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Ravi Menon

Staff Software Engineer | AI / GenAI Backend Engineer | Python, Java & AWS
ravi.menon@example.com+1 (408) 555-0174linkedin.com/in/ravimenon

Summary

Staff Software Engineer with 18+ years building and running backend services, distributed systems, cloud platforms, and automation for regulated, high-reliability environments. Currently focused on production GenAI engineering: LLM applications and AI agents in Python, orchestration with LangChain and LangGraph, Google ADK, retrieval-augmented generation, tool calling, and human review built into every automated decision. Deep backend foundation in Python and Java, REST and GraphQL APIs, microservices, SQL data modeling, and asynchronous processing, with enough React and TypeScript to ship complete features. Hands-on with AWS and GCP (Lambda, ECS, S3, DynamoDB, RDS, IAM, Kubernetes, Cloud Run) and with Terraform, CI/CD, and observability, favoring automated tests, traceability, and controlled releases. Known for leading design reviews, writing clear technical specs, mentoring engineers, and working closely with product, QA, security, and infrastructure teams.

Core Skills

AI / GenAI / Agentic AI:Python, LangChain, LangGraph, Google ADK, LLM Applications, AI Agents, Multi-Agent Workflows, RAG, Prompt Engineering, Tool/Function Calling, MCP, Human-in-the-Loop, Guardrails, Structured Output Validation, Evaluation & Regression Testing, OpenAI API, Hugging Face, LlamaIndex, Pydantic

Regulated Systems & Compliance:Computer System Validation, GxP Concepts, 21 CFR Part 11, GAMP 5, Requirements Traceability, Risk-Based Validation, Audit Trails, Change Control, Release Validation

Quality & Workflow Integration:Quality Management System Integration, REST/Web Services, Workflow Integration, Auditability, Traceability, Validation Workflows

Application & Backend Engineering:Python, Java, FastAPI, Django, Flask, REST APIs, GraphQL, OpenAPI, Microservices, asyncio, aiohttp, httpx, SQL, Relational Data Modeling, Concurrent Processing

Full-Stack Development:React, TypeScript, JavaScript, Angular, API-Driven User Interfaces

AWS & Cloud Architecture:AWS, Lambda, ECS, EC2, S3, DynamoDB, RDS, IAM, CloudWatch, Kubernetes, GCP, GKE, Cloud Run, BigQuery

Enterprise Integration:Event-Driven Integration, Kafka, API Contracts, Data Validation, Authentication & Authorization, OAuth 2.0, JWT

Testing & Quality Engineering:PyTest, Unit & Integration Testing, Automated Regression Testing, API Validation, AI Output Validation, CI/CD Quality Gates, Controlled Deployment

Infrastructure & DevOps:Terraform, Ansible, Docker, Kubernetes, Jenkins, GitHub Actions, GitLab CI, Infrastructure as Code, Configuration Management

Observability & Production Support:Prometheus, Grafana, CloudWatch, Splunk, ELK, Structured Logging, Metrics, Alerting, Failure Analysis, Production Troubleshooting

Experience

Staff Engineer | Northwind DevicesJan 2025 – Present

AI-Assisted Test Automation Platform
  • Led the design of Python/FastAPI services and AI-agent workflows that generate, run, and report on automated tests across the engineering organization.
  • Built stateful orchestration in LangChain and LangGraph with explicit workflow states, tool calls, retries, fallbacks, and failure isolation.
  • Developed AI agents with Google ADK and connected LLM capabilities to existing backend and automation services.
  • Added human-in-the-loop review so AI-generated test plans and actions are approved before they reach CI/CD.
  • Created evaluation and regression suites in PyTest that score AI outputs, API behavior, and end-to-end workflows on every change.
  • Designed REST integration services linking AI workflows to test infrastructure and downstream engineering systems.
  • Scaled high-concurrency services with asyncio, aiohttp, and httpx to support growing AI and automation workloads.
  • Deployed services across AWS and GCP, including ECS, Lambda, S3, DynamoDB, GKE, Cloud Run, and BigQuery.
  • Implemented authentication, authorization, input validation, structured logging, audit trails, and alerting for production AI services.
  • Wired automated validation into Jenkins, GitHub Actions, and GitLab CI for gated builds and verified deployments.
  • Drove architecture reviews, RFCs, code reviews, and production-readiness checks.
  • Partnered with QA, platform, firmware, and product teams to turn requirements into dependable AI features.

