Thammali S.

Key Skills

Software

Data Annotation Tech

Other

Top Subject Matter

Conversational AI

Top Data Types

Text

Computer Code Programming

Document

Video

Top Task Types

Data Collection

Text Summarization

Computer Programming/Coding

Prompt + Response Writing (SFT)

Transcription

Object Detection

Text Generation

Evaluation/Rating

Fine-tuning

Freelancer Overview

Freelance AI Trainer – Outlier AI. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, Marri Laxman Reddy Institute of Technology and Management (2023) and Diploma in Mechanical Engineering, Sri Sangameshwara Govt Polytechnic College (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Fine-tuning.

Labeling Experience

AI-Driven Learning (Freelance Project)

OtherTextData CollectionFine-tuning

During my AI-Driven Learning freelance project, I conducted structured annotation tasks for the training of conversational models. This role focused on gathering, labeling, and quality-checking textual data to facilitate AI learning and performance improvement. My responsibilities included executing annotation protocols and ensuring data accuracy throughout the project lifecycle. • Collected and annotated diverse text samples for conversational models. • Ensured strict adherence to annotation guidelines and data accuracy. • Facilitated ongoing training and model refinement through quality data provision. • Demonstrated initiative in managing complex, multi-step AI data projects.

2023 - Present

Freelance AI Trainer – Outer AI

OtherText

As a freelance AI Trainer with Outer AI, I performed data annotation and model evaluation to refine conversational AI systems. I developed structured methodologies to ensure high-quality, accurate labeled data and helped improve contextual understanding for AI models. My work involved consistently reviewing, annotating, and rating AI-generated text data for response quality and relevance. • Annotated and evaluated large volumes of text datasets for accuracy and context. • Collaborated with technical teams to enhance annotation workflows and model quality. • Applied structured training techniques to improve model outputs. • Developed consistent protocols for evaluating conversational AI performance.

2023 - Present

Education

Work History