Subhash Dangi

Key Skills

Software

AWS SageMaker

Axiom AI

Google Cloud Vertex AI

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Computer Code Programming

Document

Geospatial Tiled Imagery

Image

Top Label Types

Land Cover Classification

Mapping

Object Detection

Point Key Point

Polygon

Polyline

Prompt Response Writing SFT

Question Answering

Red Teaming

Relationship

RLHF

Transcription

Freelancer Overview

I am passionate about working with data to power AI and machine learning solutions, with hands-on experience in data collection, cleaning, and preparation for large-scale projects. In my internships, I have managed and preprocessed diverse datasets, handled missing values and outliers, and applied normalization techniques to ensure high-quality training data for accurate modeling. My background includes building and automating data pipelines using Python (Pandas, Numpy), SQL, and visualization tools like Tableau and Power BI, as well as developing predictive models and customer segmentation strategies. I have contributed to AI projects involving time series forecasting (LSTM), computer vision (CNN), and large language models (LLM), and am skilled at ensuring data integrity and clarity for downstream analysis. My collaborative approach and attention to detail help deliver reliable, annotated datasets that drive effective AI solutions.

Labeling Experience

Data Labeling Specialist (RLHF)

Aws SagemakerImageRLHF

As a Data Labeling Specialist at Ethara.AI, I annotated and evaluated large-scale conversational datasets to support LLM training. I ranked AI-generated responses and performed quality assurance validation checks, maintaining high labeling accuracy. My work contributed to dataset refinement and reinforcement learning model improvements. • Conducted text annotation and conversational AI evaluation tasks. • Ranked responses for accuracy, relevance, coherence, and safety. • Identified bias, hallucinations, and inconsistencies in outputs. • Ensured labeling consistency following structured guidelines.

As a Data Labeling Specialist at Ethara.AI, I annotated and evaluated large-scale conversational datasets to support LLM training. I ranked AI-generated responses and performed quality assurance validation checks, maintaining high labeling accuracy. My work contributed to dataset refinement and reinforcement learning model improvements. • Conducted text annotation and conversational AI evaluation tasks. • Ranked responses for accuracy, relevance, coherence, and safety. • Identified bias, hallucinations, and inconsistencies in outputs. • Ensured labeling consistency following structured guidelines.

2024 - 2025

Education

Work History