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AI Engineer with less than a year in machine learning applications, predictive analytics, and data a
AI-ML Engineer with hands-on experience building machine learning applications, predictive analytics workflows, and AI-driven solutions using Python, Scikit-learn, TensorFlow, Pandas, and NumPy. Skilled in data preprocessing, feature engineering, exploratory data analysis (EDA), model evaluation, and developing scalable AI workflows for analytical applications. Familiar with Generative AI concepts including Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and LangChain. Passionate about applying AI and machine learning to solve real-world business problems and build intelligent software solutions.
Sreyas Institute of Engineering and Technology
Bachelor of Technology · Artificial Intelligence and Machine Learning
August 1, 2020 – June 30, 2024
Synent Technologies
Web Development Intern
April 1, 2026 – May 31, 2026
India
Elevate Labs
AI-ML Engineer Intern
September 1, 2025 – November 30, 2025
India
Intern Pe
AI-ML Engineer Intern
January 1, 2025 – May 31, 2025
India
Devtown
Data Scientist Intern
March 1, 2023 – June 30, 2023
India
Fake News Detection System
January 1, 2026 – February 28, 2026
Built NLP-based text classification models using Count Vectorization and Logistic Regression for fake news detection. Trained and evaluated models on 10K+ labeled news articles achieving 92% classification accuracy. Performed text preprocessing, feature engineering, experimentation, and model validation improving prediction reliability. Developed a Streamlit-based inference application enabling real-time fake news prediction workflows.
View ProjectCustomer Churn Prediction
August 1, 2025 – September 30, 2025
Developed predictive machine learning models using Python and Scikit-learn on 2,000+ customer records. Conducted exploratory data analysis, feature engineering, statistical validation, and customer behavior analysis. Achieved 97% prediction accuracy through model optimization, hyperparameter tuning, and comparative evaluation. Generated actionable customer retention insights enabling data-driven marketing and business strategies.
View ProjectIBM SQL and Relational Databases
IBM
June 1, 2026 – Present
Python Programming Bootcamp
UDEMY
June 1, 2026 – Present
IBM Machine Learning Specialist
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including NLP-based text classification and customer churn prediction, demonstrates a broad interest in applying AI/ML to different problem domains. The internships across various companies (Synent Technologies, Elevate Labs, Intern Pe, Devtown) suggest adaptability and a willingness to learn in different organizational settings. The target role of AI Engineer aligns well with the candidate's educational background in AI/ML and practical experience, indicating a strong cultural fit for an AI-focused team.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, communication, collaboration, analytical thinking, and learning agility as soft skills. These are essential for an AI Engineer role, indicating a good operational fit for collaborative and analytical environments. The project descriptions show an ability to translate technical work into business impact (e.g., 'actionable customer retention insights').