Krishna Vijay Singh

AI Engineer

IIT Hyderabad

Varanasi, Uttar Pradesh, India

Since April 27, 2026

Skills

Full-stackDevOpsJava.NET DevelopersNode.js

Education

IIT Hyderabad

M.TECH · AI ML

June 3, 2025 – May 14, 2026

Key Strengths

Strong academic foundation with a future M.Tech in AI/ML from IIT Hyderabad, indicating high learning potential and theoretical understanding.
Proficiency in Python, core machine learning algorithms (Linear/Logistic Regression, Decision Trees, Random Forest, KNN, SVM), and data analysis libraries (Pandas, NumPy).
Hands-on experience in building end-to-end ML models for regression and sentiment analysis through projects, demonstrating practical application of foundational skills.
Solid SQL skills for data manipulation, reporting, and query optimization, which are valuable for data-intensive AI projects.
Proven coding aptitude and problem-solving skills, evidenced by HackerRank AIR 1 (Java) and National Coding Hackathon Winner.
The candidate's profile aligns with foundational AI/ML concepts, making them a potential fit for an entry-level or junior AI Engineer role, rather than the stated experience level of '3'.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data due to a score of 0 on the psychometric test, which evaluates work attitude, stress handling, and team collaboration. This indicates a critical lack of information regarding the candidate's cultural alignment and ability to work effectively within a team.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong academic foundation with a future M.Tech in AI/ML from IIT Hyderabad, indicating high learning potential and theoretical understanding.
Proficiency in Python, core machine learning algorithms (Linear/Logistic Regression, Decision Trees, Random Forest, KNN, SVM), and data analysis libraries (Pandas, NumPy).
Hands-on experience in building end-to-end ML models for regression and sentiment analysis through projects, demonstrating practical application of foundational skills.
Solid SQL skills for data manipulation, reporting, and query optimization, which are valuable for data-intensive AI projects.
Proven coding aptitude and problem-solving skills, evidenced by HackerRank AIR 1 (Java) and National Coding Hackathon Winner.
The candidate's profile aligns with foundational AI/ML concepts, making them a potential fit for an entry-level or junior AI Engineer role, rather than the stated experience level of '3'.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit