Naveen Christopher

Senior Business Analyst · Technical Product Owner · Forward Deployed Engineer

I help bridge business intent and shipped software – eliciting requirements, prioritizing what matters, and building AI-enabled enterprise tools alongside the teams who ship them.

About Me

Working with stakeholders and delivery teams, I elicit requirements, map processes, and build AI-enabled tools, API-driven integrations, and enterprise workflows – helping define what to build, then building it together. Based in the Ottawa area. SAFe 6 Certified. Salesforce Ranger.

Career Timeline

2024-Present

Technical Product Owner / Senior Business Analyst

Tata Consultancy Services (for Cisco)

Requirements & delivery on a partner incentive platform ($400M+ quarterly payouts), AI-assisted VS Code extension ($250K impact), LangGraph agents

2018-2024

Technical Product Owner / Automation Lead

Tech Mahindra

20% release throughput increase, 95+ test coverage, 30% defect reduction, teams of 50+, Salesforce integrations

Skills

Product & Business

SAFe 6 PO/PMRequirementsUser StoriesBacklog MgmtStakeholder Alignment

AI & Agents

LangGraphRAGML2SQLLangFuseTool CallingGroq/Ollama

Engineering

PythonTypeScriptSvelteKit 5VS Code ExtensionsDocker

Platforms & Data

Salesforce CPQVariant ICMREST APIsSQL/PL-SQLMQTT
"The best products emerge when a team owns the full loop together – from user pain to deployed solution. I treat AI output like code from a junior dev: it passes through architecture review, static analysis, tests, and security scanning before it skips."

Featured Work

Problems we framed, prioritized, and delivered as a team — not just the tech underneath. Each card links to a deep-dive case study with the decisions and trade-offs.

Personal · IoT · AI

Voice AI Hub

Designed the safety-vs-AI tiering so conversational AI never blocks sub-10ms safety alerts, and scoped a zero-download demo for instant onboarding.

Safety-critical IoT platform: ESP32 edge devices over MQTT, NL-to-SQL, RAG, and a 3-tier latency architecture.

ESP32MQTTLangGraphTimescaleDB
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Product · AI

Agentic Workflow Engine

Partnered with stakeholders to frame the requirements and human-in-the-loop gates for a 14-agent compensation-cycle assistant — cutting cycle time from weeks to hours with zero autonomous actions on business-critical steps.

LangGraph supervisor orchestrating 14+ phase agents with SSE streaming, Langfuse observability, and a React UI.

LangGraphFastAPIReactLangfuse
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Product · Dev Tools

Enterprise IDE Extension

Prioritized the backlog and shaped the governance/DLP guardrails for AI suggestions alongside the team — work contributing an estimated $250K in annual business impact.

VS Code extension with NL2SQL, Svelte 5 webviews, and dependency graph visualization — 350+ tests (185 unit, 168 E2E).

TypeScriptSvelte 5Copilot APIPlaywright
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Delivery · Automation

Webex Job Status Monitor

Built a Webex bot that turns scattered job runs across ~10 environments into one live status card the whole team watches — in-place edits, threaded start/complete/fail alerts, and self-healing.

Polls an incentive-compensation platform's REST API every 60s and posts live Webex Adaptive Cards plus a PROD/NON-PROD overview of every environment.

PythonWbebex APIsAdaptive Cardssystemd
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Architecture Deep Dive

The Voice AI Hub separates safety-critical alerts from conversational AI across three latency tiers. Click a tier to highlight its components - this is how I think about systems.

ESP32 DevicesMQTT BrokerIngestion + RulesTimescaleDBLangGraph AgentLLM (Qwen3)Flutter App

Get in Touch

Open to Senior Business Analyst, Technical Product Owner, and Forward Deployed Engineer roles - Ottawa or Remote Canada. Send a note and I'll reply from my inbox.