Raju Mithra Kantheti

Key Skills

Software

Scale AI

AWS SageMaker

Clickworker

Google Cloud Vertex AI

Labelbox

Mercor

Micro1

Mindrift

Appen

Top Subject Matter

LLM agentic orchestration and text-based AI systems

Conversational AI/NLP for Alexa

AI training

Top Data Types

Text

Computer Code Programming

Image

Top Task Types

Fine-tuning

Entity (NER) Classification

Classification

Transcription

Question Answering

Function Calling

Prompt + Response Writing (SFT)

Evaluation/Rating

Computer Programming/Coding

Object Detection

Text Generation

Text Summarization

Point/Key Point

Polygon

Data Collection

Cuboid

RLHF

Polyline

Segmentation

Bounding Box

Red Teaming

Freelancer Overview

LLM Developer – Scale AI. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Amazon Internal, and Proprietary Tooling. AI-training focus includes data types such as Text and labeling workflows including Fine-tuning, Entity (NER) Classification, and AI Tutoring.

Labeling Experience

LLM Developer – Scale AI

Scale AITextFine Tuning

As an LLM Developer at Scale AI, I refined model decision-making in multi-agent environments using annotated text data. My work focused on developing prompts, designing tool orchestration experiments, and improving model autonomy for task completion. The role involved creating structured natural language scenarios for agentic systems. • Designed agentic AI system prompts to simulate complex user interactions. • Performed evaluation and fine-tuning for large language models using curated text datasets. • Led error tagging and reasoning loop implementations for AI performance enhancement. • Conducted large-scale orchestration experiments with iterative evaluation rounds.

As an LLM Developer at Scale AI, I refined model decision-making in multi-agent environments using annotated text data. My work focused on developing prompts, designing tool orchestration experiments, and improving model autonomy for task completion. The role involved creating structured natural language scenarios for agentic systems. • Designed agentic AI system prompts to simulate complex user interactions. • Performed evaluation and fine-tuning for large language models using curated text datasets. • Led error tagging and reasoning loop implementations for AI performance enhancement. • Conducted large-scale orchestration experiments with iterative evaluation rounds.

2025 - Present

AI Alexa Data Trainer – Amazon

TextEntity Ner Classification

As an AI Alexa Data Trainer at Amazon, I improved Alexa’s natural language understanding and conversational accuracy through annotation. This involved refining intent detection and entity extraction datasets by labeling textual conversational data and performing contextual data curation. My work contributed to enhancing the AI's performance in entity extraction and intent recognition tasks. • Labeled conversational text data for entity and intent detection. • Curated and refined AI datasets for improved model responses. • Performed classification of NER tasks for voice assistant training. • Enhanced context detection through precise annotation and labeling processes.

As an AI Alexa Data Trainer at Amazon, I improved Alexa’s natural language understanding and conversational accuracy through annotation. This involved refining intent detection and entity extraction datasets by labeling textual conversational data and performing contextual data curation. My work contributed to enhancing the AI's performance in entity extraction and intent recognition tasks. • Labeled conversational text data for entity and intent detection. • Curated and refined AI datasets for improved model responses. • Performed classification of NER tasks for voice assistant training. • Enhanced context detection through precise annotation and labeling processes.

2024 - 2024

Education

Work History