Engy A.

Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Datatroniq

Datumbox

Datasaur

Datature

Dataturk

Deep Systems

Diffgram

Doccano

Encord

Figure Eight

Google Cloud Vertex AI

Hasty

HiveMind

Humanatic

iMerit

Img Lab

Kili Technology

Labelbox

LabelImg

Label Studio

LightTag

Lionbridge

Mercor

Micro1

Mighty AI

Mindrift

OneForma

OpenCV AI Kit (OAK)

Playment

Scale AI

Sama

Sloth

Snorkel AI

Supervisely

SuperAnnotate

Trilldata Technologies

Top Subject Matter

Agentic AI & Multi-Agent Systems and Retrieval-Augmented Generation (RAG)

Generative AI & Large Language Models (LLMs)

Deep Learning

Top Data Types

Video

Text

Computer Code Programming

Top Task Types

Classification

Fine-tuning

Transcription

Computer Programming/Coding

Data Collection

Question Answering

Text Generation

Object Detection

Text Summarization

Evaluation/Rating

Function Calling

Prompt + Response Writing (SFT)

Segmentation

Entity (NER) Classification

Point/Key Point

Bounding Box

Polygon

Freelancer Overview

AI Engineer specializing in Deep Learning, Generative AI, RAG, and Agentic AI systems. Experienced in building AI-powered applications using TensorFlow, PyTorch, LangChain, Hugging Face Transformers, OpenAI APIs, and scikit-learn. Skilled in developing and training deep learning models including CNNs, RNNs, and Transformer-based architectures for NLP tasks. Experienced in building Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings, creating AI agents and workflow automation systems, prompt engineering, fine-tuning models, and integrating LLMs into real-world applications. Technical Skills: • Deep Learning: CNNs, RNNs, Transformers, Transfer Learning • Generative AI & LLMs • RAG Pipelines & Vector Databases • Agentic AI & Multi-Agent Systems • LangChain, Hugging Face, OpenAI APIs • NLP & Computer Vision • TensorFlow, PyTorch, Keras, scikit-learn • Python, Pandas, NumPy, OpenCV • Model Training, Evaluation, and Hyperparameter Tuning • Git, GitHub, SQL

Labeling Experience

Computer Vision Engineer (Sign Letter Recognition)

OtherImageClassification

Worked as a Computer Vision engineer to implement English sign letter recognition using CNNs. Labeled and annotated images of sign language letters to ensure datasets supported supervised training. Maintained rigorous data labeling procedures to facilitate high model accuracy. • Annotated images of hand gestures representing English letters. • Ensured datasets were balanced and representative. • Reviewed and validated labels for correctness. • Applied best practices in image data labeling.

2024 - 2024

Machine Learning Engineer (Handwritten Character Recognition)

OtherImageClassification

As a Machine Learning engineer, contributed to the development of a handwritten character recognition project. This role required annotating and labeling image data to train models for accurate character identification. Ensured the labeled image datasets were of high quality for optimal model performance. • Labeled large sets of handwritten character images for model training. • Used classification to assign appropriate labels to each image sample. • Verified accuracy and consistency of labeled data. • Collaborated with team members to ensure labeling standards were met.

2024 - 2024

Education

Work History