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AI Engineer with less than a year in Machine Learning & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science student with 4+ years of academic experience, skilled in programming and data analysis. Built a web application for rice leaf disease detection using deep learning, achieving 92.46% accuracy. Developed a machine learning model to predict employee salaries, showcasing full-stack data science application development. Looking to leverage technical skills to deliver quality results in a collaborative environment.
QIS College of Engineering and Technology
Bachelor of Technology · Computer Science and Engineering
October 1, 2022 – June 30, 2026
Edunet Foundation
AIML Intern
June 1, 2025 – July 1, 2025
India
Eduskills
Data Science Master virtual intern
July 1, 2024 – September 1, 2024
India
AI-Based Rice Leaf Disease Detection
August 1, 2025 – August 1, 2025
Developed a web application for rice leaf disease detection using a fine-tuned VGG16 deep learning model trained on 1,500+ images Enabled farmers to register and upload leaf images for real-time disease classification Achieved an accuracy of 92.46%, providing an efficient solution for early crop disease identification
Employee Salary Prediction
July 1, 2025 – July 1, 2025
Engineered a machine learning model using Python and Streamlit to predict employee salaries, showcasing full-stack data science application development • Implemented key machine learning techniques, including data cleaning, label encoding, and feature engineering, and evaluated model performance using metrics like RMSE and R2 score • Successfully deployed an interactive web application that allows users to predict salaries based on various input parameters
SQL-HackerRank
HackerRank
July 1, 2025 – Present
Delloite Australia-Data Analytics Job Simulation-Forage
Forage
June 1, 2025 – Present
Python Programming-Codetantra
Codetantra
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on practical, problem-solving applications of AI/ML, such as disease detection and salary prediction. Participation in a hackathon and a poster presentation indicates an interest in collaborative and competitive environments. The internships, though short, show an eagerness to gain real-world experience. The breadth of skills listed (Python, Java, SQL, ML, Deep Learning) suggests adaptability and a willingness to learn diverse technologies relevant to an AI Engineer role.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Problem Solving', 'Teamwork', and 'Communication' as soft skills. Project descriptions indicate an ability to work on end-to-end solutions, from model development to deployment, suggesting a proactive and problem-solving approach. The academic background and internship experiences, though brief, show an inclination towards practical application of learned concepts.