RaviKiran Thotapalli

Results-driven AI Solutions Architect with a solid track record at Hewlett-Packard Enterprise, specializing in the design and implementation of cutting-edge data-driven projects. Expertise in Python and machine learning has led to significant improvements in operational efficiency. Proven ability to transform complex data into actionable insights, fostering a culture of innovation and technological excellence.

I hereby solemnly declare that the above-mentioned information is true to the best of my knowledge and belief.

Hewlett-Packard Enterprise, Gen AI Lead, ChatHPE, This project involves developing a platform called ChatHPE, designed to help users interact with documents and generate responses using GPT models., Architected and developed highly customizable chatbot solutions., Developed and implemented AI Chat features., Designed and developed models to extract and preprocess text from images and documents., Enhanced user session management., Optimized the user interface for better navigation and interaction., Configured and managed settings for AI sessions., Provided detailed user guides and training materials., Troubleshot and resolved issues related to the application. Hewlett-Packard Enterprise, Gen AI Lead, AI/ML for Server outages, The idea is to reduce revenue loss by creating a sustainable Model to handle the CPU load., Lead the collection, integration, and cleaning of historical performance data., Managed data preprocessing tasks., Collaborated with teams to extract and engineer features., Conducted advanced exploration data analysis., Developed, validated, and optimized machine learning models., Implemented automated scripts for load balancing., Lead the development of a notification system., Generated regular reports on CPU load trends. Global Logic, Data Scientist, PlanSource, At PlanSource, we are committed to delivering the best possible benefits experience., Utilized machine learning to extract and manipulate data., Architected and developed highly customizable chatbot solutions., Accountable for preparing technical specifications., Delivered actionable insights through data analysis., Predicted event attendees using boosting techniques., Implemented look-alike modeling., Developed personalized content recommendation systems., Developed predictive models to identify high-risk employees., Used ML model to segment employees., Forecasted peak demand. Epsilon, Big Data Engineer, Bank of America (BOFA), Epsilon is an all-encompassing global marketing innovator., Designed and developed scalable, high-performance data pipelines., Expertise in writing efficient PySpark code., Developed and optimized ETL processes., Experienced in tuning PySpark applications., Integrated and processed data from relational and NoSQL databases. Sapient, Big Data Engineer, JHI (John Hancock Financial Services), John Hancock provides innovative life insurance, investment, retirement & advice. Accenture, SQL Developer, The project involved developing a web portal interface for online shopping. I Support, Software Trainee, BD-EDW is a Business Development project of Guardian Life Insurance Company of America.