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Sai Sreenikethan Avuthu

Sai Sreenikethan Avuthu

Machine Learning Engineer - AI & ML Systems

INDIA flag
Hyderabad, India
$5.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
ImageImage
TextText

Top Label Types

Action Recognition
Audio Recording
Bounding Box
Classification
Computer Programming Coding
Cuboid
Data Collection
Diagnosis
Emotion Recognition
Entity Ner Classification
Evaluation Rating
Fine Tuning
Land Cover Classification
Mapping
Object Detection
Prompt Response Writing SFT
Question Answering
RLHF
Text Generation
Translation Localization

Freelancer Overview

I am an applied machine learning engineer with hands-on experience in AI data consulting, focusing on data annotation, model validation, and response quality assessment for large-scale datasets. My work includes identifying edge cases, inconsistencies, and providing structured feedback to improve the reliability and performance of AI systems. I am proficient in Python, SQL, and key ML tools such as Scikit-learn, XGBoost, Pandas, and NumPy, and have experience deploying models as REST APIs for real-time inference. My projects span time-series forecasting, ensemble models, and end-to-end ML pipelines, including IoT-based air quality prediction and phishing URL detection. I am passionate about ensuring high-quality, well-annotated training data that drives robust and accurate AI models.

IntermediateEnglishTeluguHindiJapanese

Labeling Experience

AI Data Consultant

OtherTextRLHFEvaluation Rating
Evaluated and validated AI model outputs by identifying edge cases, inconsistencies, and failure patterns across large-scale datasets. Performed response quality assessment and data annotation to ensure alignment with task intent and downstream system behavior. Provided structured feedback used in iterative model refinement, contributing to improved reliability and consistency of production AI systems.

Evaluated and validated AI model outputs by identifying edge cases, inconsistencies, and failure patterns across large-scale datasets. Performed response quality assessment and data annotation to ensure alignment with task intent and downstream system behavior. Provided structured feedback used in iterative model refinement, contributing to improved reliability and consistency of production AI systems.

2024 - 2025

Education

J

Joginpally B.R. Engineering College

Bachelor of Technology, Computer Science (Artificial Intelligence and Machine Learning)

Bachelor of Technology
2021 - 2025
S

Sree Chaitanya Junior College

Intermediate, Mathematics, Physics, Chemistry

Intermediate
2019 - 2021

Work History

N

Neuro Nexsus Innovaations

Machine Learning Interb

Hyderabad
2024 - 2024