Shravan Gupta

Hewlett Packard Enterprise

Pune, Maharashtra, India

Since April 22, 2026

About

Infrastructure Automation & AI-driven DevOps Engineer with 3+ years at Hewlett Packard Enterprise, delivering patent-filed innovations and award-winning AI solutions across server infrastructure, observability, and platform engineering. Inventor of HPE – iLOx, managing configuration of 500+ servers in parallel. Co-developed Adaptive Green AI, Champions at Digital Engineering Awards 2026 (Boston). SME and core contributor to HPE's flagship Deployment Automation platform and AI Factory.

Skills

API IntegrationPythonProblem SolvingAutomationMonitoringAnsibleGithub CopilotLinux AdministrationPrometheusGrafanaObservabilityRest Api(DevSecOps)LLM applicationsSite Reliability EngineeringDockerKubernetes

Experience

Hewlett Packard Enterprise

Senior Solution Consultant

February 28, 2023 – Present

Projects

Adaptive Green AI

January 4, 2026 – Present

Co-developed Adaptive Green AI, a carbon-aware LLM inference orchestration framework that dynamically routes workloads to right-sized language models based on inference complexity. Designed a sustainability-aware decision engine, intelligent model routing layer, and Triton-based unified inference runtime — projecting 40%+ reduction in per-request energy consumption and 10–25% lower carbon emissions while maintaining SLAs. Champions - Digital Engineering Awards 2026 (Best Sustainability Innovation) (in association with ISG, CNBC TV18 & LTTS) at Boston and winner of HPE PSD-GCC Internal Hackathon.

Key Strengths

Exceptional expertise in Infrastructure Automation, DevOps, and AI-driven solutions, directly aligning with the target role.
Proven track record of innovation, including a patent for HPE iLOx and co-development of the award-winning Adaptive Green AI, demonstrating advanced problem-solving and system design capabilities.
Deep experience with bare-metal server management, firmware, BIOS, and RAID configuration automation, critical for enterprise infrastructure roles.
Strong proficiency in LLM inference orchestration, sustainability-aware decision engines, and GPU-accelerated infrastructure, showcasing cutting-edge AI/MLOps skills.
SME-level knowledge in deployment automation platforms (Ansible, AWX, Kubernetes, Slurm) and HPC ecosystems, indicating readiness for complex, large-scale environments.
Extensive experience in observability (Prometheus, Grafana, OpenTelemetry, OpsRamp) and CI/CD pipelines (GitLab/GitHub, Jenkins), crucial for maintaining system reliability and efficiency.
Strong programming skills in Python, Shell, Bash, and SQL, foundational for automation and scripting in a DevOps context.
Demonstrated ability to lead platform-level initiatives and drive significant operational efficiencies, such as the VM migration optimization framework.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0, which directly assesses logical reasoning, work attitude, stress handling, and team collaboration, raises significant concerns about the candidate's cultural fit. While the resume highlights successful project collaborations and leadership, the assessment score cannot be overlooked and indicates a critical area of concern for team integration and workplace dynamics.

Soft Skills & Operational Fit

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Key Strengths

Exceptional expertise in Infrastructure Automation, DevOps, and AI-driven solutions, directly aligning with the target role.
Proven track record of innovation, including a patent for HPE iLOx and co-development of the award-winning Adaptive Green AI, demonstrating advanced problem-solving and system design capabilities.
Deep experience with bare-metal server management, firmware, BIOS, and RAID configuration automation, critical for enterprise infrastructure roles.
Strong proficiency in LLM inference orchestration, sustainability-aware decision engines, and GPU-accelerated infrastructure, showcasing cutting-edge AI/MLOps skills.
SME-level knowledge in deployment automation platforms (Ansible, AWX, Kubernetes, Slurm) and HPC ecosystems, indicating readiness for complex, large-scale environments.
Extensive experience in observability (Prometheus, Grafana, OpenTelemetry, OpsRamp) and CI/CD pipelines (GitLab/GitHub, Jenkins), crucial for maintaining system reliability and efficiency.
Strong programming skills in Python, Shell, Bash, and SQL, foundational for automation and scripting in a DevOps context.
Demonstrated ability to lead platform-level initiatives and drive significant operational efficiencies, such as the VM migration optimization framework.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit