Naseem S.

Key Skills

Software

No software listed

Top Subject Matter

Web application code evaluation and QA for multilingual lesson access platform.

Technical writing and evaluation-oriented documentation for a web/blog platform with Firebase.

Top Data Types

Computer Code Programming

Top Task Types

Text Generation

Freelancer Overview

Full Stack Developer & Code Reviewer at Speakably Language App (code verification/quality evaluation).. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include GitHub Actions and Firebase Firestore. Education includes Bachelor of Science, Technical University of Kenya (2025) and Certificate in Software Engineering, Zindua School (2025). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Text Generation.

Labeling Experience

Full Stack Developer & Technical Writer at Inkify Blog Platform (documentation and explanation supporting AI-training style verification).

Text Generation

Created detailed technical documentation and walkthroughs that explain how systems work and how to troubleshoot issues. Produced structured narrative content alongside application logic to support understanding and correct usage. Authored documentation intended to guide maintenance and resolve irregularities through step-by-step explanations. • Wrote comprehensive technical guides for a blog platform and its components. • Developed serverless Firebase Functions supporting real-time execution and data synchronization. • Conducted architectural reviews of role-based access security and Firestore query logic. • Formulated logical edge cases to improve UI/UX usability outcomes.

2025 - 2025

Full Stack Developer & Code Reviewer at Speakably Language App (code verification/quality evaluation).

Served as a code reviewer by auditing and verifying correctness of system code and outputs during development. Focused on identifying and resolving syntax, layout, and logic issues to improve reliability of application behavior. Performed unit-test verification and CI-based quality checks to ensure generated code would execute accurately in production. • Reviewed multilingual lesson access implementations across full-stack components. • Validated RESTful API behavior and data schema integrity. • Reduced query latency by optimizing PostgreSQL query logic. • Used PyTest and GitHub Actions to support automated evaluation workflows.

2025 - 2025

Education

Work History