Frank Goortani, TOGAF, PMP

Senior AI/ML Engineer • Production LLM Systems • Contract/Freelance

Senior AI/ML Engineer with 25+ years full-stack experience and deep production LLM expertise. Built award-winning ELLE AI Decision Engine at Uber using LangChain, RAG systems, and AI agents, processing millions of decisions across global platform. Expert in Python (FastAPI, LangChain, LangGraph), Go (microservices, YARPC), and React/TypeScript (enterprise web apps), with proven ability to ship production LLM features fast.

Available for contract work (10-40 hrs/week) where I can apply production AI/ML expertise to help companies ship LLM-powered features faster.

Tools, Frameworks, Libraries, Languages, Databases

AI/ML & LLM Frameworks:

LangChain, LangGraph, FastMCP, MCP (Model Context Protocol), CrewAI, Ollama, Prompt Engineering, Agentic Workflows, RAG Systems

Agentic Coding & AI Tools:

Claude Code, Cursor, GitHub Copilot, Aider, Codex, AI-Assisted Development, MCP Development, Agentic Coding Workflows

LLM Platforms:

OpenAI (GPT-4, GPT-3.5), Anthropic Claude (Sonnet, Opus), Google Gemini, Cohere, Meta LLMs, Hugging Face Models, Open Source LLMs

Vector Databases & Embeddings:

OpenSearch, Pinecone, Qdrant, Chroma, Weaviate, Embedding Models, Semantic Search, RAG (Retrieval Augmented Generation)

Backend:

Python (FastAPI, LangFx, Pydantic, Uvicorn, async/await), Go (YARPC, gRPC, microservices), Node.js, Java (Spring Boot), C#

API & Integration:

GraphQL, gRPC, REST, Protocol Buffers, Apache Thrift, Swagger, OAuth2/OIDC, JWT

Frontend:

React 18, TypeScript 5.7, Fusion.js, NextJS, TanStack React Query, Redux, Angular, VueJs, BaseUI, shadcn/ui, Tailwind CSS, Material Design

Cloud Platforms:

Google Cloud (GCP Cloud Run, Firestore, Firebase), AWS (EC2, Lambda, S3, RDS), Azure (VMs, Functions, CosmosDB)

Container & Orchestration:

Docker, Kubernetes (K8S), Helm, Istio, Rancher, Google Kubernetes Engine

Data & Messaging:

Apache Kafka, Cadence, Temporal, Apache Spark (PySpark), Presto, Hive, HDFS, Airflow-like workflows

Databases:

Cassandra, MySQL, PostgreSQL, MongoDB, Redis, DynamoDB, ElasticSearch, CouchDB, SQL Server

DevOps & CI/CD:

Bazel, GitHub Actions, Jenkins, Bamboo, Circle CI, Terraform, Ansible, Chef, Puppet

Monitoring & Observability:

M3, Prometheus, Grafana, Datadog, Splunk, Zap Logging, Jaeger (distributed tracing), Kibana

Testing:

Jest, Pytest, React Testing Library, Playwright, Selenium, Mockito, Unit Testing, E2E Testing

Security & Identity:

Charter (IAM), SPIFFE/SPIRE, RBAC, GDPR/CCPA Compliance, OAuth2, OpenID, OWASP, Data Privacy

Languages:

Python, Go (Golang), JavaScript, TypeScript, Java, C#, Ruby, Swift, Kotlin, SQL, HTML5, CSS3, YAML, JSON

Skills and Achievements

Production LLM Systems: Multi-agent architectures, RAG pipelines, prompt engineering, agentic workflows
Agentic Coding & AI-Assisted Development: Expert in Claude Code, Cursor, GitHub Copilot - achieving 3-5x productivity through AI-powered development workflows, MCP (Model Context Protocol) development, agentic coding patterns
Distributed Systems: Microservices, API platforms, workflow orchestration, event-driven architecture
Full-Stack Development: Python backend, React/TypeScript frontend, Go microservices, cloud-native applications
AI/ML Engineering: LangChain/LangGraph, vector databases, semantic search, model fine-tuning, ML pipelines
Data Engineering: Apache Spark, Kafka streaming, ETL/ELT pipelines, real-time analytics, big data processing
Cloud Architecture: GCP, AWS, Azure - serverless, containerized, and managed services
DevOps & Automation: CI/CD pipelines, infrastructure as code, container orchestration, monitoring/observability
Security Engineering: Authorization systems, privacy automation, GDPR/CCPA compliance, secure coding practices
Technical Leadership: Architecting complex systems, code reviews, technical mentorship, best practices enforcement
Rapid Prototyping: MVP development, 0→1 builds, leveraging agentic coding tools for accelerated development cycles

