX Design: Optimized user flow, ensuring an engaging and intuitive experience throughout.
Full Stack Developer
Passion Project
Nov 2023 - Nov 2023
Kibabii University Company
Technology Industry
Project: AutoBidding Bot
- I used Python to create the the application and Tkinter for my GUI.
- I used Firebase API to integrate and interact with Firebase services, enabling seamless communication between applications and Firebase features.
- I used Firebase Authentication a secure and easy-to-implement solution for user authentication.
- I used Firebase Realtime Database a cloud-hosted NoSQL database that enables developers to store and sync data in real-time across multiple clients.
- I learned web automation using selenium and used Beautifulsoup for web srapping.
Full Stack Developer
Passion Project
Oct 2022 - Dec 2022
Kibabii University Company
Technology Industry
Project: React Portfolio Website
- Build a React Project from scratch.
- Integrated React Server Components to enhance performance, SEO, and data handling.
- Learned to use React Hooks such as useState Hook, Create Carousels/Slides with SwiperJS.
- Intergrated Modern & Responsive Design with CSS3.
- Learned to Deploy my website using Vercel.com.
Java Developer
Contract
Dec 2019 - Jan 2020
Kibabii University Company
Consumer Goods Industry
Project: Point of Sale System
- I used Java to design the components of my system.
- MySQL was used to query data from the database.
Web Developer
Course Project
Jul 2019 - Aug 2019
Kibabii University Company
Consumer Goods Industry
Project: Masoko
- I used HTML to describe and design the content to be displayed on the web pages.
- I used CSS to make my website responsive and attractive to users.
- I used WordPress as the Content Management System.
- I used JavaScript to improve the user interface by adding dynamic elements such as sliders, pop-ups, accordions, and other interactive.
LD Experience
Client Projects
Developer
Contract
Sep 2024 - Dec 2024
LD Talent Client's Company/Project
Technology Industry
- Designed and implemented the core logic for automating the scoring algorithm, integrating it seamlessly with other tools using Python
- Leveraged Open AI language model capabilities to analyze and interpret qualitative data, ensuring insights were incorporated into the scoring process.
- Optimized the handling of large datasets by automating batch processing tasks, allowing for efficient evaluation of multiple projects simultaneously.
- Integrated scoring outputs into Google Sheets for real-time updates and easy access to results by stakeholders.
- Applied prompt engineering techniques to refine AI-generated responses, enhancing the accuracy and relevance of outputs within the scoring tool.
Quick learner. Developed what is likely the most efficient way of evaluating business ideas.
Video Projects
How to implement django-tenant-schemas with a fixed URL
Sep 2020 - Jan 2022
Frontend Developer
Technology
- 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.
LD Ventures
Thea
Sep 2020 - Jan 2022
Frontend Developer
Technology
- 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.
Lifelong Learning Projects Reviewed
Qualifications
Reviews
Client Project Reviews
LD Talent
Quick learner. Developed what is likely the most efficient way of evaluating business ideas.