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Soham Lone

Soham Lone

Underwater Image Enhancement and Object Detection for Maritime Security

India flagMumbai, India
IntermediateOther

Key Skills

Software

Other

Top Subject Matter

Maritime security
underwater threat detection
computer vision

Top Data Types

ImageImage
TextText

Top Task Types

SegmentationSegmentation

Freelancer Overview

Underwater Image Enhancement and Object Detection for Maritime Security. Core strengths include TensorFlow, Keras, and Other. Education includes Bachelor of Technology, SIES Graduate School of Technology (2024). AI-training focus includes data types such as Image and Text and labeling workflows including Segmentation, Evaluation, and Rating.

Intermediate

Labeling Experience

AI-Generated Text Evaluation via RL Training Environment

OtherText
I built and launched an RL-based evaluation platform where AI agents assess and rate AI-generated text based on set rubrics. This involved designing reward systems, automating assessment criteria, and reproducibly benchmarking agent outputs. The experience required rigorous evaluation of AI outputs and structured feedback cycles using predefined metrics. • Created custom rubrics for scoring and evaluation of AI-generated text. • Integrated sentence-transformer similarity metrics for automated rubric assessments. • Ran RL training loops, providing continuous evaluation on agent improvements. • Deployed the evaluation pipeline as a live API for real-time testing and session tracking.

I built and launched an RL-based evaluation platform where AI agents assess and rate AI-generated text based on set rubrics. This involved designing reward systems, automating assessment criteria, and reproducibly benchmarking agent outputs. The experience required rigorous evaluation of AI outputs and structured feedback cycles using predefined metrics. • Created custom rubrics for scoring and evaluation of AI-generated text. • Integrated sentence-transformer similarity metrics for automated rubric assessments. • Ran RL training loops, providing continuous evaluation on agent improvements. • Deployed the evaluation pipeline as a live API for real-time testing and session tracking.

2026 - 2026

Underwater Image Enhancement and Object Detection for Maritime Security

ImageSegmentation
I developed an AI system to enhance and label underwater images for the detection of threats in low-visibility conditions. The work involved training and fine-tuning a U-Net model for image enhancement, as well as a YOLOv8 object detection model for identifying threat classes. Model performance was rigorously evaluated to ensure only high-quality labeled outputs were used in production. • Annotated and pre-processed underwater images for segmentation and object detection tasks. • Fine-tuned the YOLOv8 model to identify multiple threat categories from images. • Used leaderboard-based quality gates for automated evaluation and acceptance of labeled data. • Enabled real-time feedback on labeling quality through a live web app interface.

I developed an AI system to enhance and label underwater images for the detection of threats in low-visibility conditions. The work involved training and fine-tuning a U-Net model for image enhancement, as well as a YOLOv8 object detection model for identifying threat classes. Model performance was rigorously evaluated to ensure only high-quality labeled outputs were used in production. • Annotated and pre-processed underwater images for segmentation and object detection tasks. • Fine-tuned the YOLOv8 model to identify multiple threat categories from images. • Used leaderboard-based quality gates for automated evaluation and acceptance of labeled data. • Enabled real-time feedback on labeling quality through a live web app interface.

2026 - 2026

Education

S

SIES Graduate School of Technology

Bachelor of Technology, Artificial Intelligence and Machine Learning

Bachelor of Technology
2024

Work History

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