Snehal Jaykar Email & Phone Number

Bengaluru, Ka, In

• Developed a self-service solution using RAG (Retrieval-Augmented Generation - LLM) to enable intelligent search across our knowledge base, delivering accurate and relevant answers to customer queries.Performance Improvements in AMR:• Analyzed feature usage patterns and bottlenecks in the Spark/Scala-based Mobility Reporting component, proposing and implementing redesigns to enhance performance and reduce operational costs.• Developed a MetaBase dashboard to continuously… Show more • Developed a self-service solution using RAG (Retrieval-Augmented Generation - LLM) to enable intelligent search across our knowledge base, delivering accurate and relevant answers to customer queries.Performance Improvements in AMR:• Analyzed feature usage patterns and bottlenecks in the Spark/Scala-based Mobility Reporting component, proposing and implementing redesigns to enhance performance and reduce operational costs.• Developed a MetaBase dashboard to continuously monitor and track the impact of performance improvements.• Reduced report generation time from 8 minutes to 3 minutes and cut operational costs by 60% through optimization efforts.Migration of AMR to a New Microservice:• Worked on migration of AMR component functionality from the existing microservice to a new one, ensuring minimal service disruption during the transition.• Refactored and decoupled the codebase, optimizing GitHub repositories and CI/CD pipelines for improved modularity and performance. Show less

Productised an end-to-end NLP workflow pipeline for a Semantic Search application, enabling 20 support engineers to tag cases and reduce TTR by 40%.Contributed to the feature development for the Predictive Insights ML engine serving customers with impactful remedial actions to improve Backup appliance health metric in NetInsights Console cloud platform.

Developed Python/Apache Airflow based data pipelines to collate structured/un-structured data related to the customer fleet and aggregate to create useful business KPIs.Developed extensive dashboards using AWS QuickSight to help product leadership track key business metrics for informed decision making.Presented KPI dashboards to the leadership in monthly review.Documented detailed explanations for technical/non-technical audience regarding metric capabilities developed.