Avish K.

Key Skills

Software

AWS SageMaker

Anno-Mage

Labelbox

Top Subject Matter

Machine Learning Model Training

Prompt Evaluation for LLM Alignment and RLHF

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Bounding Box

Polygon

Segmentation

Classification

Point/Key Point

Polyline

Object Detection

Text Generation

Question Answering

Text Summarization

RLHF

Fine-tuning

Transcription

Evaluation/Rating

Prompt + Response Writing (SFT)

Freelancer Overview

ML Data Associate I. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Technology, Godavari Institute of Engineering and Technology (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

ML Data Associate I

Text

As an ML Data Associate I at Amazon, I annotated and validated text, audio, image, and video data to train machine learning models. I followed detailed project guidelines, ensured accuracy, and collaborated with ML teams to improve annotation strategies. Regularly reviewing labeled data for quality, I met productivity and compliance targets in a metrics-driven environment. • Managed multimodal dataset labeling, including text, image, audio, and video. • Used internal/proprietary tooling for annotation and quality feedback. • Supported data improvement by identifying labeling pattern issues. • Maintained confidentiality while handling sensitive AI data.

2024 - Present

MIL Prompt Grading Workflow – AI Training Simulation Project

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In a simulated AI training project, I executed a Machine Learning Input Labeling (MIL) prompt grading workflow. This involved annotating over 500 prompt-response pairs for various quality factors aligned with RLHF processes. I applied detailed rubrics and QA-reviewed annotations to support LLM supervised learning. • Labeled prompt–response pairs focusing on accuracy, relevance, and bias. • Used review-ready, high-quality evaluation standards for annotation. • Contributed to dataset creation for virtual assistants and enterprise bots. • Gained hands-on experience with structured AI annotation tools and logic.

2024 - 2024

Education

Work History