Working on AI Agents(LLM).Scraped and organized data from the IIT Mandi website, storing it in a relational database.• Developed a resume parsing system, extracting information from PDFs and generating embeddings for efficientstorage and analysis.• Established and managed a Neo4j database for storing diverse datasets, optimizing for efficient querying andrelationships.• Conducted Twitter scraping for tweets and replies, storing the data for sentiment analysis and trend identification.• Implemented OpenAI’s API for a PDF-based question-answering system, enhancing information retrieval fromresumes

Maintained and optimized pretrained Variational Autoencoder (VAE) models for generating music, which were built on the TensorFlow framework on strong platform Google Colab Plus.Built an API to connect Reaper software, a digital audio workstation, with the VAE models, allowing forseamless integration and music generation through a specific PipelineDeveloped a recommendation system for music based on genres ,utilizing deep learning techniques such as LSTM and leveraging the output of the VAE models.