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Ali Khatami

Technical Product Leader · Staff-Level Platform Engineer

JPMorgan · API Governance Platform · Guarded AI Automation

Available for Work

Technical Product Leader with Staff-level engineering depth. Six years building developer platforms, AI/LLM automation systems, and API governance tools at enterprise scale. Rebuilt Chase's entire API onboarding lifecycle—cutting governance from 2 months → 1 week and documentation from 4–5 weeks → minutes using LLM pipelines, RAG, graph-based scoring, and OpenAPI-first architecture. Founder of nfrax, a 100+ star open-source SDK ecosystem powering backend, AI, and fintech workflows.

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APIsAPIs Governed

Metrics from API governance approvals, documentation automation, and compliance quality improvements.

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Featured Work

Case studies with context, tradeoffs, and outcomes

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CurrentEnterprise AI
Case Study

~80% faster governance reviews and consistent OpenAPI readiness across 4,000+ APIs.

LangGraph
MCP
LLMs
Vector Search
+3

Context

API onboarding and governance were fragmented: specs drifted, docs went stale, discovery was keyword-based, and duplication was common. Reviews ran through manual JIRA handoffs and tribal knowledge.

Constraints

Enterprise security and audit requirements. Had to integrate with existing JIRA workflows. Needed to scale across thousands of APIs and support internal teams plus external partners.

Key Decisions

  • •Combined deterministic OpenAPI policy checks with LLM-assisted remediation — enforce standards without blocking teams
  • •Generated documentation and user guides from Swagger/OpenAPI with guardrails — consistent docs at enterprise scale

Full Stack

LangGraphMCPLLMsVector SearchOpenAPIFastAPIReact

nfrax

Open Source
Case StudyWebsiteGitHub

3 MIT-licensed SDKs that cut boilerplate and speed delivery.

Python
FastAPI
MCP
Vector Search
+1

Context

Every backend team rebuilds the same primitives: auth, jobs, webhooks, LLM integrations. Time wasted on undifferentiated work.

Constraints

Must be production-grade from day one. MIT license for adoption. Unified API surface across providers.

Key Decisions

  • •Provider-agnostic interfaces — switching LLM providers shouldn't require rewrites
  • •Built-in retry logic and graceful degradation — systems should fail safely, not catastrophically

Full Stack

PythonFastAPIMCPVector SearchPlaid

MCP Servers

AI Infrastructure
Case Study

Repeatable, secure agent workflows adopted org-wide.

MCP
TypeScript
Python
VS Code API

Context

AI agents needed to invoke tools (APIs, databases, docs) but lacked a standardized protocol. Each integration was custom.

Constraints

Must work within enterprise security boundaries. IDE integration required for developer adoption.

Key Decisions

  • •Adopted Model Context Protocol for standardized tool invocation — future-proof as ecosystem matures
  • •Built nfrax-docs MCP for documentation search — agents can query docs without leaving IDE

Experience

VP / Lead Software Engineer + Technical Product Lead

2024 – Present

JPMorgan Chase & Co.

Promoted into hybrid Staff-level engineering + product leadership role to execute the modernization and automation strategy I defined for Chase's 4,000+ API ecosystem.

  • Promoted into hybrid Staff-level engineering + product leadership role to execute the modernization and automation strategy I defined for Chase's 4,000+ API ecosystem.
  • Designed full automation architecture for API governance, documentation, and readiness scoring using LLMs, RAG, and graph-based state machines.

Technical Product Manager — API Platform

2023 – 2024

JPMorgan Chase & Co.

Product owner for API governance and documentation modernization across Chase CCB. Promoted to VP.

  • Product owner for API governance and documentation modernization across Chase CCB.
  • Defined multi-phase modernization roadmap; established platform as enterprise standard for API onboarding and partner delivery.

Senior Associate Engineer — ML & Platform

2021 – 2022

JPMorgan Chase & Co.

Built ML-driven risk forecasting pipelines and full-stack cloud cost visibility platform adopted org-wide.

  • Built ML-driven risk forecasting pipelines; migrated Pandas workloads → PySpark for scalability.
  • Developed full-stack platform (Python/Django + React) for cloud cost visibility and resource planning, adopted org-wide.

Founder & Lead Developer

2024 – Present

nfrax (Open Source · 100+ Stars)

Open-source SDK ecosystem powering backend frameworks, AI agent workflows, and fintech integrations.

  • Open-source SDK ecosystem (100+ GitHub stars) used by startups, internal POCs, and developers building AI agents, backend services, and fintech workflows.
  • Built 4 MIT-licensed SDKs: svc-infra (backend), ai-infra (LLM/RAG), fin-infra (fintech), robo-infra (robotics/IoT).

Founder & Lead Engineer

2019 – 2021

QuantTech Markets

Founder & lead engineer of an ML/NLP-driven equities research and trading platform that outperformed S&P 500 by 5–7%.

  • Founder & lead engineer of an ML/NLP-driven equities research and trading platform.
  • Built algorithmic trading engine that outperformed S&P 500 by 5–7%; sold backend to trading firm while retaining usage rights.

What People Say

”

Ali does a great job working across functional teams. He partners with different groups and captures information with minimal involvement to ensure their daily work is not impacted, while still ensuring proper review and sign-off.

MJ
Product Team•JPMorgan Chase
”

Ali remains focused and positive under pressure, committed to excellent end products. One of his greatest strengths is communication—we can always count on him to keep us informed.

NM
DCE Content Team•JPMorgan Chase
”

Ali was instrumental in helping me get up to speed when I first began. His guidance on navigating our tools was invaluable. He's proactive, prompt, and communicates effectively.

JY
Engineering•JPMorgan Chase

Skills

Product & Strategy

Roadmap Planningexpert
Stakeholder Managementexpert
OKRs & Metricsadvanced

Agentic Systems

LLMsexpert
LangGraphexpert
RAGexpert

Distributed Backend

Javaexpert
Spring Bootexpert
Pythonexpert

Cloud & Delivery

AWSadvanced
Terraformadvanced
Spinnakeradvanced

Developer Experience

SDK Architectureexpert
TypeScriptexpert
Documentation Systemsexpert

Data & Reliability

SQLexpert
NoSQLadvanced
Vector Searchadvanced

Education

Degrees

M.S. Data Science

Bellevue University

4.0 GPA2023

B.S. Quantitative Finance

Hofstra University

3.2 GPA2021

Certifications

Agile Project Management — Google (2021)
Agile with Jira — Atlassian (2021)
AWS Cloud Practitioner — Amazon Web Services (2025)
Algorithms & Data Structures — MIT (2023)
Intermediate ML — Kaggle (2023)

Let's build something that lasts.

Currently open to senior+ engineering roles and select consulting work.

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© 2026 Ali Khatami