Ahlam Abdullatif

Key Skills

Software

AWS SageMaker

Encord

SuperAnnotate

Labelbox

Scale AI

Dataloop

Appen

Top Subject Matter

Conversational AI for children

AI quality assurance

LLM evaluation

Top Data Types

Text

Image

Document

Top Task Types

Fine Tuning

Classification

Entity Ner Classification

Object Detection

Text Generation

Red Teaming

Data Collection

Function Calling

Prompt Response Writing SFT

Polygon

Segmentation

Question Answering

Text Summarization

Transcription

Freelancer Overview

Lead AI Engineer - Culture Mind LLC. Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include AWS SageMaker, Internal, and Proprietary Tooling. Education includes Master of Science, The American University in Cairo (2018) and Bachelor of Science, The American University in Cairo (2016). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning, Evaluation, and Rating.

Labeling Experience

Lead AI Engineer - Culture Mind LLC

Aws SagemakerTextFine Tuning

Developed and fine-tuned AI models for an educational chatbot focused on safe, child-friendly conversational experiences. Leveraged Deep Seek open-source frameworks and customized models with a focus on real-time, interactive chat engagement. Utilized AWS SageMaker for scalable model training, deployment, and continuous monitoring. • Fine-tuned AI chatbot models for accurate, age-appropriate responses • Evaluated training data and curated conversations for supervised learning • Collaborated on integrating privacy and safety protocols in training data • Monitored and optimized model outputs to ensure quality and consistency

Developed and fine-tuned AI models for an educational chatbot focused on safe, child-friendly conversational experiences. Leveraged Deep Seek open-source frameworks and customized models with a focus on real-time, interactive chat engagement. Utilized AWS SageMaker for scalable model training, deployment, and continuous monitoring. • Fine-tuned AI chatbot models for accurate, age-appropriate responses • Evaluated training data and curated conversations for supervised learning • Collaborated on integrating privacy and safety protocols in training data • Monitored and optimized model outputs to ensure quality and consistency

2025 - Present

AI & Technical Engineer - Genpact

Text

Supported AI quality assurance workflows including the evaluation and monitoring of AI output consistency. Built and optimized pipelines for real-time inference and behavioral testing in agentic AI systems. Participated in prompt evaluation and regression checks for large language models. • Evaluated AI outputs and prompt responses for accuracy and behavior • Assisted with regression and prompt testing for model improvements • Ensured performance of NLP models for speech detection and chatbot responsiveness • Monitored consistency and quality of model outputs in live environments

Supported AI quality assurance workflows including the evaluation and monitoring of AI output consistency. Built and optimized pipelines for real-time inference and behavioral testing in agentic AI systems. Participated in prompt evaluation and regression checks for large language models. • Evaluated AI outputs and prompt responses for accuracy and behavior • Assisted with regression and prompt testing for model improvements • Ensured performance of NLP models for speech detection and chatbot responsiveness • Monitored consistency and quality of model outputs in live environments

2023 - 2025

Education

Work History