Devashish Lokhande
@devashishlokhande
Senior backend engineer and tech lead building scalable, cloud-native systems with AI-driven quality.
What I'm looking for
I’m a Senior Backend Engineer and Tech Lead with 11+ years of experience building scalable backend platforms, cloud-native applications, and enterprise systems. At Microsoft, I drive anomaly detection, quality verification, and live-site validation for large-scale Windows updates, ensuring issues are caught before they impact customers.
I’ve architected automation that modernizes release validation—building an Azure OpenAI–driven test-scenario generator using few-shot prompting with fuzzy retrieval over 10K+ guidance to eliminate manual delays. I also transformed legacy live-site verification into modular Azure Durable Functions, cutting liveliness-check time from 40 to 5 minutes and accelerating debugging across Windows delivery channels.
Earlier, at SAP Labs and Walmart, I delivered Temporal workflows, microservices, and AI/ML-driven onboarding and analytics to reduce manual effort and improve operational outcomes. I enjoy solving end-to-end reliability problems—deep-dive root-cause investigations, improving availability, and partnering across teams to align architecture and release execution.
Experience
Work history, roles, and key accomplishments
Built an automated Microsoft release validator that monitors nearly 500 security fixes per month and catches misconfigurations in minutes, triggering instant team notifications to prevent customer impact. Architected Azure OpenAI–driven test-scenario generation and modernized Live-Site Verification with Azure Durable Functions, reducing liveliness-check time from 40 to 5 minutes.
Designed and implemented Temporal workflows for buyer/supplier onboarding in SAP Business Network and delivered ML scenarios for sales and service cloud (case categorization, recommendations, lead/opportunity scoring). Reduced manual onboarding effort by 70% and improved sales-cycle closure by 30% using third-party intent data.
Contributed to an IoT data extraction team building IoT edge modules and three microservices to collect HVAC sensor data and raise technician alerts for anomalies. Optimized application monitoring on failures to improve operational reliability.
Worked with an AI R&D team to build a microservice integrating a predictive analytics inference engine with an IoT cloud platform. Delivered customer proof-of-concepts for predictive analytics scenarios using gyroscopic data and geo-location inputs.
Worked on SAP Maintenance Planner to integrate with other SAP products for seamless installation and upgrade. Built APIs and integrated hybrid on-premise and cloud systems for customer SAP landscapes.
Developed product components for mobile location tracking for major telecom vendors and implemented enhancements and custom developments. Resolved production issues within stipulated time to maintain service stability.
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Devashish hasn't added their education
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