Sai Prathek Kotha

• Developed and fine-tuned GPT-based models for enterprise applications, using RAG and Agents. Integrated machine learning and LLM models with real-world enterprise systems, focusing on scalable and robust applications for business operations.

Project 1: SSGPT - Retrieval-Augmented Generation (RAG) Application

• Implemented advanced RAG techniques to process and parse complex PDFs and Word documents for efficient data extraction and retrieval.
• Applied machine learning models to detect anomalies and irregularities in document formatting and data patterns, improving the accuracy of information retrieval.
• Designed REST APIs for backend systems to allow seamless interaction between document processing and LLM models.

Project 2: Alpha Copilot - Text-to-SQL Application

• Developed a text-to-SQL model utilizing large language models (LLMs) to convert natural language queries into SQL commands.
• Worked on resolving ambiguous text-to-SQL issues by fine-tuning models and integrating automated anomaly detection mechanisms to identify invalid queries or patterns in user inputs.
• Built robust backend services using Flask and Node.js for seamless integration with databases, ensuring secure data handling and query processing.

• Anomaly Detection & Cybersecurity:
  Developed machine learning models for real-time anomaly detection and cybersecurity applications, such as intrusion detection systems (IDS) and network monitoring, identifying suspicious behaviors and preventing security breaches.
• E-Commerce Backend:
  Developed a secure, API-driven backend for an e-commerce platform, implementing fraud detection to monitor suspicious transactions. Leveraged AWS Lambda for serverless architecture and utilized CI/CD pipelines for secure deployments.