Ashutosh Gupta

Software Engineer

Bengaluru, Karnataka, India1 yr 5 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in Rust and AI-Native Infrastructure.
  • Achieved significant latency reduction in telemetry systems.
  • Built scalable backend services for cloud environments.
Stackforce AI infers this person is a Cloud Infrastructure and AI Infrastructure specialist with a focus on high-performance systems.

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Skills

Core Skills

RustAi-native InfrastructureTelemetryCloud ServicesBackend DevelopmentAi InfrastructureObservability

Other Skills

Data PipelinesData TransferMCPAI AgentsCC++GolangPythonAWSDockerPrometheusPerlPowerShellSeleniumManagement

About

I’m a Software Engineer at Microsoft Azure, working at the cutting edge where Rust, xDPU Silicon, and AI Infrastructure converge. My mission is to build the high-performance foundations that power the next generation of autonomous cloud ecosystems. Currently, I'm deep-diving into Azure xDPU Telemetry, leveraging Rust to build memory-safe, ultra-low-latency data pipelines. Beyond core systems, I am heavily invested in the AI Agentic Infrastructure space—specifically building and optimizing MCP (Model Context Protocol) servers to bridge the gap between LLMs and low-level system telemetry. Why my profile is unique: Systems + Rust: Moving beyond legacy C++, I build production-grade systems that prioritize memory safety without compromising on "to-the-metal" performance. Hardware-Software Synergy: Expert in DPU/IPU offloads, ensuring that telemetry and networking don't just run on the CPU, but are accelerated by dedicated silicon. AI-Native Infrastructure: Designing MCP servers and RAG-powered diagnostic tools that allow AI agents to "see" and "fix" infrastructure issues in real-time. Technical Arsenal: Core: Rust (Expert), C++, Golang, Linux Kernel, Systems Programming. Cloud & Networking: Azure xDPU/IPU, High-Performance Networking, Distributed Systems. AI & Agents: MCP (Model Context Protocol), Agentic Workflows, LLM Observability, RAG. Pedigree: IIT (BHU) Varanasi '24 | ex-Cisco Systems. I believe the future of Cloud isn't just "Scalable"—it's Autonomous. I'm building the telemetry and interface layers (MCP) that will allow AI to manage hyperscale systems with human-level intuition and machine-level speed. Always open to discussing Rust internals, DPU architectures, or the evolving MCP ecosystem. Let’s build the future of safe, intelligent systems! 🚀

Experience

Microsoft

Software Engineer

Nov 2025Present · 4 mos · Bengaluru, Karnataka, India · On-site

  • 🔹 High-Performance Telemetry & System Optimization (Rust): Engineered and optimized core telemetry modules for Azure xDPUs using Rust, achieving a 10x reduction in crash dump download latency by implementing zero-copy data transfer and custom serialization. Designed and deployed memory-safe logging and asynchronous warning frameworks to detect and mitigate system-level emergencies in real-time, ensuring 99.99% observability for hyperscale cloud workloads.
  • 🔹 AI-Native Infrastructure & Agentic Observability (MCP): Leading the exploration and implementation of MCP (Model Context Protocol) servers to bridge the gap between low-level system metrics and LLMs. Developed internal Rust-based prototypes that allow AI Agents to autonomously query xDPU telemetry and perform real-time anomaly diagnosis, reducing the Time-to-Detect (TTD) for critical infrastructure failures.
RustTelemetryAI InfrastructureData PipelinesObservabilityAI-Native Infrastructure

Cisco

3 roles

Software Engineer 2

Sep 2025Nov 2025 · 2 mos · Bengaluru, Karnataka, India · On-site

Software Engineer 1

Aug 2024Sep 2025 · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

  • 🔹 Designed and implemented scalable backend services in C, C++, Golang, and Python, improving data throughput and system reliability across distributed cloud environments.
  • 🔹 Built AI-driven observability and anomaly detection pipelines leveraging AWS, Docker, and Prometheus, enabling proactive monitoring and faster incident resolution.
  • 🔹 Developed automation frameworks and CI/CD workflows using Jenkins, GitHub Actions, and Kubernetes, streamlining microservice deployments and enhancing DevOps efficiency.
  • 🔹 Collaborated on next-gen cloud security and infrastructure intelligence initiatives, integrating ML-based diagnostics, RAG-powered insights, and self-healing mechanisms to strengthen system resilience.
CC++GolangPythonAWSDocker+3

Software Engineering Intern

May 2023Jul 2023 · 2 mos · Bengaluru, Karnataka, India · On-site

  • 🔹Developed and optimized backend components in C, C++, Perl, and PowerShell, contributing to core infrastructure enhancements within the Umbrella Policy Engine.
  • 🔹Executed a high-impact Proof of Concept (PoC) that improved search efficiency by 90%, accelerating policy query responses and reducing compute overhead.
  • 🔹Automated build and integration workflows using Makefiles and shell scripting, streamlining CI/CD and deployment efficiency across development environments.
  • 🔹Followed a complete SDLC process leveraging Jira, Bitbucket, and automated testing pipelines, ensuring high-quality feature delivery and code maintainability.
CC++PerlPowerShellBackend Development

Education

Indian Institute of Technology (Banaras Hindu University), Varanasi

Bachelor of Technology - BTech

Nov 2020May 2024

FIITJEE

Intermediate — PCM

Apr 2018Mar 2020

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