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AI Engineer with less than a year in AI & Data Science with skills in Python, ML, and data analysis.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented final-year B.Tech student in Artificial Intelligence and Data Science with skills in Python, Java, SQL, Machine Learning, and data analysis. Seeking an entry-level opportunity to apply programming, analytical, and problem-solving skills while contributing to projects, gaining practical experience, and continuously improving technical knowledge in a professional environment.
Saveetha Engineering College
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Young's Mind Technology Solution Pvt Ltd
AI Intern
October 1, 2025 – November 1, 2025
India
AI RESUME ANALYZER USING RAG
July 1, 2025 – December 1, 2025
Developed an AI-powered Resume Analyzer using Retrieval-Augmented Generation (RAG) concepts to extract and retrieve relevant information from uploaded resume PDFs with 92% retrieval accuracy. Built an interactive web application using Streamlit that allows users to upload resumes and ask contextual questions about candidate skills, projects, and education. Implemented document processing using LangChain with Recursive Character Text Splitting for efficient text chunking and retrieval. Generated semantic embeddings using HuggingFace Sentence Transformers and stored them in a FAISS vector database for similarity-based search. Designed query-based information extraction logic to provide precise and filtered responses instead of returning entire resume content. Improved retrieval quality through dynamic keyword filtering and section-based extraction techniques. Technologies used include Python, Streamlit, LangChain, HuggingFace Embeddings, FAISS Vector Database, Sentence Transformers, and Machine Learning concepts.
REAL-TIME WEATHER PREDICTION SYSTEM
January 1, 2025 – June 1, 2025
Developed a real-time weather prediction system by collecting live weather data through REST APIs and processing historical datasets for analysis. Built machine learning models using Python to predict temperature and humidity using Linear Regression and Decision Tree algorithms. Performed data preprocessing tasks such as handling missing values, data cleaning, and feature engineering to improve model accuracy. Evaluated model performance using a train-test split and achieved an R² score of approximately 0.85. Created data visualizations using Matplotlib to analyze weather trends and present prediction results effectively. Technologies used include Python, Pandas, NumPy, Scikit-learn, Matplotlib, REST API, and Machine Learning.
AWS Educate - Machine Learning Foundations
AWS Educate
June 1, 2026 – Present
Python 101 for Data Science
IBM
June 1, 2026 – Present
AWS Educate - Generative AI Badge
AWS Educate
June 1, 2026 – Present
MongoDB and the Document Model
MongoDB University
June 1, 2026 – Present
Deep Learning and Its Applications
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI and Data Science, coupled with projects like the AI Resume Analyzer and Weather Prediction System, shows a strong interest and alignment with an AI Engineer role. The certifications in Generative AI and Deep Learning further reinforce this fit. The diversity of tools and concepts explored (RAG, ML models, data visualization, web apps) suggests a proactive learning attitude. However, the limited professional experience (one-month internship) means cultural fit beyond academic settings is largely unproven.
Soft Skills & Operational Fit
The candidate's resume highlights teamwork, time management, adaptability, and communication as soft skills. The internship experience, though brief, involved collaboration and understanding software development workflows, indicating a foundational operational fit. The academic projects demonstrate initiative and problem-solving abilities.