Ashutosh Singh

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Ashutosh Singh

Staff Backend & Platform Engineer

Python, distributed systems, cloud platforms, and production engineering.

Staff-level backend and platform engineer with 13+ years of experience across Python, TypeScript, distributed systems, cloud infrastructure, and production reliability. Built and shipped Rigour and Rigovo from zero, and recently led the CTP platform migration at Turing across GCP projects, Kubernetes, Terraform, Workload Identity Federation, Keycloak/SSO, observability, and event-driven task operations. Hands-on with Python services, PostgreSQL, Redis, Pub/Sub, Cloud SQL, Kubernetes, and a working familiarity with Go for backend systems.

Quick Stats

Experience13+ years
Users Impacted100K+
Avg Performance Gain75%
πŸ†

Built, Migrated & Shipped Production Platforms

Recently led Turing's CTP platform migration across dev, preprod and prod GCP projects with Terraform, Kubernetes, WIF, Keycloak, GitHub Actions, observability, and zero-downtime cutover planning. Also created Rigour β€” an open-source quality gate system with 19 deterministic gates, 44 releases on NPM, and MCP integration for Claude, Cursor & VS Code, plus Rigovo, an AI interviewer processing 6,824 signal events across 82 pilot interviews.

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About Me

Staff-level backend and platform engineer who builds production systems from scratch β€” then ships them

3
Platforms Shipped
44
NPM Releases
19
Quality Gates Built
13+
Years Engineering

Professional Summary

Staff-level backend and platform engineer with 13+ years of experience across Python, TypeScript, distributed systems, cloud infrastructure, and production reliability. Built and shipped Rigour and Rigovo from zero, and recently led the CTP platform migration at Turing across GCP projects, Kubernetes, Terraform, Workload Identity Federation, Keycloak/SSO, observability, and event-driven task operations. Hands-on with Python services, PostgreSQL, Redis, Pub/Sub, Cloud SQL, Kubernetes, and a working familiarity with Go for backend systems.

Most recently built and migrated CTP at Turing β€” a multi-team task-operations platform spanning GCP, Terraform, Kubernetes, Keycloak, Secret Manager, Pub/Sub, Cloud SQL, Firebase, Discovery Engine, GitHub Actions, and observability. Backend work spans Python services, TypeScript/Fastify services, PostgreSQL, Redis, queues, idempotent event flows, and production debugging. Also built Rigour β€” an open-source quality gate system with 19 deterministic gates, AST-based complexity analysis, security vulnerability detection, and an MCP server for Claude Desktop, Cursor, and VS Code. Created Rigovo, an AI interviewer with voice interaction and real-time 15-signal verification.

Before and alongside founder work, led engineering at Turing (AI/AGI platforms, identity, task operations, distributed event systems) and ICE Mortgage Technology (cloud migration, CI/CD, analytics). 13+ years across Python, TypeScript, GCP, AWS, Kubernetes, distributed systems, and a light working familiarity with Go for backend services.

Key Highlights

Founder & Builder

Built two products from zero to production: Rigour (open-source quality gates for AI code, 44 releases on NPM) and Rigovo (AI-powered technical hiring with voice interviews and 15-signal verification).

Developer Tooling & AI Agents

Deep expertise in AST analysis, MCP protocol integration, Fix Packet schemas, multi-agent governance, and building tools that enforce engineering standards deterministically.

Platform Architecture & Migration

Led CTP and identity migration across dev, preprod, and prod GCP projects with Terraform, Workload Identity Federation, Keycloak, GitHub Actions, Kubernetes, and SRE dashboards.

Full-Stack Production Systems

Python, TypeScript, Node.js, FastAPI, Fastify, PostgreSQL, Redis, Pub/Sub, GCP, AWS, and Kubernetes. Comfortable from backend APIs and data models to CI/CD and production debugging.

Experience

A journey of 13+ years in software engineering and team leadership

Turing

Current

Senior Staff Engineer (Platform Engineering)

Jul 2025 - Present
Remote, India
  • Lead platform architecture for CTP, identity, AGI-OS, Prism, and canvas infrastructure across dev, preprod, and prod GCP projects
  • Built Terraform foundation with GKE, Cloud SQL, Pub/Sub, Secret Manager, Firebase, Discovery Engine, labels, state buckets, and least-privilege WIF
  • Migrated identity and CTP through branch-based deployments, Keycloak realm automation, GitHub Actions promotion, and zero-downtime cutover planning
  • Designed SRE-grade Google Cloud Monitoring dashboards for p95 latency, RPS, 5xx, workloads, DLQs, event drainer, media/admin/annotator, and task usage
  • Build and debug backend services across Python, TypeScript/Fastify, PostgreSQL, Redis, Pub/Sub, task queues, idempotent consumers, and external vendor integrations
  • Own technical execution across AGI/LLM systems including task operations, context indexing, Prism QC integration, and AGI-OS event workflows
GCPKubernetesTerraformGitHub ActionsKeycloakPostgreSQLPub/SubCloud MonitoringTypeScriptPythonGoRedisAI/ML

