Revanth Voleti

Python Developer with 2.7 years of comprehensive expertise and a proven track record of designing and implementing innovative software solutions. Experienced in developing microservices architecture, RESTful APIs . Adept at collaborating with cross-functional teams and implementing automated testing to improve system reliability, code quality, and user engagement.Strives to deliver a state-of-the-art solutions within a dynamic team setting.

• AZ-900: Microsoft Azure Fundamentals
• Business English Certificate (BEC) preliminary

• Inspirer Award Jul 2023

• SaaS Product: Bosch Automation Platform:
   Team Member for in house SaaS application that provides Chatbots, Semantic Search and Information Retrieval based solutions to end customers.
   Built a chain of pipelines involving data gathering, preprocessing, generation of embeddings using BERT transformer for the processed the data, search functionality using cosine similarity.
   Added additional capability to integrate with ticketing tools like JIRA, OTRS
   Improved product stability by using best practices from DevOps including a CI/CD pipelines
• Project: MYABC Chatbot (MYA) |AI driven chatbot(P2P)
   Migration: Played a pivotal role in migrating the chatbot to the Bosch Automation Platform.
   Multi-lingual Support: Developed capabilities for multi-lingual conversations to cater to users from diverse regions.
   Conversational Intelligence: Designed meaningful interactions using Google Dialogflow to determine when to ask follow-up questions, use yes/no questions, or create tickets based on user intent.
   Cloud Deployment: Deployed on Azure using Azure Kubernetes Services for scalability and reliability.
  Impact:
   Global Accessibility: Enabled users worldwide to interact with the chatbot in their preferred language, facilitating efficient solutions and request management.
   Enhanced User Experience: Improved UI/UX following the migration to the Bosch Automation Platform.
• Project: Smart Campus | AI Driven Ticket Management
   Smart Incident management system: An intelligent incident management system is intended to improve and standardize the ticketing procedure for incoming alerts from the integrated building management system (iBMS).
  Smartbot: Automated alert classification and alert-to-ticket creation
   Generative AI Chatbot: Created to enable Facility Managers to create tickets via mobile phones.
   Cloud Deployment: Deployed on Azure using Azure Kubernetes Services for scalability and reliability.
  Impact:
   Streamlined Processes: Automated ticket creation and assignment improved operational efficiency.
   Improved Accessibility: Chatbot enabled Facility Managers to easily create tickets from mobile devices.
   Scalability and Reliability: Azure deployment ensured the solution's scalability and reliability.

• Interested to work on ML/AI topics
• pursuing a certification on ML,NLP and Deep Learning