
MUPPALLA PREM NITHIN
@muppallapremnithin
I validate AI technical content and build reliable data pipelines using Python and SQL.
What I'm looking for
At Innodata Group, I reviewed and validated quantitative and science-domain Q&A datasets for enterprise AI/LLM clients, identifying factual and reasoning errors against source material and reference solutions. I produced structured feedback for technical and non-technical stakeholders and escalated recurring dataset issues to support systemic quality improvements.
I've also built Python and SQL ETL pipelines, validation checks, and statistical reporting solutions at AtliQ Technologies and MedTourEasy. My Mechanical Engineering foundation from IIT Bhubaneswar supports my work with probability, statistics, numerical methods, optimisation, Python, SQL, and technical documentation.
Experience
Work history, roles, and key accomplishments
Reviewed and validated technical Q&A datasets for AI/LLM clients, checking factual accuracy and reasoning against source material. Applied structured rubrics to evaluate AI-generated responses and produced structured written feedback for technical and non-technical stakeholders.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Bhubaneswar
Bachelor of Technology, Mechanical Engineering
2019 - 2023
Grade: 7.06/10 CGPA
Pursued a Bachelor of Technology in Mechanical Engineering, with relevant coursework in probability and statistics, numerical methods, and optimisation.
Board of Intermediate Education, Telangana
Intermediate, Mathematics, Physics, and Chemistry
Grade: 87%
Completed Intermediate education with a focus on Mathematics, Physics, and Chemistry, achieving 87%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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