Hady Tantawy

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Labelbox

OneForma

Remotasks

Toloka

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Text

Top Task Types

Audio Recording

Computer Programming Coding

Data Collection

Emotion Recognition

Translation Localization

Freelancer Overview

A dedicated and results-driven Python Developer, AI Developer, and AI Trainer with expertise in back-end development, API integration, automation, and data-driven applications. Proficient in frameworks such as Django, Flask, and data analysis libraries like Pandas and NumPy. Passionate about problem-solving, writing clean, maintainable code, and continuously learning new technologies. In addition to software development, specialized in AI training and model fine-tuning, working on supervised and unsupervised learning techniques to enhance AI accuracy and performance. Experienced in building custom AI solutions, training deep learning models, and optimizing datasets for better predictions. Skilled in creating AI-based workflows, enhancing chatbots, recommendation systems, and predictive models for various industries. Adept at delivering AI training sessions and guiding teams in understanding machine learning fundamentals and real-world AI applications. Bringing advanced gaming experience and a strong passion for robotics and AI, with expertise in strategy, problem-solving, hand-eye coordination, and spatial awareness developed through gaming. Familiar with teleoperation systems such as joystick, VR, and FPV controls, with a keen ability to troubleshoot issues, analyze performance data, and refine robotic behaviors. Experienced Levantine Arabic transcriptionist with expertise in Label Studio, specializing in high-accuracy speech annotation despite background noise.

Labeling Experience

AI Model Training & Evaluation

LabelboxTextFine TuningEvaluation Rating

Worked on AI model evaluation and fine-tuning, leveraging expertise in gaming, programming, and linguistic refinement. Tasks included optimizing chatbot interactions, refining AI-generated content, and improving model reasoning and contextual understanding across multiple languages (Arabic, German, French, and Italian). Developed and tested AI-based gaming strategies, contributing to teleoperation advancements with a 95% success rate in robotic control tasks. Engaged in supervised fine-tuning (SFT) for NLP applications, ensuring improved response accuracy and bias reduction. Assisted in training deep learning models, enhancing AI performance in text generation, recommendation systems, and predictive analytics.

Worked on AI model evaluation and fine-tuning, leveraging expertise in gaming, programming, and linguistic refinement. Tasks included optimizing chatbot interactions, refining AI-generated content, and improving model reasoning and contextual understanding across multiple languages (Arabic, German, French, and Italian). Developed and tested AI-based gaming strategies, contributing to teleoperation advancements with a 95% success rate in robotic control tasks. Engaged in supervised fine-tuning (SFT) for NLP applications, ensuring improved response accuracy and bias reduction. Assisted in training deep learning models, enhancing AI performance in text generation, recommendation systems, and predictive analytics.

2023

AI Model Evaluation & Prompt Engineering

AppenTextFine TuningEvaluation Rating

Worked on evaluating AI-generated responses for quality, coherence, and adherence to specific guidelines. Tasks included writing diverse prompts to test AI capabilities, assessing responses based on fluency, consistency, and correctness, and providing structured feedback for model fine-tuning. Ensured alignment with ethical AI principles, reducing bias and improving user interaction quality. The project involved large-scale data annotation and iterative model training, contributing to the enhancement of generative AI models used in various applications.

Worked on evaluating AI-generated responses for quality, coherence, and adherence to specific guidelines. Tasks included writing diverse prompts to test AI capabilities, assessing responses based on fluency, consistency, and correctness, and providing structured feedback for model fine-tuning. Ensured alignment with ethical AI principles, reducing bias and improving user interaction quality. The project involved large-scale data annotation and iterative model training, contributing to the enhancement of generative AI models used in various applications.

2023

Education

Work History