Staff Engineer | Northwind Devices

Device Health & Telemetry Platform
  • Built asynchronous FastAPI services (Python 3.11) that ingest health and firmware telemetry from connected consumer devices at scale.
  • Split the platform into telemetry, firmware, authentication, and device-sync microservices serving thousands of concurrent connections, with storage in DynamoDB, S3, and PostgreSQL.
  • Decoupled producers and consumers with MQTT, Kafka, and AWS IoT Core so processing stays reliable under burst traffic.
  • Published versioned OpenAPI contracts for web, mobile, and cloud clients, secured with OAuth 2.0 and JWT.
  • Set up CI/CD with linting, PyTest, multi-stage Docker builds, and Prometheus, Grafana, and CloudWatch monitoring.
  • Coached engineers on async design, testing strategy, and performance profiling.

Staff Engineer | Northwind Devices

Infrastructure Automation Platform
  • Created Python and Ansible services that provision and standardize environments, integrated with Jenkins, GitLab CI, and GitHub Actions.

Senior Python Developer / DevOps Engineer | Summit Financial GroupAug 2022 – Dec 2024

  • Built a configuration-compliance platform of FastAPI microservices that checks large Hadoop clusters against internal standards.
  • Automated validation runs, reports, and notifications with Ansible Tower, with PyTest coverage in CI/CD.
  • Designed cluster monitoring with Prometheus, Elasticsearch, Kibana, and Grafana, including real-time dashboards and proactive alerts.
  • Automated patching, replication, and scheduling with Ansible job templates and Terraform provisioning.

Senior Python Developer | Kinetic MotorsMar 2021 – Jul 2022

  • Built GraphQL and Django microservices for a dynamic-pricing platform covering vehicles, service parts, and energy products.
  • Extended Java/Spring Boot services and REST APIs alongside the Python stack, including business logic, data access, and validation.
  • Connected Python and Java services through REST and GraphQL for pricing and parts workflows.
  • Wrote concurrent data pipelines with asyncio and aiohttp, and moved long-running jobs to Celery workers.
  • Built AWS Lambda and BigQuery services for a security-testing automation platform.
  • Owned the team's CI/CD and infrastructure as code with Docker, Ansible, Jenkins, and Terraform.

Senior Software Engineer (Python) | Meridian NetworksFeb 2017 – Feb 2021

  • Built Django services for usage-based billing across compute, storage, and networking products.
  • Moved monitoring and invoicing tools to React, GraphQL, and Django, and used R for usage forecasting.
  • Kept CI/CD reliable with Jenkins, Docker, Ansible, and Terraform; built metering APIs and usage reports.

Automation & DevOps Engineer | Crestline IT ServicesJun 2013 – Jan 2017

  • Automated database and application refresh pipelines and data-migration tooling; built CI/CD pipelines with Docker, Ansible, and Jenkins.

Application Developer & Release Manager | Brightpath MobileJan 2010 – May 2013

  • Built and released iOS and Android apps, and ran disaster recovery and application monitoring.

Database Administrator | Harbor Data SystemsJul 2007 – Dec 2009

  • Administered production Oracle databases and applications, including cloning, patching, backup, and recovery.

Certifications

AWS Certified DevOps Engineer – Professional

Professional Certificate in Data Science

Certified Scrum Master

ITIL Foundation

Education

Bachelor of Technology, Electronics Engineering | State Institute of Technology2007

Questions

Is it free?

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Is my LinkedIn data uploaded anywhere?

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What does ChapterCV import from my profile?

Your name, headline, location, contact details, summary, every role with its company, dates, location, and description, education, top skills, languages, and certifications.

What should I check after importing?

LinkedIn's PDF lists only your top three skills, so add the rest. LinkedIn descriptions are often paragraphs; ChapterCV splits them into one line per sentence, and short, results-focused bullets read best on a resume.

Where is Save to PDF on LinkedIn?

Open your own profile on LinkedIn in a desktop browser. Select Resources (on some layouts, More) below your headline, then Save to PDF.

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