Mar 2022 – Oct 2025 · 3 yrs 7 mos · Bengaluru, Karnataka, India

• Developed an interpretable and explainable time-series forecasting model to proactively mitigate overindulgence on the platform. This solution identified risky gameplay attributes, reducing overindulgence by 45% and promoting responsible gaming, culminating in a paper published at ACM SIGKDD, 2024.
• Secured 2nd place in the Audience Appreciation Award at KDD 2024, a top-tier AI data science conference, among 350+ submissions. Led efforts in content strategy, outreach, conveying complex ideas, and making data science accessible to everyone. https://youtu.be/BQsJ4ReTQ0Q?list=PLn0nrSd4xjja4XQOFA35kEM77qrQwsrqP&t=364
• Standardized MLOps pipelines across the organization, establishing best practices for model deployment, monitoring, and reproducibility. This leadership led to being a Key Speaker at Data Intelligence Days by Databricks, where I shared insights on MLOps excellence.
• Spearheading real-time LLM-based user profiling, enhancing personalization and engagement strategies at scale by dynamically adapting recommendations and interventions based on user behavior patterns.
• Built an efficient retraining pipeline, integrating best MLOps practices such as automated testing, continuous monitoring, and model versioning via AWS SageMaker Studio. Published findings in the AWS Machine Learning Blog (2023) to share insights with the broader AI community.
• Owned ML Infrastructure initiatives for 40+ data scientists, enabling scalable, reproducible, and automated model deployment workflows that support cutting-edge AI applications across the organization that led to a savings of ∼ $4500 cost per month.

Jul 2019 – Mar 2022 · 2 yrs 8 mos · Greater Bengaluru Area

• Lead the implementation of the system for de-duplication of vendor master data through customized clustering and as research contributions to Intelligent Workflows platform which lead to O-Level Accomplishment.
• Contributed as a Data Scientist for developing Topical attributed graph representation mining service and recommendation for automation amenability.
• Build and deployed multiple projects on Red Hat’s container orchestration tool OpenShift via Docker.
• Proficient in Elasticsearch, data modeling, and querying using log aggregation, data extraction, and reporting using Elasticsearch, Logstash, Kibana tools.
• Currently working on developing AI for a system to detect and alert the drift in trends for the customizable KPIs for the time series incident data.