Naim M.

Key Skills

Software

Mercor

Micro1

Snorkel AI

Top Subject Matter

Automated UI testing

computer vision

agentic workflow automation

Top Data Types

Image

Text

Document

Top Task Types

Classification

Text Generation

Question Answering

Text Summarization

RLHF

Evaluation/Rating

Computer Programming/Coding

Freelancer Overview

Co-Founder, TestForge AI. Brings 12+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Georgia Institute of Technology (2023) and Bachelor of Science, Fordham University (2017). AI-training focus includes data types such as Image and labeling workflows including Classification.

Labeling Experience

AI Training Reviewer & Rubric Evaluation Specialist

TextRLHF

Worked on AI training and quality review projects involving model output evaluation, rubric creation, and task review. Reviewed model-generated answers for accuracy, reasoning quality, relevance, instruction adherence, and overall usefulness. Created and applied detailed rubrics to evaluate responses consistently across different task types, including technical/software-engineering tasks and general reasoning tasks. Also reviewed other evaluation submissions to ensure scores were fair, well-supported, and aligned with project guidelines.

2026 - Present

AI Model Evaluation & Response Quality Reviewer

TextEvaluation/Rating

Evaluated AI model outputs across technical and general reasoning tasks, focusing on response quality, correctness, instruction following, clarity, completeness, and usefulness. Compared model responses side by side, applied structured scoring rubrics, and provided written justifications explaining why one output performed better than another. Work included identifying reasoning gaps, hallucinations, missing requirements, formatting issues, and cases where responses failed to satisfy the user’s intent.

2025 - Present

Co-Founder, TestForge AI

ImageClassification

Engineered a multimodal AI pipeline using OpenAI GPT-4, LangChain, vector embeddings, Pinecone, and computer vision to reason over visual state, DOM structure, selectors, and historical failures for automated test generation and repair. Developed workflows that enable AI-driven generation and maintenance of self-healing Playwright test suites from labeled session recordings, screenshots, DOM snapshots, and HTML. Implemented agentic automation for consistent labeling, model fine-tuning, and error correction in an asynchronous, scalable environment. • Built and deployed with FastAPI, Docker, AWS EKS, and React/Next.js interfaces. • Labeled and classified visual session data and DOM elements to power AI model output. • Leveraged OpenAI GPT-4 and LangChain for model instruction and validation tasks. • Utilized Pinecone vector embeddings and computer vision techniques for test flow maintenance.

2024 - Present

Education

Work History