Ramesh Reddy Palwai

Pioneered the development and deployment of an on-page AI Agent for SEO Dashboard to transform individual element analysis into actionable, page-level optimisation insights.

As a Data Scientist, Engineered a Retrieval-Augmented Generation (RAG) chatbot utilising Large Language Models (LLMs) and vector databases to deliver precise, context-aware responses to complex user queries. Architected and operationalised Transformer-based NLP pipelines by implementing topic modelling and multi-label classification and serving them via high-performance FastAPI microservices.

In this role, I have implemented ticket sales forecasting model for the Entertainment industry. Recognized for successfully extracting, processing, and combining data from multiple sources, such as client DBs & external sources (APIs). To design segmentation models, I have utilized clustering techniques based on customer interests, order frequency, and the number of items per order. Gathered and examined transaction data from ticketing systems and E-Commerce.

Developed a machine learning model to analyze the data acquired from system sensors along with real world data. Responsibilities: Data cleaning, feature engineering, optimization and implementation of classification and regression models.

Developed an ANN model to identify different operating conditions of a valve with. Responsibilities: Data acquisition, data cleaning and implementation of machine learning & ANN models

Worked on development of SQL and stored procedures on PostgreSQL. Implemented Python code for automatic provider ranking.

Subjects:- Pattern Recognition , Pattern Analysis, C++ Programming, programmable techniques for supercomputer. Projects:- Optical flow implementation with C++ and CUDA programming. Seminars:- Human Activity Recognition, and Intel Many Integrated Core Architecture

Subjects:- Control systems, Power systems, Power Electronics, Instrumentation, Network theory, Machines Thesis:- Enhancement of Micro turbine-Generator Output Voltage Quality through Application of Matrix Converter Interface.