Akula Dedeepya

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Freelancer Overview

I am passionate about building robust AI and ML solutions, with hands-on experience in developing and deploying models for computer vision, NLP, and large-scale data analytics. My work includes creating data pipelines, conducting statistical modeling, and fine-tuning large language models, all of which required meticulous data labeling and annotation to ensure high-quality training datasets. I have designed and implemented customer-facing applications such as video recommendation engines and document analysis tools, leveraging Python, TensorFlow, PyTorch, and advanced statistical techniques. My background also includes collaborating with cross-disciplinary teams, optimizing ML systems for real-world use, and utilizing tools like FastAPI, Docker, and AWS for scalable, production-ready solutions. I am committed to delivering accurate, well-annotated datasets that drive impactful AI outcomes.

Labeling Experience

Data Annotation

LabelboxImageBounding Box

Annotated diverse car images using Labelbox to create high-quality bounding box labels for vehicle detection. Ensured labeling accuracy and consistency by following strict annotation guidelines and performing quality checks. Prepared a structured dataset that improved training performance of object detection models such as YOLO and Faster R-CNN.

Annotated diverse car images using Labelbox to create high-quality bounding box labels for vehicle detection. Ensured labeling accuracy and consistency by following strict annotation guidelines and performing quality checks. Prepared a structured dataset that improved training performance of object detection models such as YOLO and Faster R-CNN.

2025 - 2025

Education

Work History