ICE Mortgage Technology

Recent

Senior Software Engineer / Lead

Aug 2024 - Jun 2025
Atlanta, USA and Pune, India
  • Reduced deployment cycles 85% via CI/CD automation
  • Increased messaging throughput 65%
  • Built user-behavior analytics improving data accuracy 35%
  • Led cloud migration improving scalability 48%
  • Mentored a 12-engineer team
AWSCI/CDAnalyticsCloud MigrationTeam Leadership

ICE Mortgage Technology

Recent

Lead Software Engineer

Feb 2024 - Aug 2024
Pune, India
  • Delivered AI analytics and LLM tools
  • Improved prediction accuracy and issue resolution 40%+
  • Improved system efficiency 37% by removing bottlenecks and optimizing workflows
AI AnalyticsLLMSystem OptimizationPerformance Tuning

ICE Mortgage Technology

Previous

Staff Software Engineer

Sep 2020 - Feb 2024
Pune, India
  • Delivered 30+ projects, improving team output 28%
  • Built Micro UI Simulator cutting testing time 40%
  • Maintained compliance documentation for 30+ projects
MicroservicesUI TestingProject ManagementCompliance

Xoriant Solutions Pvt. Ltd

Previous

Technical Lead

Oct 2017 - Sep 2020
Pune, India
  • Built scalable AWS data pipelines improving processing efficiency 30%
  • Coordinated multi-project delivery across 5+ teams to improve alignment and throughput
AWSData PipelinesMulti-team CoordinationTechnical Leadership

Various Companies

Early Career

Senior Software Engineer

2012 - 2017
Multiple Locations
  • Senior Software Engineer at Globant, Tavisca Solutions, Aloha Technology
  • Freelancer developing various software solutions
  • Built foundation in software engineering and development practices
Software DevelopmentMultiple TechnologiesFreelancing

Skills & Expertise

Comprehensive technical skills across the full software development lifecycle

Python Backend Services

94%

FastAPI

92%

Node.js / Fastify

88%

REST API Design

91%

Microservices & Service Boundaries

90%

Event-Driven Architecture

88%

Production Debugging & Observability

88%

Keycloak / OIDC

86%

Certifications

AWS Certified Solutions Architect β€” Associate

Amazon Web Services

Key Technologies

TypeScriptPythonGoBackend EngineeringDistributed SystemsAST AnalysisMCP Protocolweb-tree-sitterZodNode.jsFastifyReactGCPTerraformWorkload Identity FederationKeycloakCloud MonitoringAWSpnpm MonorepoGitHub ActionsVitestFastAPIPostgreSQLRedisPub/SubCloud SQLVoice AILLMDockerKubernetesCI/CDOpen Source

Key Projects

Detailed showcase of major projects and achievements across my career journey

Production

Rigour - Quality Gates for AI-Generated Code

Jan 2026 - Present
Founder & Solo Engineer

Open-source system that forces AI coding agents to write production-grade code. Sits between the agent and the codebase, enforcing structural, complexity, and security standards before code ships.

AI agents routinely claim "done" while leaving TODO comments, God files, and complexity violations. Rigour solves this with a stateless feedback loop: deterministic quality gates check the filesystem, produce structured Fix Packets (machine-readable JSON diagnostics), and the agent self-heals. No cloud, no telemetry, fully local. Published on NPM with 44 semantic releases, MIT licensed, with MCP server integration for Claude Desktop, Cursor, and VS Code.

Technologies Used

TypeScriptNode.jsweb-tree-sitterAST AnalysisZodMCP ProtocolVitestpnpm MonorepoGitHub Actions

Key Achievements

  • Engineered 19 quality gates: cyclomatic complexity, method count, nesting depth, file size, content hygiene, security vulnerabilities (SQLi, XSS, CSRF, prototype pollution)
  • Invented Fix Packet v2 schema β€” structured JSON diagnostics that agents consume to self-heal without human intervention
  • Built multi-agent governance: scope isolation, conflict detection, checkpoint supervision, context drift prevention
  • Implemented MCP server for native integration with Claude Desktop, Cursor, Cline, and VS Code
  • Architected as a pnpm monorepo (4 packages, ~3,300 SLOC) with strict TypeScript and Zod schema validation
  • Published 44 semantic releases across @rigour-labs/core, @rigour-labs/cli, and @rigour-labs/mcp on NPM
  • Built Supervisor Mode: iterative agent execution with automated gate checks and Fix Packet feedback loops
  • Supports TypeScript, JavaScript, and Python via web-tree-sitter AST analysis with universal fallback

Impact Metrics

44 on NPM
releases
19 Quality Gates
gates
3 Languages
languages
Zero Dependencies
cloud

Get In Touch

Ready to discuss your next project or explore opportunities? Let's connect.

