With a Master's degree in Machine Learning, Deep Learning, GenAI, Big Data, and Business Analytics, I bring over 9.6 years of IT experience, excelling in the Software Development Life Cycle. I offer a unique blend of design, programming, model building, and deployment expertise.My forte lies in developing interactive Contextual Chatbots using GenAI, NLP, RASA, Google Dialogflow, and PyTorch. Proficient in Machine Learning and Deep Learning algorithms, I specialize in Regression Models, Decision Trees, Sentiment Analysis, Naïve Bayes Classifier, SVM, and Ensemble Models.I've implemented speech-to-text algorithms with OpenAI and devised question-and-answer systems using Transformers, streamlit, and GenAI capabilities. Leveraging Google Palm and Llama models enhanced language understanding and generation features.Notable projects include deploying the Learning to Rank (LTR) algorithm for document re-ranking and architecting scalable solutions with Azure Components like HDInsight, Data Factory, and Azure Databricks to tackle business challenges effectively.My responsibilities span developing enterprise search engines, enabling Big Data Integration and Analytics using Snowflake, Hadoop, Apache Solr, Elasticsearch, Spark, Kafka, and web methods. I excel in indexing, cleaning, and processing vast data volumes for real-time analytics with SolrCloud / Elastic clusters.Leading data migration efforts involving HDFS and various data storage systems, I extract insights from log files, integrating them into Elasticsearch using Logstash and Beats. Designing a Unified Analytics Platform for Retail, Telecom, Healthcare, and Manufacturing involved handling Peta-byte scale data in real-time.Proficient in integrating RDBMS and MongoDB data with Apache Superset and Banana for BI solutions, I focus on revenue growth opportunities based on sales, customer, and industry data. Passionate about GenAI, LLM, and conversational AI, I drive AI innovation to create transformative solutions in data science and artificial intelligence.