Prateek Khandelwal

SQL DEVELOPER

• Developed stored procedures, functions, and triggers to support application requirements in SQL Server (SSMS).
• Optimized stored procedures for improved performance using advanced SQL query tuning techniques in SQL Server.
• Designed and implemented user roles and permissions, ensuring data security and controlled access.
• Developed custom SQL reports for business users, providing real-time insights and supporting data-driven decision making.

ML/AI developer

• Developed a comprehensive ML framework aimed at enhancing user productivity through actionable recommendations, utilizing machine learning models such as Linear Regression, Decision Trees, Random Forest, and Gradient Boosting for output and productivity prediction.
• Implemented end-to-end data preprocessing steps, including imputation, encoding, feature maximization, and normalization.
  
• Designed and optimized ML pipelines for training, validation, and deployment, ensuring robust performance through systematic hyperparameter tuning and model selection based on best metrics.
• Integrated large language models (LLMs), specifically LLaMA 3.1, into the framework to enhance recommendation generation and improve user interaction through a chatbot interface.
• Developed a Retrieval-Augmented Generation (RAG) system within the framework, enabling enhanced contextual responses and tailored recommendations for specific use cases.
• Collaborated cross-functionally to ensure alignment between UI/UX, API development, and ML functionality, improving overall usability and effectiveness of the platform.
• Utilized Python and relevant ML libraries (such as scikit-learn, pandas, NumPy, and Flask) for model building, deployment, and API integration, ensuring scalability and modularity of the ML framework for future enhancements