Krishna Priya Siram

AI/ML Engineer – RAG

https://talent.gravityer.com/krishna-priya-siram

Hyderābād, Telangana, IndiaMember since June 2, 2026

Key Strengths

Exposure to AI/ML concepts through the 'AI Mock Interview Application' project, specifically integrating Gemini AI API and dynamic question generation.
Experience with machine learning model development using Random Forest for the 'Diabetes Prediction Model', including data preprocessing and feature selection.
Proficiency in Python, a core language for AI/ML, and experience with Flask for backend development.
Familiarity with cloud computing fundamentals and AWS Basics, which are relevant for deploying AI/ML solutions.
Understanding of core concepts like DSA and OOP, foundational for robust software development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate an interest in AI/ML, IoT, and web development, showing a breadth of technical curiosity. However, the experience level is very low (0 years stated, with internships), and the target role is 'AI/ML Engineer – RAG', which is a specialized senior role. The current profile suggests a foundational understanding rather than the deep expertise typically required for a senior AI/ML Engineer, indicating a significant gap in cultural and role fit for a senior position.

Soft Skills & Operational Fit

The resume indicates collaboration in a web developer intern role and project-based work, suggesting an ability to work in teams. However, specific soft skills like problem-solving, adaptability, or leadership are not explicitly detailed or demonstrated through the provided data.

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Key Strengths

Exposure to AI/ML concepts through the 'AI Mock Interview Application' project, specifically integrating Gemini AI API and dynamic question generation.
Experience with machine learning model development using Random Forest for the 'Diabetes Prediction Model', including data preprocessing and feature selection.
Proficiency in Python, a core language for AI/ML, and experience with Flask for backend development.
Familiarity with cloud computing fundamentals and AWS Basics, which are relevant for deploying AI/ML solutions.
Understanding of core concepts like DSA and OOP, foundational for robust software development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit