Backend engineer. Go, Python, PostgreSQL.
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Assessing your cultural and operational fit
LD Talent
Data Scientist
June 22, 2026 – Present
http-server
May 25, 2026 – Present
A single-threaded, non-blocking HTTP/1.1 server written in Rust, built from the ground up using epoll and raw POSIX syscalls. No async runtimes. No framework, just the protocol and the kernel
View Projectpredictions
October 4, 2025 – October 6, 2025
NASA Space Apps Challenge 2025 Project Forecasting air quality using TEMPO satellite data, ground sensors, and machine learning
View Projectdrawing
August 3, 2025 – August 3, 2025
This project's goal is to create and manipulate various geometrical shapes in Rust using traits and modules. It simulate drawing, coloring, and displaying shapes with proper struct and trait definitions.
View Projectlandsnap
April 19, 2025 – April 30, 2025
LandSnap is a Django-based web application designed to analyze land changes over time using comparative image analysis. It leverages advanced computer vision algorithms to detect and visualize differences between two aerial images of the same location taken at different times.
View Projecttalent-match
April 11, 2025 – Present
Talent Match is a task management and talent assignment system designed to streamline the process of assigning tasks to the most suitable talent based on availability, skill, and other criteria. It integrates with Redis, Celery, and AI models (OpenAI or a local AI replacement) to provide a robust and scalable solution for task management.
View Projectportfolio
November 11, 2024 – Present
This portfolio showcases my skills, experience, projects, and blog articles, offering a glimpse into my journey as a passionate software developer and advocate for open-source projects.
View Projectsimple_shell
February 11, 2023 – May 16, 2023
Simple Shell is a lightweight version of a linux shell written from scratch with C. It showcase the commonly used commands such as ls, pwd, cd, cat, echo etc...
View ProjectCultural Fit Analysis
The candidate's portfolio includes a wide range of personal projects, from data science and web development to systems programming. This diversity suggests a curious and self-motivated individual who is eager to explore different technical domains. The 'predictions' project, a NASA Space Apps Challenge entry, indicates an interest in collaborative, impact-driven work. The current role as a Data Scientist at LD Talent aligns directly with the target role, suggesting a clear career path. However, the lack of team-based or open-source contributions beyond the NASA challenge makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse projects and an interest in problem-solving. However, without specific psychometric or English test results, it is difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration. The project descriptions themselves are generally clear and concise.