David M.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

NLP classification and AI alignment evaluation

LLM API integration for web applications

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Classification

Freelancer Overview

AI Engineering Intern — DevHub (AI Internship Programme). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor's Degree, N/A and AWS Certified AI & ML Engineer, Amazon Web Services (AWS). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Full-Stack Developer (Freelance) — AI/ML API integration

OtherTextPrompt + Response Writing (SFT)

Integrated AI/ML APIs and LLM endpoints into web products as part of AI-driven application development. Implemented conversational AI behavior that relies on structured prompts and expected responses for downstream model interaction. Although not a dedicated annotation job, the work involved preparing and wiring AI inputs/outputs for use in client-facing systems. • Integrated LLM endpoints into application flows • Wired prompt/response interactions for AI features • Supported AI features within full-stack product implementations • Implemented automated testing/CI for AI-connected components

2022 - Present

AI Engineering Intern - DevHub

TextClassification

As an AI Engineering Intern, he supported the development of AI and machine learning solutions within the internship program. He worked with datasets and assisted in preparing model inputs, prompts, and evaluation workflows. The role required hands-on coding skills and collaboration with mentors using version control tools. • Assisted with AI training pipelines including prompt engineering and evaluation workflows • Supported model output ranking by rating accuracy, helpfulness, and safety alignment • Collaborated with cross-functional teams using Git and GitHub Actions • Built and tested components to support NLP classification and AI-driven features

2023 - 2024

AI Engineering Intern — DevHub (AI Internship Programme)

Don't discloseText

Contributed to AI training pipelines that required labeling-related preprocessing and quality checks for NLP model outputs. Participated in evaluation sprints by rating responses for accuracy, helpfulness, and safety alignment. Supported prompt engineering workflows by organizing training inputs and reviewing generated outputs against desired criteria. • Data labelling and labeling-related preprocessing for training pipelines • Prompt engineering support for constructing model prompts • Model output evaluation and ranking • Evaluation sprint rating for accuracy, helpfulness, and safety

2023 - 2024

Education

Work History