Hadiza A.

Key Skills

Software

Other

OpenCV AI Kit (OAK)

Remotasks

Top Subject Matter

Computer vision pose estimation and exercise posture evaluation

Top Data Types

3D Sensor

Text

Image

Top Task Types

Fine-tuning

Text Generation

Classification

Data Collection

Bounding Box

Object Detection

Text Summarization

Question Answering

Transcription

Evaluation/Rating

Computer Programming/Coding

Segmentation

Prompt + Response Writing (SFT)

Red Teaming

Freelancer Overview

Research Assistant, Evo Lab — Pose evaluation and posture correctness detection using depth cameras (01/2025–Present). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV and Python. Education includes Bachelor of Science, Kadir Has University. AI-training focus includes data types such as 3D Sensor and labeling workflows including Evaluation and Rating.

Labeling Experience

Research Assistant - Evo Lab, Kadir Has University

3D Sensor

Created an AI-based pose evaluation pipeline using depth cameras to assess body posture in real time. Developed a system that determines correct versus incorrect plank execution from captured depth/pose information. Worked on labeling-derived evaluation outputs by mapping sensor-derived posture features to correctness ratings. • Used depth cameras and computer vision for posture analysis. • Classified exercise correctness based on body posture in real time. • Supported conference and journal preparation using lab results. • Co-developed 3D virtual fitting room systems with ML techniques.

2025 - Present

Software Engineer - Mel-Fi Tech

OtherText

Developed a real-time WebSocket system for simulating financial interactions, with an emphasis on scalability and latency improvements. While not explicitly framed as AI training, the role involved building simulation capabilities used to support further distributed systems research. Such simulation outputs can be used to generate interaction logs for downstream model evaluation and tuning. • Implemented real-time simulation infrastructure • Enabled scalable interaction handling • Produced documentation to guide distributed systems research • Reduced latency and improved scalability for simulation workflows

2024 - 2024

Software Developer Intern - Tulipr

OtherFine-tuning

Built an LLM-powered chatbot intended to automate supplier communications using web-scraped datasets. Work included designing conversation flows and improving response accuracy, implying iterative dataset/model adaptation for better task performance. Although explicit labeling is not stated, the development depended on preparing conversational training/usage data and measuring improvements. • Designed chatbot conversation flows • Improved system response accuracy through iterative refinement • Used web-scraped datasets for LLM chatbot behavior • Prepared domain-specific automation for supplier communications

2024 - 2024

Education

Work History