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Vinay Dodla

Vinay Dodla

AI/ML-Driven Data Engineer with Secure IoT & ETL Pipeline Expertise Data E

USA flagLawrence , Usa
$50.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Action RecognitionAction Recognition
ClassificationClassification
Computer Programming/CodingComputer Programming/Coding
Data CollectionData Collection
Emotion RecognitionEmotion Recognition

Freelancer Overview

I bring strong experience in AI training data and data labeling through hands-on work with diverse datasets across text, image, and sensor domains. As a Graduate Research Assistant at the University of Kansas, I built secure data pipelines for IoT sensor networks, performing rigorous QA/QC and automation to maintain data integrity. My MOVE Fellowship involved evaluating large-scale AI/ML datasets and designing domain-specific prompts to test and improve model reasoning, giving me direct exposure to high-quality data annotation and validation practices. Along with my expertise in SQL, Python, and ETL workflows, I have worked on projects such as Faulty Fan Detection using embedded ML, loan default prediction using interpretable models, and IoT telemetry capture with AWS IoT. This combination of technical skill and practical AI/ML experience enables me to deliver accurate, well-structured datasets and contribute to the development of reliable AI systems.

Entry LevelHindiEnglish

Labeling Experience

MOVE Fellowship – AI/ML Dataset QA & Prompt Design

OtherTextEntity Ner Classification
Evaluated and annotated large-scale text datasets to improve model reasoning and accuracy. Designed domain-specific prompts and performed detailed QA/QC to ensure data consistency and correctness across thousands of samples. Delivered high-quality annotations used to fine-tune and benchmark advanced language models.

Evaluated and annotated large-scale text datasets to improve model reasoning and accuracy. Designed domain-specific prompts and performed detailed QA/QC to ensure data consistency and correctness across thousands of samples. Delivered high-quality annotations used to fine-tune and benchmark advanced language models.

2025

Education

U

University of Kansas

Master of Science, Computer Science

Master of Science
2023 - 2025

Work History

M

MOVE Fellowship (Handshake)

Canary Fellow

Remote
2025 - Present
N

National Center for Construction Safety, KU

Graduate Research Assistant

Lawrence, KS
2023 - 2024