Headline

Cloud Support Engineer @Accenture | Cloud Operations, MLOps & GenAI Systems

About

Ops-focused Cloud and MLOps professional with expertise in enterprise cloud support, production operations, and system troubleshooting. Currently expanding into Generative AI–enabled cloud systems, I thrive at the intersection of reliability, automation, and scalable AI ops. As a Cloud Support Engineer at Accenture, I manage cloud-based production environments, driving incident management, root-cause analysis, SLA adherence, and cross-team collaboration. Daily, I diagnose complex issues, boost system reliability, analyze operational data, and pinpoint automation opportunities—slashing manual effort and resolution times. For instance, my pattern-spotting approach has cut repeat incidents and accelerated turnaround in high-stakes settings. What sets me apart is my systems-thinking mindset: I don't just fix problems, I uncover why they recur and build preventive, scalable solutions. Actively upskilling in public via hands-on projects and certifications: • Cloud platforms: AWS and Google Cloud (architecture, services, ops mastery) • MLOps & AI Ops: Model deployment, monitoring, observability, reliability engineering • Generative AI: LangChain, LLM workflows, no-code/low-code tools (Zapier, n8n). • Data & automation: SQL, Python, workflow orchestration, analytics-driven decisions. I'm passionate about productionizing GenAI and ML systems—tackling reliability, cost optimization, monitoring, and automation beyond prototypes. Eager to transition into Cloud Operations Engineer, DevOps/MLOps Engineer, or AI Operations roles, delivering data-backed, production-ready AI platforms. If you're building cloud infra, MLOps pipelines, GenAI systems, or ops automation, let's connect and share insights.

Location

Bengaluru

AI stack

claude

deepseek

gemini

hugging face

langchain

lovable

Work experience

Cloud Support Engineer at Accenture, Dec 2025 - Present · 10 mos, Bengaluru, Karnataka, India, Cloud Support Engineer | Accenture • Supported cloud-based production environments, ensuring system availability, SLA adherence, and reliable service delivery for enterprise clients. • Performed incident triage, root cause analysis (RCA), and issue resolution across infrastructure and application layers. • Identified recurring operational issues and contributed to process improvements and automation opportunities to reduce manual effort and repeat incidents. • Analyzed operational data to detect patterns, improve turnaround times, and strengthen system reliability. • Collaborated with cross-functional teams (engineering, product, operations) to resolve complex issues and improve platform stability. • Actively explored cloud automation, monitoring, and AI-assisted support tools to enhance operational efficiency. • Used ticketing/incident tools (ServiceNow, JIRA, etc.) • Participated in voice and non-voice / escalation handling

Technical Associate - Lenovo at Lenovo, Apr 2024 - Dec 2025 · 1 y 8 mo, Banglore

Committee Member at Aaruush, SRM University, Jun 2019 - May 2022 · 3 yrs, Chennai, Tamil Nadu, India, Highlights Achievements: • Helped organise one of the largest techno-management fests in India, with direct charge of the Highlights Committee. - Directly managed guest invitations and itineraries, from transport logistics to food and lodging. - Personally tended to multiple high-profile guests • Directly handled a team of 80 Committee Members, with an additional charge of 200 Volunteer

Education

Bachelor of Technology - BTech, Automobile/Automotive Mechanics Technology/Technician, SRM IST Chennai