Connect With Me

Featured Achievement

Reduced OSWorld++ evaluation costs by 67% through intelligent Pioneer/Follower caching architecture β€” saving $16,757 per full run while maintaining 100% success rate.

Ashutosh Singh β€” Staff Backend Engineer, Platform Engineer, and Technical Founder

Staff-level backend and platform engineer with 13+ years of experience in Python, TypeScript, distributed systems, cloud infrastructure, microservices, PostgreSQL, Redis, Pub/Sub, Kubernetes, observability, and production debugging. Founder of Rigour Labs. Creator of Rigour (open-source quality gates for AI-generated code) and Rigovo (AI-powered technical hiring platform). Senior platform engineer at Turing who led CTP platform modernization across GCP, Terraform, Kubernetes, Keycloak, Workload Identity Federation, GitHub Actions, observability, and event-driven task operations. Has working familiarity with Go for backend systems.

Backend Staff Engineer Profile

Backend strengths include Python service development, FastAPI, Node.js and Fastify services, REST API design, service boundaries, multi-tenant systems, PostgreSQL, Cloud SQL, Redis, Pub/Sub, idempotent consumers, task queues, vendor integrations, production incident triage, distributed tracing, structured logging, dashboards, and cloud-native deployment on Kubernetes. The profile is suitable for staff backend engineering, platform engineering, infrastructure engineering, and distributed systems roles.

CTP Platform β€” GCP Migration, Identity, Canvas, and Task Operations

Led the Central Task Platform migration at Turing across dev, preprod, and prod GCP projects. Designed Terraform-managed foundation for GKE, Cloud SQL, Pub/Sub, Secret Manager, Firebase, Discovery Engine, Cloud Monitoring, Cloud Trace, and state buckets. Implemented Workload Identity Federation and least-privilege service accounts for infra, CTP, identity, AGI-OS, Prism, and canvas repositories. Migrated Keycloak identity through CTP-owned realm automation, Google broker setup, OIDC clients, roles, and GitHub Actions deployment. Built SRE dashboards for p95 latency, RPS, 5xx, workloads, DLQs, event drainer, media, admin, annotator, task usage, Prism QC, and AGI-OS integration health. Backend scope included Python and TypeScript services, PostgreSQL, Redis, Pub/Sub, Cloud SQL, task queue lifecycle, identity-aware authorization, vendor events, and production runbooks.

Rigour β€” Open-Source Quality Gates for AI Code

Rigour is a local-first, deterministic quality gate system with 19 gates including AST-based complexity analysis, security vulnerability detection, and content hygiene. Features Fix Packet v2 schema for agent self-healing, MCP server integration for Claude Desktop, Cursor, and VS Code, multi-agent governance with scope isolation and conflict detection, and Supervisor Mode for iterative agent execution. 44 semantic releases on NPM. MIT licensed. Zero cloud dependencies.

  • Website: https://rigour.run
  • Documentation: https://docs.rigour.run
  • GitHub: https://github.com/rigour-labs/rigour
  • NPM: https://www.npmjs.com/package/@rigour-labs/cli

Rigovo β€” AI-Powered Technical Hiring

Rigovo deploys Maya, an autonomous AI interviewer conducting 20-45 minute adaptive technical interviews via voice. Features 15-signal real-time verification engine, AI Collaboration Depth measurement, evidence reports with skill-by-skill scoring, and enterprise features including Stripe billing, WorkOS SSO, and GDPR/CCPA compliance. 82 beta interviews processed generating 6,824 signal events.

  • Website: https://rigovo.com
  • Product: https://rigovo.com/product

Technical Expertise

Developer Tooling: AST analysis (web-tree-sitter), Model Context Protocol (MCP), CLI development, monorepo architecture, NPM package publishing, CI/CD pipelines. Programming: Python, TypeScript, Node.js, React, Next.js, FastAPI, Fastify, and light Go. Cloud: GCP, AWS, Docker, Kubernetes, Terraform, Workload Identity Federation, GitHub Actions, Cloud SQL, Pub/Sub, Secret Manager, Cloud Monitoring, Cloud Trace. AI/ML: LLM integration, Google Gemini, agent governance, voice AI (LiveKit). Data: PostgreSQL, Redis, Supabase, Prisma.

Contact

Email: ashu.singh212@gmail.com | GitHub: https://github.com/erashu212 | LinkedIn: https://www.linkedin.com/in/ashu212/ | Portfolio: https://erashu212.vercel.app