Anuj  ·  Senior AI / GenAI Engineer  ·  5+ yrs

Overview: PreCAll AI is an innovative platform designed to enhance the efficiency and effectiveness of customer interactions through advanced AI-driven solutions. Responsibilities: Developed and fine-tuned generative AI models to produce high-quality, contextually relevant outputs across various applications. Designed, implemented, and trained machine learning models to handle various tasks such as predictive analytics, natural language understanding, and automated responses.

Overview: The project aimed to develop an intelligent system capable of reading, extracting, and processing text from PDF documents. Responsibilities: Created efficient algorithms using PyPDF2 to extract text from various PDF documents, handling different layouts and formats. Integrated the Llama3 70b model from Groq through its API to harness advanced language understanding capabilities.

Overview: This project enhanced the capabilities of the Phi2 language model by fine-tuning it on a specific dataset. Responsibilities: Fine-tuned the Phi2 model using Python, PyTorch, and Hugging Face Transformers. Prepared and processed data using Pandas and scikit-learn.

Overview: This project focused on building a robust application leveraging OpenAI's NLP capabilities and Langchain for secure translations. Responsibilities: Integrated OpenAI API for NLP functionalities. Implemented Langchain for secure translations.

Overview: This project involved developing a web application that reads, processes, and visualizes CSV data based on user prompts. Responsibilities: Utilized Pandas to read and save CSV files, ensuring efficient data manipulation and storage.