Srinivasa Phanindra Kala

Senior Technical Solution Architect for Conversational AI

• Designed the entire architecture for Pre-Login and Post-Login
• Integration of the WhatsApp Channel
• Integration of the IVR channel
• SFDC Integration with Bot service
• Memory Optimization - Node clustering - Avoid OOMs
• Cloud Cost Optimization
• Performance Testing Closure
• Designed the Development Branching and Deployment strategy
• Helping production engineering for high and critical incidents
• Local Text Summarizer - Content Skimmer Engine
• Play Store Analytics - Fully automated AI solution, Sentiment review, Squad Assignment, JIRA ticket creation

• Deigned and deployed the AI Ops solutions with Machine Learning and Deep Learning techniques. One among is Change Risk Prediction Tool, will help to manage and reduce the change failure rates and associated incident Mean-Time-To-Resolve.
• In the journey of AI Ops, we built a Recommendation Engine with Natural Language Processing and Understanding techniques. It is called as Incident Resolution Recommendation Engine, will help to increase Operational Efficiency, SLA compliance, Customer Experience.
• In regards to Smart Operations and self-serve in Knowledge management area, AppManageBot was implemented. The Bot is able to assist 800+ applications information, server mappings, upstream and downstream with Business Impact details.
• In terms of Hyper Automation, we designed and deployed a MIORuleEngine - an Auto Inferencer with Dynamic ruling with predictive analytics. This tool provides ZERO human intervention in Application sanity assessment and interpretation using Intelligent Automation Platform with data analytics.
• Giving Deep Learning workshops on Computer Vision, NLP, (LSTM,ANNs,AutoEncoders) to help developers, researchers and data scientists to adopt the technology.
• Focused on some of the DeepLearning based NLP tasks such as Text Summarizations, Text classification, NER, and topic modeling for Smart Document Processor.
• Defined end to end robotic process automation strategy Assessed existing process and determined automation feasibility for RPA Created Architecture diagrams and defined infrastructure needs for RPA implementation.
• Implemented the Reusable Hybrid Automation Framework with Selenium Web driver and grid for web automation,Ansible playbook driven SystemVitals Framework, Middleware components.
• Implemented RPA using Automation Anywhere for Order Kickouts in COM space with great reduction in operational expenses.
• Worked with client prospective proposals to develop integrated solutions and lead detailed architectural dialogues to facilitate delivery of comprehensive solution in Automation area.
• Introduced agile methodologies and effective development best practices to division to enhance product development.

• Orchestrated efficient large-scale software deployments, including testing features and correcting code.
• Exhibited strong technical aptitude and application expertise resulting in optimized performance, continuous improvement recommendations and product innovation.
• Resolved product design, acquisition and launch concerns to achieve customer's targeted business goals.
• Addressed technical issues and guided end users through resolution.