Shreyansh Sancheti

AI Infrastructure Engineer, Microsoft Azure Compute. Bengaluru, India.

hire.ssancheti@gmail.com · GitHub · Instagram · LinkedIn · X

About

AI Infrastructure / Platform Engineer at Microsoft Azure Compute (Hyper-V). 4+ years in Kubernetes, LLM inference, distributed systems and AI agent tooling; 15+ merged Ceph PRs, systems serving 10,000+ SMEs and 1000+ deployments.

Experience

Microsoft · Mar 2026 – Present

Software Engineer II, Container Platform & Infrastructure (Azure Compute / Hyper-V)

Drive HCSShim/HCS API migration to modern container abstractions, enabling Live Migration at Azure scale.
Built parity/regression validation frameworks across container runtime layers.
Built PowerShell/Go deployment tooling and CI/CD for rollout and validation.
Root-cause distributed failures across Azure clusters using Kusto telemetry.

Arista Networks · Feb 2025 – Feb 2026

Software Engineer, Network Infrastructure & Performance (C++)

Built BESS agent anomaly detection, eliminating 100% packet loss during port updates.
Automated incident detection and RCA correlation, cutting MTTR 40%.
Built Grafana dashboards for 400G+ systems; CI/CD raised deployment reliability 35%.

XBattery · Mar 2025 – Oct 2025

Senior Infrastructure Consultant, AI & Cloud Platform

Built AI Kubernetes observability platform for 10,000+ SMEs: 99.9% uptime, 60% less manual work.
Delivered Terraform/Ansible/GitLab CI pipelines enabling 50+ daily zero-downtime deploys.
Correlated alerts across 500+ VMs, cutting false positives 75%; automated RCA resolved incidents 50% faster.

IBM · Jan 2023 – Feb 2025

Software Engineer II, Cloud Storage & Automation

Built Ceph performance monitoring (Prometheus, Python) detecting anomalies across 1000+ enterprise deployments.
Automated troubleshooting with Python/Bash log analysis, cutting incident response time 40%.
Built Rook-Ceph Kubernetes operators, cutting MTTR 60%; 15+ PRs merged to Ceph.
Built Docker/Ansible S3 benchmarking framework, a 10x productivity gain.

Red Hat · Jan 2022 – Dec 2022

Associate Software Engineer, Distributed Systems

Improved distributed storage throughput 25% via automated profiling and bottleneck analysis.
Cut production incidents 30% with monitoring and alerting; cut QA cycle time 40% with Docker-based performance test automation; 100+ code reviews.

Projects

Agentic Operator, Clawdlinux, Founder · 51 stars

Go, Kubernetes, gVisor, Cilium, MCP

Runtime-agnostic Kubernetes governance for AI agents: gVisor isolation, egress policy, cost controls and offline audit verification. Mercatus grant.

ZeroDB, Clawdlinux

Rust

Agent memory database in Rust: durable tape, hybrid recall and cache, speed and crash safety first. 48.6K acks/s, 502 µs p99 vs Redis and Valkey.

agentgate, Clawdlinux

Go, OAuth, Biscuit, MCP

A thin API gateway that lets AI agents call SaaS APIs on behalf of users. Agents never see the tokens.

memtorture, Clawdlinux

Python

Torture tests for agent memory engines: crash, concurrency and recall delay. Evidence, not marketing.

Agent Native Format, Clawdlinux

Go, Kubernetes, MCP

Token-minimal system views for AI agents: Kubernetes and live state translated into a compact format, with governed execution primitives.

Piko

Swift, iOS, On-device ML

On-device iPhone voice dictation: SpeechAnalyzer and Foundation Models, streaming into the keyboard. No audio leaves the device.

Talks and open source

SREcon26 EMEA (Dublin, Oct 2026), lightning talk: why the kubernetes autoscaler fails llm inference.
Speaker at Ceph Days and Agentic Summit Bangalore.
Ceph: 15+ merged prs.
containerd: contributing.
hcsshim: contributing.

Hall of fame

SREcon26 EMEA, speaker · dublin, oct 2026: why the kubernetes autoscaler fails llm inference.
Ceph Days, speaker: distributed storage, from the people who maintain it.
Agentic Summit, speaker · bangalore: ai agents on real infrastructure.
15+ merged PRs, ceph upstream: rados gateway and storage engine work.
Mercatus grant, agentic operator: kubernetes governance for ai agents.
51 stars, agentic-operator-core: open source, built in public.

Skills

Languages: Python, Go, Rust, C/C++, Swift, Bash, PowerShell, TypeScript, SQL
AI Infrastructure: LLM inference, vLLM, KServe, llm-d, Inference autoscaling (HPA), Model serving, Multi-tenant isolation, MCP, RAG, LangGraph, LangChain, Azure OpenAI, Agentic workflows
Cloud & Platform: Kubernetes, Operators & CRDs, Azure, AWS, Docker, Terraform, Ansible, containerd, Hyper-V, gVisor, Cilium, Ceph, Linux
Observability & Delivery: Prometheus, Grafana, OpenTelemetry, Kusto, ELK, GitHub Actions, GitLab CI, Incident response, RCA, High availability, Cost optimization
Customer-facing: Solution design, Enterprise integration, Technical advisory, REST/gRPC APIs, n8n workflows, Human-in-the-loop AI, Demos, Conference talks

Off the clock

Badminton, Cricket, Guitar.

Education

Walchand Institute of Technology, B.Tech, Computer Science and Engineering. Aug 2018 – Jul 2022. CGPA 9.3/10.0.