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AI Engineer with 1+ years in Machine Learning & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level AI/ML Engineer with hands-on experience in building machine learning models, data preprocessing, and backend integration. Proficient in Python, SQL, and core ML libraries with practical exposure to deploying data-driven applications. Strong understanding of data pipelines, model evaluation, and software engineering fundamentals, with interest in scalable AI systems.
Visvesvaraya Technological University
Bachelor of Engineering · Computer Science and Engineering
August 1, 2021 – June 30, 2025
WynTeam Global
Software Engineer Intern
August 1, 2025 – December 1, 2025
Bengaluru, Karnataka, India
NSDC
AI/ML Intern
June 1, 2025 – June 1, 2026
India
System Tron
Python Developer Intern
June 1, 2025 – June 1, 2026
India
Machine Learning Prediction System
June 4, 2026 – Present
Developed a machine learning model using scikit-learn for prediction tasks (classification/regression). Performed data cleaning, preprocessing, and feature engineering using pandas and numpy Evaluated model performance using metrics such as accuracy, precision, and recall. Built a simple pipeline to automate training and testing workflow.
AI-Based Data Analysis Application
June 4, 2026 – Present
Designed a backend system to process and analyze datasets using Python. Implemented data ingestion and transformation logic for structured datasets. Integrated SQL queries for efficient data retrieval and storage. Generated insights through data visualization and reporting.
Cultural Fit Analysis
The candidate's academic projects and internships align with an entry-level AI/ML role, demonstrating interest and foundational skills in the target area. The diversity of internships (ServiceNow, AI/ML, Python Development) shows a breadth of exposure, though the depth in each area is limited due to the entry-level nature. The candidate appears to be a good fit for a learning-intensive environment.
Soft Skills & Operational Fit
The candidate's resume indicates an ability to work on defined tasks within a team, as evidenced by internship descriptions. The focus on academic projects and internships suggests a learning-oriented individual. However, there is insufficient data to assess advanced soft skills like leadership, complex problem-solving under pressure, or cross-functional collaboration.