Mahendra Kumar Raichur

About Mahendra Kumar Raichur

I am an M-shaped professional operating at the intersection of Full-Stack Engineering, Big Data, and Agentic AI. Currently a Member of Technical Staff at Salesforce, I architect scalable, AI-driven solutions that transform complex telemetry into actionable business intelligence. My work focuses on bridging the gap between raw data and executive strategy through automated observability and high-performance distributed systems.Engineering at Scale: With 4+ years of experience across Salesforce and Oracle, I’ve built robust, secure backend systems and high-traffic user interfaces. At Salesforce, I recently engineered a CRM Analytics engine that reduced manual reporting overhead by 87% and successfully served as the Designated Responsible Individual (DRI) on-call for two core teams: ADT and Tab Core. At Oracle, I pioneered a GraphQL streaming initiative that delivered a 20% performance boost and earned me \"Best Employee of the Month.\" I also revamped Identity Access Management (IAM) security via SSO and SAML and led Agile squads as a Scrum Master. AI Innovation & Data Insights: I thrive on rapid innovation, recently developing a LangGraph-powered AI agent that utilizes Tableau MCP to enable natural language querying via Slack across all active Tableau pods in all AWS regions. I also secured one of the top finish in a Salesforce Hackathon by deploying \"Tableau Workbook Weaver\" a centralized administrative platform featuring a RAG-based AI chatbot. During my time at Master Electronics, I accelerated data workflows by 15% through a custom Databricks-integrated UI Portal and automated 70% of purchase order extractions using LLMs and RAG. I am committed to building intelligent systems that solve high-stakes governance and logistics challenges.Key Contributions- Salesforce: Built a ReAct-based AI agent for global pod monitoring and a RAG-based Tableau governance tool and an AI-driven CRMA and Tableau metrics engine and a RAG-based Tableau governance tool- Big Data & Observability: Executed complex Trino queries for SLA deviation alerts and served as DRI for mission-critical core services- Master Electronics: Integrated Power BI Embedded into WMS for real-time inventory flow and optimized cost models using PySpark to reduce pricing errors by 15%- Oracle: Engineered a SaaS Enterprise Billing module with optimized ORM models (15% performance gain) and automated Cloud Gateways using CloudFormation (IaC)- Security & Leadership: Streamlined IAM systems for global security compliance and drove SEO and Agile practices as a Scrum Master.

Experience

1. Software Engineering Mts

   Salesforce

   Aug 2025 — Present · Seattle, WA, US

   As a Member of Technical Staff, I architect AI-driven observability tools and high-scale data solutions that enhance product performance and engineering efficiency across the CRM Analytics and Tableau ecosystems.Operational Efficiency: Engineered an automated metrics engine that reduced manual reporting time by 87%(from 1 day to 1 hour), utilizing a Slack-integrated dashboard for real-time trend analysis and regression detection.Big Data & Observability: Implemented AI-driven operational analytics within the Unified Intelligence Platform (UIP), executing complex Trino queries to detect SLA deviations and trigger automated alerts.AI Innovation: Secured a Top 3 finish in a Salesforce Hackathon by building \"Tableau Workbook Weaver,\" a centralized governance platform featuring a RAG-based AI chatbot for natural language metadata queries.Automated Diagnostics: Developed a Workbook Categorization framework using AI-driven runtime analysis to identify testing gaps and overlaps, significantly reducing infrastructure costs.Performance Monitoring: Engineered an observability PoC for Workbook Runtime Analysis, extracting insights from massive log datasets to diagnose bottlenecks and integrate with Sentinel AI.Leadership & Agile Mastery: Active member of the Tableau Toastmasters Club, refining technical storytelling; serve as a Scrum Master, driving Agile methodologies, streamlining sprint cycles, and fostering cross-functional collaboration.

Education

• Vasavi College of Engg

  Bachelor's degree, Computer Science

  2017 — 2021

• Arizona State University

  Master of Science - MS, Computer Science