AI Support Engineer | Cloud Support Specialist @ Google Operations | GenAI Platforms | ITSM | RAG & Agentic AI | Built AI Chatbots & Workflow Automations | GCP | Python | LLMOps | GCPx3 | Red Hatx2



Chennai, Tamil Nadu, India

Noida, Uttar Pradesh, India

Pune, Maharashtra, India

Mysore, Karnataka, India







Bachelor of Engineering - BE, Computer Engineering
SINHGAD INSTITUTE OF TECHNOLOGY,LONAVLA
C.S.M.S.S. College of Polytechnic
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I started my career in testing and support. Today, I build AI-powered solutions that reduce support effort, automate workflows, and help teams move faster. I’m currently working as a Cloud Support Specialist supporting enterprise environments and AI-driven platforms, where I handle production troubleshooting, incident resolution, bug triaging, log analysis, and cross-functional escalations. Along the way, I moved beyond support into automation, GenAI, and workflow engineering - building RAG-based chatbots, AI assistants, and internal tools using LLMs, Agentic AI concepts, Gemini, LangChain, LangGraph, n8n, SQL, and GCP. Over the last 6+ years, I’ve worked across telecom, networking, cloud support, and enterprise operations. I’ve built automation solutions that reduced handling time by 93%, created AI systems that lowered L1 support demand by 63%, standardized workflows for 100+ engineers, delivered technical sessions, mentored teams, and acted as the bridge between customer support and product engineering. Right now, I’m focused on the next phase of my career: moving deeper into AI Engineering, AI Support Engineering, FDE-1, and platform-focused roles where I can combine technical problem-solving, automation, cloud experience, and GenAI to build systems that create measurable impact. Always open to conversations around AI, cloud, automation, and building what’s next.
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Senior Cloud Support Engineer at Google Operations Center, Aug 2024 - Present · 2 yrs 1 mo, ● Led end-to-end troubleshooting for enterprise AI products by coordinating between support teams and Product Engineering, accelerating resolution of high-priority incidents. ● Investigated production issues through log analysis, debugging traces, and performance monitoring, improving incident diagnosis efficiency. ● Conducted Root Cause Analysis (RCA) for customer-impacting issues, reducing repeat escalations and improving resolution quality. ● Built an AI-powered support chatbot using RAG and Dialogflow CX, reducing L1 “how-to” queries by 63%. ● Developed an automation platform using SQL workflows and Gemini AI, reducing handling time by 93% (30 mins → 2 mins). ● Automated documentation and case workflows using Google Apps Script, enabling adoption across 100+ support engineers. ● Delivered technical enablement sessions on GenAI automation frameworks for 125+ engineers and stakeholders. ● Mentored L1/L2 engineers through audits, workshops, and troubleshooting reviews, improving knowledge transfer and case quality. ● Drove process innovation initiatives by partnering with operational excellence teams to deploy automation ideas. ● Consistently exceeded KPIs by maintaining 100% CSAT, 98% quality, and strong productivity metrics.
Tech Process Senior Associate at Google Operations Center, Dec 2022 - Aug 2024 · 1 yr 9 mos, ● Helped clients worldwide implement Google Tag on their website using hardcode or via Google Tag Manager. ● Set up conversion actions in Google Ads as per the requirements using data layers or CSS selectors. Google Tag implementation and troubleshooting ● Built an Automation Tool - 1. Working on each case involved generating screenshots. These screenshots need to be saved in a Google Doc with the same case ID & supposed to be shared with the right set of people. The link to this document should be attached to the case. 2. Created a simple tool using Google AppsScript, automating this entire manual effort by taking just the Case ID as input. 3. This saved 5-7 minutes for each agent on each case. ● Architected a GenAi tool - 1. Created a POC of a GenAI tool, responsible for improving quality and avoiding possible compliance errors from an agent perspective. 2. The tool took real-time inputs. Processed and generated results to help agents during an appointment. 3. Considering 90% or more accurate model will reduce 98% or more compliance errors, drastically improving the quality score. ● Achievements & Awards - EXCEEDED EXPECTATIONS RATING - For delivering exceptional performance throughout the year 2023 INDIVIDUAL CONTRIBUTOR AWARD - For best performer of the month, September 2023
Technical Support Engineer at Movate, Feb 2022 - Nov 2022 · 10 mos, Chennai, Tamil Nadu, India, ● Resolved networking issues for NetGear customers by troubleshooting routers, extenders, and mesh environments remotely. ● Diagnosed WiFi6 issues, including network drops, speed degradation, and MAC-related problems, improving first-call resolution. ● Optimized customer issue handling through structured troubleshooting, achieving 92% FCR. ● Maintained high support quality and customer experience, delivering 98% CSAT. ● Improved operational efficiency by sustaining 22-minute AHT while handling technical escalations. ● Increased upsell performance through solution-based recommendations, generating $560/month average revenue.
Customer Service Associate at Tech Mahindra, Aug 2021 - Jan 2022 · 6 mos, Noida, Uttar Pradesh, India, ● Provided 24/7 customer support via phone & email ● Resolved product return-related issues in the Large & electronics segment ● Handled daily 50+ cases from direct consumers & achieved monthly KPIs
Test Engineer at Infosys, Apr 2020 - Mar 2021 · 1 yr, Pune, Maharashtra, India, ● Executed 150+ manual test scenarios across telecom applications using Agile delivery practices. ● Validated application logic through regression and functional testing using Selenium and SoapUI, improving release confidence. ● Developed automation scripts in C# with Excel parameterization, reducing repetitive validation effort. ● Collaborated with cross-functional teams to identify defects and improve testing coverage. ● Performed code-level verification and issue validation, increasing defect detection accuracy. ● Supported release cycles by ensuring stable deployments and quality compliance.
System Engineer Trainee at Infosys, Oct 2019 - Mar 2020 · 6 mos, Mysore, Karnataka, India
Bachelor of Engineering - BE, Computer Engineering, SINHGAD INSTITUTE OF TECHNOLOGY,LONAVLA
C.S.M.S.S. College of Polytechnic
github: https://github.com/ksanket96