Sivasubraman Uthirapandiyan

Key Skills

Software

Data Annotation Tech

Deep Systems

Mindrift

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Geospatial Tiled Imagery

Image

Text

Video

Top Label Types

Bounding Box

Point Key Point

Land Cover Classification

Data Collection

Action Recognition

Question Answering

Text Generation

Diagnosis

Freelancer Overview

I have over 10 years of experience specializing in data annotation, quality validation, and dataset auditing for AI training pipelines, with a strong focus on computer vision and geospatial analytics. My background includes hands-on annotation review, error analysis, and the development of Python-based validation scripts to ensure high-quality, consistent training data for machine learning models. I am skilled in object detection, classification, and segmentation tasks using tools like YOLO, ResNet, and PyTorch, and have worked extensively with satellite and drone imagery for environmental monitoring and land-use classification. I thrive in collaborative environments, working closely with engineers and QA teams to refine annotation guidelines, improve labeling efficiency, and enhance dataset accuracy. My technical toolkit includes Python (Pandas, NumPy, SciPy), PyTorch, TensorFlow, QGIS, ArcGIS, and cloud platforms such as AWS and GCP. I am passionate about building robust, reliable datasets that drive successful AI solutions.

Labeling Experience

Data Annotation Specialist

MindriftGeospatial Tiled ImageryBounding BoxPoint Key Point

Currently engaged in the annotation and labeling of geospatial datasets for AI and machine learning applications. Responsibilities include: Delineating parcel boundaries, land cover types, and georeferenced features using high-resolution satellite and aerial imagery. Performing quality control and validation to ensure dataset accuracy and consistency. Utilizing platforms such as Atlas Capture, Crowdgen, and Mindrift for collaborative labeling workflows. Preparing labeled datasets to train and improve computer vision and remote sensing AI models. Adhering to strict labeling guidelines and maintaining documentation for reproducibility and audit purposes. Key Skills Applied: Geospatial data annotation, GIS mapping, AI/ML dataset preparation, quality assurance, remote sensing.

Currently engaged in the annotation and labeling of geospatial datasets for AI and machine learning applications. Responsibilities include: Delineating parcel boundaries, land cover types, and georeferenced features using high-resolution satellite and aerial imagery. Performing quality control and validation to ensure dataset accuracy and consistency. Utilizing platforms such as Atlas Capture, Crowdgen, and Mindrift for collaborative labeling workflows. Preparing labeled datasets to train and improve computer vision and remote sensing AI models. Adhering to strict labeling guidelines and maintaining documentation for reproducibility and audit purposes. Key Skills Applied: Geospatial data annotation, GIS mapping, AI/ML dataset preparation, quality assurance, remote sensing.

2025

Data Annotation SPecialist

Data Annotation TechVideoAction Recognition

I engaged in video annotation and evaluation projects for AI and machine learning applications, with a focus on action recognition and video captioning. Responsibilities include: Annotating and captioning video content to identify human actions, objects, and events. Performing quality evaluation of annotations to ensure accuracy and consistency for AI training datasets. Using Data Annotation Tech platforms for efficient labeling, collaborative workflows, and real-time evaluation. Assisting in the preparation of datasets for computer vision and action recognition AI models. Maintaining detailed documentation and adhering to strict annotation guidelines for reproducibility and auditing. Key Skills Applied: Video annotation, action recognition, captioning, AI/ML dataset preparation, quality assurance, evaluation & rating.

I engaged in video annotation and evaluation projects for AI and machine learning applications, with a focus on action recognition and video captioning. Responsibilities include: Annotating and captioning video content to identify human actions, objects, and events. Performing quality evaluation of annotations to ensure accuracy and consistency for AI training datasets. Using Data Annotation Tech platforms for efficient labeling, collaborative workflows, and real-time evaluation. Assisting in the preparation of datasets for computer vision and action recognition AI models. Maintaining detailed documentation and adhering to strict annotation guidelines for reproducibility and auditing. Key Skills Applied: Video annotation, action recognition, captioning, AI/ML dataset preparation, quality assurance, evaluation & rating.

2025 - 2025

AI prompt Engeneer

Don T DiscloseTextQuestion AnsweringText Generation

Engaged in prompt evaluation and engineering for AI language models, focusing on improving output quality and alignment with project objectives. Responsibilities include: Designing, testing, and refining prompts to optimize AI model responses. Evaluating AI outputs for accuracy, relevance, coherence, and adherence to instructions. Using human-in-the-loop workflows to provide feedback for model fine-tuning and performance improvement. Collaborating with AI development teams to identify prompt patterns and enhance overall model behavior. Documenting evaluation results and providing actionable recommendations for prompt optimization. Key Skills Applied: Prompt engineering, AI evaluation, human-in-the-loop AI, NLP, AI model fine-tuning, quality assurance.

Engaged in prompt evaluation and engineering for AI language models, focusing on improving output quality and alignment with project objectives. Responsibilities include: Designing, testing, and refining prompts to optimize AI model responses. Evaluating AI outputs for accuracy, relevance, coherence, and adherence to instructions. Using human-in-the-loop workflows to provide feedback for model fine-tuning and performance improvement. Collaborating with AI development teams to identify prompt patterns and enhance overall model behavior. Documenting evaluation results and providing actionable recommendations for prompt optimization. Key Skills Applied: Prompt engineering, AI evaluation, human-in-the-loop AI, NLP, AI model fine-tuning, quality assurance.

2024 - 2024

Education

Work History