Saiabhiram Reddy Gurrala

Employee Salary Prediction using Machine Learning

• Constructed a machine learning regression model leveraging HR data to enhance salary prediction accuracy.
• Implemented data preprocessing techniques, specifically label encoding and feature scaling, to prepare datasets for analysis and modeling.
• Assessed and interpreted model performance metrics, including mean absolute error (MAE) and R², to optimize predictive outcomes.
• Orchestrated integration of machine learning models, ensuring accurate real-time salary forecasts to support strategic planning.
• Coordinated efforts with IBM SkillsBuild to implement innovative learning solutions for skill enhancement.
• Achieved streamlined data analysis through effective use of Python and Pandas. Enhanced data processing capabilities with NumPy, resulting in improved efficiency. Delivered impactful machine learning solutions utilizing Scikit-learn.

AI Chatbot for User Queries

Role: Python Developer

• Designed and implemented an AI chatbot that utilizes RAG and LLMs to provide accurate answers to user queries sourced from a comprehensive knowledge base.
• Developed and integrated vector database to support efficient and accurate semantic search functionalities.
• Designed and implemented advanced prompt engineering frameworks and AI techniques to optimize the accuracy and relevance of generated responses.
• Analyzed user interactions to boost chatbots response precision and elevate query handling efficiency.

Technologies: Python, LLM, Vector Database, RAG

Eco Efficient Solutions

Role: Full Stack Developer

• Created a web-based waste management system to automatewaste collection and categorization processes.
• Built backend logic using Java to manage waste classification and bin management.
• Integrated frontend JSP interfaces with backend services for efficient waste tracking.
• Enhanced operational efficiency through automation and centralized data management.

Technologies: Java, JSP

Customizable Online Marketplace for Handmade Products

Role: Full Stack Developer

• Developed a full-stack e-commerce platform enabling artisans to create storefronts and manage handmade product listings.
• Designed responsive user interfaces using Next JS and Tailwind CSS.
• Built backend APIs using Node JS and MongoDB for product and order management.
• Deployed the application on Vercel for scalable hosting and performance.

Technologies: Next JS, Tailwind CSS, Node JS, MongoDB, Vercel