My role involves providing value-added services to Sutherland DES' existing customers to enhance customer engagement and satisfaction. I collaborate with the practice to develop solution strategies based on market insights and tailor the best platforms to meet diverse digital transformation needs. I am also responsible for delivery of AI based Automation and Analytics value for IT Operations and SRE teams across multiple customers. Currently, my focus lies in crafting a framework and solution for Generative AI use cases to benefit our customers.● ADOP Framework: Designed and implemented an AI-driven IT Operations framework, reducing ticket volumes by 45% and improving average MTTR by 30%. The framework utilizes NLP, ML, and GenAI capabilities to automate complex SRE and ITOps workflows.● Cortex AutoML Platform: Pioneered the development of an AutoML platform from scratch, leveraging open-source frameworks. The platform integrates multiple APIs from Hugging Face models and opensource libraries, facilitating quicker POC development and efficient presentations to business stakeholders. It streamlines preprocessing, leading to 60% reduction in model experimentation and presentation time.● EasiOps: Conceived and built a Bigdata Observability platform using the ELK stack to process real-time event streams from various sources within the organization. The platform enhances data correlation and advanced analytics, resulting in a 40% reduction in alert noise and a 20% improvement in analytical efficiency.● Strategic Frameworks: Developed strategic frameworks and operational models, including EASI and Digital.NXT, to optimize OPEX and enhance customer stickiness.● Implemented multiple PowerBI reports as part of operational intelligence.● Created multiple playbooks and involved in account/knowledge mining for AI driven value realization opportunities

● Spearheaded AI-based automation and analytics solution development, driving the creation of cutting-edge technologies and transformative solutions.● Successfully developed and presented AI Proof of Concepts (POCs), showcasing innovative AI/Automation solutions, resulting in increased client engagement and business growth.● Led the design of comprehensive AI & Data Science solutions, devising intricate data flows and architecture-level technology components to ensure optimal performance.● Collaborated directly with diverse clients, enhancing the quality and efficiency of Machine Learning and Analytics models for IT and Cloud use cases.● Strategized and devised a forward-looking roadmap for achieving a fully integrated Cognitive framework within the IT ecosystem. Elements included full-stack observability, conversational AI, knowledge extraction, anomaly detection, event correlation, probable cause analysis, and graph relationship implementations.● Actively participated in technical Request for Proposal (RFP) and Request for Information (RFI) discussions, tailoring custom AI-based solutions to address unique customer needs.● Guided customers in their digital transformation journey, enabling seamless AI adoption to accelerate their business objectives and outcomes.● Skillfully leveraged extensive industry experience in both IT and Data Science domains to identify and address key customer pain points.● Established a robust AI technical competency within the presales team, leading efforts to develop an AIOps Center of Excellence (COE) and execute successful Proof of Concepts (POCs).● Forged strategic partnerships and alliances, contributing to a comprehensive Go-to-Market (GTM) strategy. Leveraged business acumen to drive commercial aspects and Return on Investment (ROI) calculations.● Pioneered the setup of a Data and Cognitive Automation-driven Site Reliability Engineering (SRE) Practice, optimizing ITOps processes and elevating operational efficiency.

● AIOPS Architect and platform lead for Cerner Healthcare Infrastructure Intelligent Event Fabric Platform. Lead collaborative efforts in developing key metrics, extracting value out of data & building models for operations improvement.● Worked with team of senior Data Scientists/Engineers & other stake holders in building AIOps solution for Cerner Alert Intelligence Platform.● Managed boarding and improvement of key internal projects which involved modeling the utilization reports, presentation and mapping of key parameters using analytics.● Real-time Operational intelligence and predictive analytics using Power-bi & Python for operations team. Built ticket classification model with 70 % accuracy.● Part of highly visible Cerner Technology Improvement Team, which works with all stakeholders to provide optimum user experience, performance improvement and reduction of outages within Cerner Infrastructure.● Built machine learning anomaly detection and forecasting models to improve 20% of the incident free time and improved predictive engagement.● Improved the troubleshooting mechanism and automation in collaboration with tools development team.● Used Python libraries for automation and data exploration; built a Real-time dashboard for alarm parameters on Elastic Search and Kibana; worked on network performance KPIs and optimization functions.● ·Product managed in-house IDCC monitoring, AIOPS and Automation tool along with developers and SME for auto remediation.

Responsible for BAU of IT infrastructure & Datacenter activities.

Respobsible for Telco optimization and reliability across OSS cluster