ML Data Associate II with hands-on experience supporting the training, evaluation, and quality improvement of Large Language Models (LLMs). Skilled in creating and validating high-quality language data, performing factual accuracy and multi-turn response evaluation, and applying strong linguistic and logical judgment in ambiguous scenarios. Experienced in leveraging Python and SQL to support data analysis, validation, and workflow optimization. Proven track record of exceeding quality and productivity metrics while adhering to strict guidelines and responsible AI standards. Adept at working in fast-paced environments, identifying tooling gaps, and collaborating cross-functionally to improve data quality and model performance. Passionate about advancing generative AI systems that deliver accurate, reliable, and customer-centric experiences.
Overview
1
year of professional experience
1
Certification
Work History
Amazon
ML DATA ASSOCIATE II
08.2025 - Current
Job overview
Contributed to the development, training, and evaluation of Large Language Models (LLMs) by creating and validating high-quality training data across complex language tasks.
Evaluated model outputs against strict linguistic, logical, and factual guidelines, identifying errors, inconsistencies, and hallucinations to enhance overall model performance.
Performed factual accuracy validation, query and response evaluation, and multi-turn conversation analysis to improve model reliability, coherence, and user trust.
Demonstrated strong command of advanced written English, producing grammatically correct and guideline-compliant content in multiple styles and complexity levels.
Applied critical judgment and analytical reasoning to resolve ambiguous or incomplete data scenarios while maintaining annotation quality standards.
Accenture
Data Analyst Virtual Intern
Job overview
Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions.
Prepared a 30 minute PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
Quantium
Software Engineering Virtual Intern
Job overview
Developed an interactive Dash application in Python that enabled the client to assess the impact of price changes on sales and profitability.
Implemented a Python-based test suite to verify the Dash application is working and a bash script to automatically run the test suite.
Education
MallaReddy University
Bachelor of Technology from ArtificialIntelligence And MachineLearning
University Overview
GPA: 8.25
Narayana JuniorCollege
Intermediate from MPC
University Overview
GPA: 98.2%
Dr Kkr CsrAditya School
HighSchool
University Overview
GPA: 98%
Skills
Python Programming
Advanced Excel
LLM Training & Evaluation
Data Analysis
SQL
Planning&Execution
Cross-Functional Coordination
Responsible AI & Data Quality
Ambiguity Resolution & Logical Reasoning
Certification
Cancer Detection using Python, IBM & Smart Learn edTech Workshop
Cambridge English Level B2, Cambridge University
AWS Academy Graduate, AWS Academy
AWS Cloud Technical Essentials, AWS Academy
Relational Database Systems, Universidad Nacional Autónoma de México
Data Analysis with Python, IBM
Activities
Earned a performance award within the first month for exceeding quality and productivity metrics.
Contributed as a Student Coordinator in the National Level 24-Hour Hackathon hosted at Malla Reddy University.
Coordinated an event for the annual college fest which involves participant registrations and managing logistics.
Conducted a mentoring session for juniors on National Coding Day, focusing on python programming and database systems.
Virtual Internships
Data Analyst Virtual Intern, Accenture, Cleaned, modeled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions., Prepared a 30 minute PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
Software Engineering Virtual Intern, Quantium, Developed an interactive Dash application in Python that enabled the client to assess the impact of price changes on sales and profitability., Implemented a Python-based test suite to verify the Dash application is working and a bash script to automatically run the test suite.
Personal Information
Nationality: India
Timeline
ML DATA ASSOCIATE II
Amazon
08.2025 - Current
Data Analyst Virtual Intern
Accenture
Software Engineering Virtual Intern
Quantium
MallaReddy University
Bachelor of Technology from ArtificialIntelligence And MachineLearning