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Pratik Khetmalis

Pratik Khetmalis

AI ENGINEER | MACHINE LEARNING ENGINEER | GENERATIVE AI

Talent
PuneMember since October 17, 2026
PythonSQLRAGLangChainHugging FaceEmbeddingsFAISSSentence TransformersScikit-learnXGBoostLightGBMPandasNumPyEDAData CleaningData ValidationFeature EngineeringCTEsWindow FunctionsHyperparameter TuningCross-ValidationROC-AUCPrecisionRecallF1-ScoreConfusion MatrixSHAPFastAPIFlaskStreamlit
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PythonSQLRAGLangChainHugging Face

About

AI/ML Engineer with 2+ years of professional experience in Data Analytics, Python, SQL, and machine learning, with hands-on development of Generative AI and RAG applications. Experienced in end-to-end ML workflows including data preprocessing, feature engineering, model optimization, explainability, experiment tracking, API development, and deployment. Hands-on with LangChain, Hugging Face, embeddings, FAISS, FastAPI, Flask, Streamlit, Scikit-learn, XGBoost, LightGBM, SHAP, and MLflow.

Experience

Associate Software Engineer, Data Analytics - Tech Mahindra - Pune, India

(2024-03 - 2026-03)

  • Developed optimized SQL queries using joins, CTEs, window functions, and aggregations to analyze large business datasets.
  • Performed end-to-end exploratory data analysis using Python, Pandas, and NumPy to identify business trends and support data-driven decision-making.
  • Automated repetitive reporting processes through Python scripting, reducing manual effort and improving operational efficiency.
  • Designed data validation workflows to improve data quality, consistency, and accuracy across analytical pipelines.
  • Collaborated with business analysts and cross-functional teams to translate business requirements into technical solutions using Agile methodologies.
  • Used Git/GitHub for version control and developed reusable analytical workflows for reporting and data analysis.

Machine Learning Intern - Prodigy InfoTech - Remote

(2023-10 - 2023-11)

  • Built end-to-end data preprocessing pipelines using Python and Scikit-learn.
  • Performed data cleaning, feature engineering, feature selection, and model evaluation on real-world datasets.
  • Developed classification and regression models and improved performance using hyperparameter tuning and cross-validation.
  • Documented the ML model development lifecycle and analytical workflow.

Education

Bachelor of Engineering - Computer Engineering - International Institute of Information Technology, Pune

Skills

AI ENGINEERMACHINE LEARNING ENGINEERGENERATIVE AI

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