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Nex Sharma

Nex Sharma

"AI Engineer | Generative AI & MLOps"

India flagMoradabad, India
$17.00/hrIntermediateData Annotation TechAxiom AICloudfactory

Key Skills

Software

Data Annotation TechData Annotation Tech
Axiom AI
CloudFactoryCloudFactory

Top Subject Matter

Natural Language Processing
Content Generation
Sentiment Analysis

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Fine-tuningFine-tuning
Text SummarizationText Summarization
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

AI Engineer fine-tuning LLMs for content generation and summarization. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Technology, DIT University (2024). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning.

IntermediateEnglish

Labeling Experience

AI Engineer fine-tuning LLMs for content generation and summarization

TextFine Tuning
As an AI Engineer at Limelight Media, I developed and fine-tuned large language models (LLMs) for automated content generation, summarization, and sentiment analysis. My responsibilities included data preprocessing, feature engineering, and building pipelines to support model training workflows. I ensured the models met high standards of accuracy and performance in real-world production settings. • Conducted data preprocessing and feature engineering on large-scale text datasets. • Fine-tuned LLMs for text generation, summarization, and sentiment analysis. • Integrated AI models into production environments using RESTful APIs. • Used Python, Hugging Face Transformers, and internal tools for model development and deployment.

As an AI Engineer at Limelight Media, I developed and fine-tuned large language models (LLMs) for automated content generation, summarization, and sentiment analysis. My responsibilities included data preprocessing, feature engineering, and building pipelines to support model training workflows. I ensured the models met high standards of accuracy and performance in real-world production settings. • Conducted data preprocessing and feature engineering on large-scale text datasets. • Fine-tuned LLMs for text generation, summarization, and sentiment analysis. • Integrated AI models into production environments using RESTful APIs. • Used Python, Hugging Face Transformers, and internal tools for model development and deployment.

2024 - Present

Education

D

DIT University

Bachelor of Technology, Computer Science and Engineering

Bachelor of Technology
2024

Work History

L

Limelight Media

AI Engineer

Moradabad
2024 - Present