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AI Engineer with less than a year in Machine Learning, Blockchain, and Full-stack Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To typically focus on personal and professional growth while contributing to innovative software development projects
RNS Institute of Technology
B.E. · Information Science & Engineering
August 1, 2022 – June 30, 2026
Tungal PU College
PUC · Science
June 1, 2020 – May 31, 2022
Nandi International School
10th
N/A – May 31, 2020
Prediction Of Market Using Machine Learning And Blockchain
June 1, 2025 – January 1, 2026
This project integrates Machine Learning and Blockchain to provide secure, transparent, and accurate market prediction using decentralized smart contracts
AI based agent rating system
May 1, 2025 – June 1, 2025
An interactive AI-based rating predictor that evaluates an agent's performance based on "sales, reviews, and response time".
Cozywear
April 1, 2024 – December 1, 2024
Developed a full-stack e-commerce platform, CozyWear, similar to Myntra with advanced features like personalized recommendations, wishlist, and secure checkout. An interactive Svelte frontend for seamless user experience.
Database Management System (Infosys Springboard)
Infosys Springboard
June 1, 2026 – Present
Advanced Programming using Python (Infosys Springboard)
Infosys Springboard
June 1, 2026 – Present
Amazon ML Summer School 2025
Amazon
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including AI/ML, blockchain, and e-commerce, shows a broad interest in various technical domains. The academic nature of all projects and lack of professional experience suggest a learning-oriented individual. The target role of 'AI Engineer' aligns well with the candidate's stated interests and project focus on AI/ML. However, the absence of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's academic projects demonstrate an ability to work in teams (team sizes 3, 4, 8) and apply theoretical knowledge to practical scenarios. The descriptions suggest a focus on developing functional systems. However, without specific psychometric or English test scores, a detailed assessment of soft skills, work attitude, stress handling, and team collaboration cannot be made.