Rinkesh Kumar Meena

AI Researcher

Jaipur, Rajasthan, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Strong foundation in Electrical Engineering concepts.
Experience in training AI models for advanced mathematics.
Developed a Power Theft Detection System using machine learning.

Stackforce AI infers this person is a Data Scientist with a focus on AI and Electrical Engineering.

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Skills

Core Skills

Artificial IntelligenceMathematicsData AnalysisMachine Learning

Other Skills

Mathematical AnalysisQuantitative ResearchNumPyMicrosoft ExcelPythonScikit-learnPandasPhysicsAnalytical ThinkingTech & EngineeringHistorical ResearchElectrical EngineeringData Structures and AlgorithmsC++Java

About

My fascination with the field of Electrical Engineering has driven me to pursue coursework in areas such as Signal Systems, Digital Electronics, Digital Signal Processing, Control Systems, Power System, Power Electronics, Analog Electronics, Data Communication, Electrical Machines,Embedded Systems , Operating System and Computer Architecture. Through these studies, I have developed a strong foundation in the underlying concepts of these fields. I am staying up-to-date with GenAI and working on training AI math models on platforms Outliers AI and Alignerr. My expertise spans mathematics from beginner to advanced levels, particularly in linear Algebra, Advanced Calculus, Complex Analysis, Discrete Mathematics, and Geometry. If you're interested in connecting with a versatile, knowledgeable, and driven developer, I would be thrilled to connect with you on LinkedIn.

Experience

Outlier

Artificial Intelligence Trainer

Sep 2024 – Feb 2025 · 5 mos · San Francisco, California, United States · Remote

As an AI Model Trainer at Outlier AI, I train AI models in Mathematics, covering topics from Beginner to Advanced level, including Engineering Mathematics. My expertise extends to training AI models for research, with a particular focus on subjects like History, Geography, and Politics. I also train AI models in a variety of programming languages, including Python and C++. Additionally, I have significant experience in training AI models in the field of Electrical Engineering and have worked extensively with Large Language Models (LLM), applying advanced methodologies to solve complex problems.

Mathematical AnalysisQuantitative ResearchArtificial IntelligenceMathematics

Indian institute of technology, kharagpur

Power Theft Detection using Unsupervised Learning (Research Internship)

May 2023 – Jul 2023 · 2 mos · IIT Kharagpur · On-site

Developed a "Power Theft Detection System" through Unsupervised Learning using Python with Scikit-learn, NumPy, and Pandas
Applied K-means clustering to Kaggle Smart Meter Data, unveiling consumption patterns, conducted anomaly detection for irregularities
Utilized .CSV format from Kaggle, applied visualizations to understand the distribution, and identified anomalies through various plots
Systematically operated the unsupervised models for systematic testing, training, and data optimization, resulting in improved accuracy
Illustrated anomaly detection's role in weather-impacted household energy usage,identifying faults,excess consumption and intrusions

NumPyMicrosoft ExcelData AnalysisMachine Learning