PINREDDY MOKSHITHA

AI Engineer

https://talent.gravityer.com/pinreddy-mokshitha

AI Engineer with less than a year in Machine Learning and Data Analytics.

India

Key Strengths

Strong foundational knowledge in Artificial Intelligence and Data Science, evidenced by academic background and project work.
Practical experience with various AI/ML frameworks and libraries including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.
Demonstrated ability to apply machine learning models (CNN, Linear Regression, Random Forest) to real-world problems like medical image analysis and power forecasting.
Experience with data preprocessing, cleaning, and visualization using tools like Power BI and Tableau.
Exposure to advanced AI concepts such as Generative AI, LLMs, Prompt Engineering, and RAG.
Experience in leading a team for an end-to-end application development project.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate a diverse interest in applying AI to different domains (healthcare, renewable energy, agriculture), which indicates adaptability and a broad perspective. The team leadership experience also suggests a collaborative mindset. However, the overall experience level is entry-level, which might require more mentorship and integration into a senior-level team's culture.

Soft Skills & Operational Fit

The candidate lists several soft skills including analytical thinking, problem-solving, communication, and teamwork, which are crucial for an AI Engineer role. The resume also indicates experience with Agile and Scrum methodologies, suggesting an understanding of modern development practices. However, without direct assessment data, the practical application and proficiency of these soft skills cannot be fully validated.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Skills

PythonSQLJavaC++Generative AiLarge Language Models (Llms)Prompt EngineeringAi AgentsRetrieval Augmented Generation (Rag)supervised-learningDeep LearningFeature EngineeringModel EvaluationPredictive ModelingTensorFlowPyTorchScikit LearnOpencvHugging Face TransformersRest ApisJSONData PreprocessingData CleaningData ValidationPower BITableauData AnalysisData VisualizationGitGithubJupyter NotebookProblem SolvingCommunicationTeam CollaborationAdaptabilityAgile MethodologyScrum FrameworkPublic SpeakingTime Management

Key Strengths

Strong foundational knowledge in Artificial Intelligence and Data Science, evidenced by academic background and project work.
Practical experience with various AI/ML frameworks and libraries including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.
Demonstrated ability to apply machine learning models (CNN, Linear Regression, Random Forest) to real-world problems like medical image analysis and power forecasting.
Experience with data preprocessing, cleaning, and visualization using tools like Power BI and Tableau.
Exposure to advanced AI concepts such as Generative AI, LLMs, Prompt Engineering, and RAG.
Experience in leading a team for an end-to-end application development project.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

PINREDDY MOKSHITHA

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Key Strengths

Cultural & Operational Fit