Headline

Senior Staff Engineer, AI Excellence Group | Agentic AI Platforms | Distributed Systems | AI Infrastructure | Developer Platforms

About

I’m a Senior Staff Engineer with 7 years of experience building systems that need to actually work at scale — distributed databases, cloud infrastructure, developer platforms, and increasingly, AI tooling. My career has taken a few very different turns, by design. I started with database internals at Hewlett Packard Enterprise, worked as the only backend engineer at an early-stage startup where I built products from scratch, and now focus on large-scale platform and infrastructure work at Synopsys. Different environments, different constraints — that variety is something I’ve always valued. I don’t see myself as “just backend.” I’ve worked across full-stack web, mobile apps, desktop applications, and CLI tools — whatever the problem needed. At the core, I like building things that are useful. Sometimes that’s a system used by thousands of engineers, sometimes it’s a small tool that saves a few minutes every day. Both matter. These days I mostly work with Go and Python, with a background in C++, Swift, Java, and TypeScript. My work sits at the intersection of distributed systems, developer platforms, CI/CD, infrastructure, and AI/LLM systems. Outside of work, I’m usually building something — macOS or iOS apps, experimenting with Raspberry Pi setups, digging into how databases actually work, or starting (and sometimes abandoning) side projects late at night. If you’re working on interesting systems or hard problems, I’m always up for a conversation.

Location

Bengaluru

AI stack

anthropic apis

claude code

cursor

llmapi

mcp

obsidian

Work experience

Senior Staff Software Engineer at Synopsys Inc, Apr 2024 - Present · 2 y 5 mo, Bengaluru, AI Excellence Group (AEG) • Architected and built GRACE, an enterprise agentic developer platform used by 10,000+ developers, orchestrating 104 reusable skills, 11 MCP servers, and 82 tools across C++, Python, Go, Rust, and Node.js; enabled multi-agent workflows and accelerated developer workflows by 3–5×. • Built GRACE’s multi-agent orchestration and MCP-native tooling layer, applying context engineering, selective tool exposure, caching, model routing, and structured agent execution to standardize AI-assisted developer workflows across engineering teams. • Architected and built ICARUS, a distributed CI workload orchestration platform spanning heterogeneous on-prem and cloud infrastructure; applied dependency-aware scheduling and BFD bin-packing to achieve near-zero queue latency and reduce idle infrastructure capacity by ~90%. • Engineered an OAuth/OIDC-based SSH access platform backed by a centralized certificate authority, replacing long-lived credentials with short-lived certificates and enabling secure, auditable access and automation through GitHub and Okta. • Modernized artifact and dependency infrastructure using Conan and JFrog Artifactory, migrating legacy NFS-based dependencies to versioned, reproducible packages and improving build reliability and scalability across teams. • Developed reusable GitHub Enterprise workflows and custom actions, establishing standardized CI/CD patterns and shared developer infrastructure across repositories and engineering teams.

Senior Enterprise Engineer at LYIK Technologies, Mar 2023 - Apr 2024 · 1 yr 2 mos, Bengaluru, Karnataka, India, * Led backend engineering as the primary backend engineer, building a 0→1 platform using Python (FastAPI) with REST/GraphQL APIs, integrating payments, Frappe ERP, and frontend systems. * Defined backend architecture, data models, and APIs, translating ambiguous requirements into scalable services supporting end-to-end workflows. * Built and operated Azure-based cloud infrastructure using Docker, Terraform, and GitHub Actions, enabling reliable deployments and reproducible environments. * Developed a Docker-based Azure emulator for local distributed testing, reducing feedback loop time by ~70% and eliminating cloud development costs. * Architected a Hyperledger Indy-based identity system for verifiable credentials, implementing secure QR-based encoding, compression, and encryption aligned with zero-trust principles. * Built internal dashboards and tools using Next.js, supporting operational visibility and business workflows. * Improved system reliability through automated integration and regression testing in containerized environments, reducing production issues prior to release.

Software Engineer 2 at Hewlett Packard Enterprise, Jan 2019 - Mar 2023 · 4 y 2 mo, Bengaluru, Karnataka, India, * Built backend systems for Aruba Central, enabling telemetry and monitoring for millions of network devices globally. * Developed Kafka-based event pipelines using Protocol Buffers for efficient serialization, with Elasticsearch, Redis, and PostgreSQL for real-time analytics under FedRAMP-compliant constraints. * Designed event-driven monitoring systems to detect anomalies (thermal, PoE, interface, resource usage), enabling real-time observability at scale. * Built scalable REST/GraphQL APIs to integrate database services with modern tools and distributed applications. * Delivered Database-as-a-Service (DBaaS) capabilities as part of HPE GreenLake, enabling on-prem, private, and public cloud deployments with secure multi-tenancy and enterprise-grade compliance.

Education

Bachelor’s Degree, Information Technology, SRM IST Chennai

Public links

github: https://github.com/gargvasu