Robin Sharma
Principal Software Engineer Β· Individual Contributor
Overview
Backend engineer with 20+ years of experience building high-performance microservices, developer tools, and automation platforms. Currently focused on Go and Python, with extensive experience containerizing, deploying, scaling, and monitoring on Kubernetes.
Hands-on with LLM APIs and agentic AI coding tools. I enjoy solving problems cleanlyβwhether that's a 10K QPS service or a CLI that saves the team hours each week.
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Experience
Principal Software Engineer
spartan_ranker: description: "Go microservice serving 10K QPS at 40ms P99" impact: "Reduced footprint from 120 pods (6c/20GB) to 40 pods (2c/256MB)" result: "18Γ reduction in compute resources" conductor_platform: description: "Python orchestrator for SEM Autobidder system" features: "YAML-driven relay architecture for Google/Bing campaigns" revenue: "$5-10K daily" argo_workflow_automation: description: "Reusable container-based workflow components" features: "Prometheus metrics, GitLab CI, cookiecutter templates" result: "Reduced implementation time from weeks to days" mr_jeeves: description: "GPT-5.2-powered code review bot (@mr-jeeves)" reviews: "Architecture, security, performance, DoD compliance" adoption: "Engineering and PM teams for daily MR reviews" cloud_migration: description: "Led org-wide migration from VMs to AWS EKS" deliverables: "Migration tooling, CI/CD pipelines, documentation" result: "First IAC subsidiary fully containerized (2019)" developer_tooling: description: "Suite of Python/Go/JS CLIs" tools: "S3 ops, Snowflake queries, GitLab automation, Argo submission"
Senior Software Engineer
- Archie Framework: Core developer on Node.js/Express framework powering all content sites. Implemented XSS protection, caching, middleware API, performance tuning.
- Aggregator Services: Built Go/Java services fanning out queries to Google, Amazon, and internal services with sub-300ms P99 latency.
Earlier Roles
Enterprise Java development, Struts/Spring migrations, web service orchestration (WS-BPEL), and client-facing applications for Capital One, Wells Fargo, and others.
Skills Reference
Languages
Infrastructure
Frameworks
Data
AI / LLMs
Extensive experience leveraging AI coding tools for code reviews, test generation, and rapid prototyping.