Muhammad D.

Key Skills

Software

Other

Top Subject Matter

Marketing research

business operations

and AI-assisted content generation

Top Data Types

Text

Computer Code Programming

Top Task Types

No task types listed

Freelancer Overview

Marketing & Business Development Associate (AI-assisted content refinement and evaluation). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Git, and GitHub. Education includes Bachelor of Science, N/A (2028). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

Marketing & Business Development Associate (AI-assisted content refinement and evaluation)

OtherText

Provided AI-assisted content and research work by iterating prompts to improve output quality and relevance, which aligns with evaluating and refining AI responses. Conducted rubric-like assessment of outreach and conversion performance by judging many cases consistently over an end-to-end pipeline. Produced written market research debriefs that translate observations into structured feedback for decision-making. • Iteratively refined ChatGPT/LLM outputs using prompt engineering • Evaluated campaign performance data to guide strategy with consistent judgment • Produced structured market research reports and debriefs for stakeholders • Followed detailed operational guidelines to ensure consistent rule-based judgments

2025 - Present

Selected Projects: Crypto Exchange Simulator; Smart City Network Simulation (rule-based evaluation and edge-case verification)

Built rule-based systems and evaluated logical behavior in C++ projects, demonstrating the capability to follow detailed guidelines and verify outputs against expected rules. Developed a rule-based order matching engine requiring edge-case handling, which is analogous to validating labeled outputs against constraints. Designed a multi-threaded client-server simulation and analyzed performance trade-offs to support systematic evaluation. • Implemented modular rule-based logic for order matching in C++ • Applied edge-case reasoning consistent with guideline-based evaluation • Designed and analyzed simulation systems to measure behavior and outcomes • Produced structured technical outputs from systematic testing and analysis

2024

Education

Work History