Kankara K.

Key Skills

Software

Other

Top Subject Matter

LLM alignment and AI auditing for safety/factual accuracy

Public health data management and reporting

Top Data Types

Text

Top Task Types

RLHF

Freelancer Overview

AI Data Specialist — RLHF-based LLM training and annotation/rubric development (Nexus digital solutions). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Power BI. Education includes Bachelor of Science, Mewar International University (2026). AI-training focus includes data types such as Computer Code, Programming, and Medical and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

AI Data Specialist - Nexus Digital Solutions

TextRLHF

You served as an AI Data Specialist, supporting model alignment efforts to improve LLM safety and factual accuracy. You built and maintained data pipelines to clean, validate, and prepare high-volume datasets for downstream use. You tracked model performance with BI reporting and improved training workflows through higher-quality annotation guidance. • Applied RLHF and related alignment approaches to enhance safety and correctness • Developed Python and SQL pipelines for data cleaning, validation, and quality checks • Created Power BI dashboards to monitor model accuracy and edge-case trends • Authored annotation rubrics to reduce labeling errors and improve training speed

2022 - Present

AI Data Specialist — RLHF-based LLM training and annotation/rubric development (Nexus digital solutions)

OtherRLHF

Built RLHF workflows to train LLMs for improved safety and factual accuracy. Developed and implemented annotation rubrics to standardize labeling decisions and reduce labeling errors. Monitored alignment outcomes through accuracy reporting and edge-case trend analysis for continuous improvement. • Trained LLMs using RLHF for safety and factual alignment • Cleaned and validated high-volume datasets using Python and SQL pipelines • Reduced labeling errors by 20% and improved training speed with refined rubrics • Reported model accuracy and edge-case trends via Power BI dashboards.

2022 - 2026

Data Analyst — health data preparation, quality work, and reporting (eHealth4everyone)

Performed complex data cleaning and statistical analysis to support high-fidelity health reporting. Organized and compiled data reports to ensure accurate interpretation and documentation for public health stakeholders. Supported dashboard creation for ongoing monitoring of health metrics and operational decision-making. • Maintained and optimized health data systems for reporting fidelity • Conducted data cleaning and statistical analysis for stakeholder-ready outputs • Built Power BI dashboards to visualize health statistics • Compiled and documented cross-team reporting for public health initiatives.

2020 - 2022

Education

Work History