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M

Mukesh Kumar Mehta

code with human feedback | ML code eval

India flagNoida, India
$50.00/hrIntermediateOtherAws SagemakerLabelbox

Key Skills

Software

Other
AWS SageMakerAWS SageMaker
LabelboxLabelbox
MercorMercor
SuperAnnotateSuperAnnotate

Top Subject Matter

Conversational AI/NLP
Healthcare and Life science

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

ClassificationClassification
RLHFRLHF
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

I am a data science professional with over 7.5 years of experience in machine learning, NLP, and generative AI, complemented by hands-on experience in data annotation and human-in-the-loop systems. I hold a Bachelor of Technology degree from the Indian Institute of Technology Roorkee, where I built a strong foundation in analytical thinking and problem-solving. Throughout my career, I have worked with leading organizations such as Accenture, Optum, Leena AI, Zee5, and Innoplexus, where I developed and deployed large-scale AI solutions including recommendation systems, entity extraction pipelines, and retrieval-augmented generation (RAG) applications that significantly improved efficiency and accuracy in production environments. I worked with Code with Human Feedback project for more than a year where I contributed to data annotation and evaluation workflows focused on improving model outputs through structured human feedback. This experience strengthened my understanding of annotation guidelines, quality control, edge-case handling, and iterative model improvement processes. My background as an NLP engineer and data scientist has also involved designing labeling frameworks, clustering queries for efficient annotation, and improving dataset quality—skills that directly translate to high-quality data annotation work.

IntermediateEnglishHindi

Labeling Experience

NLP Engineer - Query Grouping and Intent Prediction Labeling

OtherTextClassification
As an NLP Engineer at Leena AI, I developed a system to group similar queries for efficient labeling and correction of intent predictions. This work involved preparing data for downstream AI models by creating, curating, and refining labeled datasets. My contributions enabled improvement in search and intent prediction tasks through better data quality. • Built grouping systems for queries to maximize labeling efficiency. • Led labeling and intent correction efforts for improved chatbot performance. • Enabled annotation at scale to support high-precision NLP models. • Collaborated with team to ensure annotation protocols and data quality standards were met.

As an NLP Engineer at Leena AI, I developed a system to group similar queries for efficient labeling and correction of intent predictions. This work involved preparing data for downstream AI models by creating, curating, and refining labeled datasets. My contributions enabled improvement in search and intent prediction tasks through better data quality. • Built grouping systems for queries to maximize labeling efficiency. • Led labeling and intent correction efforts for improved chatbot performance. • Enabled annotation at scale to support high-precision NLP models. • Collaborated with team to ensure annotation protocols and data quality standards were met.

2021 - 2022

Education

I

Indian Institute of Technology Roorkee

Bachelor of Technology, Technology

Bachelor of Technology
2018 - 2018

Work History

A

Accenture

Data Science Consultant

Gurugram
2024 - Present
O

Optum

Data Scientist

Mumbai
2023 - 2024