Work Experience

Solution Architect
Uber

Jan 2021 - Present
Remote

ELLE (EngsecLLM Engine) - AI Decision Engine

Achievement: Won multiple internal Uber innovation awards for automating Technical Privacy review workflows, reducing manual review time by 70%.

Technical Leadership:

Architected and built production LLM system processing millions of security/privacy decisions across Uber's global platform
Designed multi-agent architecture using LangChain and LangGraph with ReAct and self-reflection patterns
Implemented 6+ automated workflows: Technical Privacy Review, Security Guidance, Legal Review, DSAR Automation, Data Classification, Compliance Checking
Built RAG system with OpenSearch vector store for semantic search across security policies, privacy regulations, and compliance documentation
Developed authorization middleware (Go, YARPC, Charter) with 96% test coverage and dual inbound/outbound protection
Integrated with 30+ Uber platform services: USSO (auth), Charter (IAM), Cadence (workflows), M3 (metrics), Zap (logging)

Technologies: Python (FastAPI, LangChain, LangGraph, FastMCP), Go (YARPC, gRPC), OpenAI API, OpenSearch, Cadence workflows, Cassandra, Redis, Kafka, Claude Code (AI-assisted development)

Technical Highlights:

Implemented prompt engineering strategies achieving 92% accuracy on privacy classification tasks
Designed agentic workflow orchestration handling 100K+ requests/month with sub-200ms p95 latency
Built automated monitoring with Zap logging, Tally metrics, and Jaeger distributed tracing
Leveraged Claude Code and agentic coding tools achieving 3-5x development velocity on AI features

9 Enterprise Privacy Web Applications - Full-Stack Expertise

Led full-stack development of 9+ mission-critical privacy web applications serving Uber's global compliance teams:

Elle Web - EngsecLLM Engine Frontend (React 18, TypeScript, Fusion.js)
IRIS Web - Privacy Web Frontend (GDPR/CCPA compliance automation)
DSAR Web - Subject Access Request Automation (automated workflows reducing manual work by 60%)
UDE (User Data Explorer) - Data discovery and lineage tracking
Consents Manager Web - Contextual consent management (GDPR/CCPA compliant)
Web CMP - IAB TCF v2 Compliant Consent Management Platform (cookie consent across 70+ countries)
TPRM QC Copilot Web - Third-Party Risk Management quality control
Agentic AI Observability Web - Real-time monitoring for AI agent systems
Design Review Web - Privacy design review workflows

Technologies: React 18, TypeScript 5.7, Fusion.js (universal rendering), TanStack React Query, Redux, BaseUI, Styletron (CSS-in-JS), Protocol Buffers (RPC), Jest (34+ test suites), Playwright (E2E testing), Bazel (monorepo builds)

Technical Achievements:

Implemented universal rendering with Fusion.js achieving 40% faster page load times
Built type-safe RPC communication via Protocol Buffers for 30+ backend services
Comprehensive testing achieving 96% code coverage across all applications
Integrated IAB TCF v2 compliance (Web CMP) for cookie consent across Uber's global web properties

50+ Security Infrastructure Projects - Python Monorepo

Led development of 50+ security infrastructure projects in Python monorepo spanning AI/ML, data engineering, and automation:

AI/ML Projects:

LLM-powered security automation using LangChain, LangGraph, and FastMCP (Model Context Protocol)
Built custom MCP servers for agentic workflows and tool integration (Model Context Protocol development)
RAG systems for security policy search (OpenSearch vector store, semantic embeddings)
Multi-agent systems with self-reflection and ReAct patterns
Container image remediation assistant (LangFx service with JIRA integration)
Developed AI-assisted coding workflows using Claude Code, Cursor, and GitHub Copilot

Data Engineering:

Apache Spark pipelines for security event processing
Kafka streaming for real-time security alerts
Presto SQL queries for compliance reporting

Technologies: Python 3.9/3.11, LangChain, LangGraph, FastMCP, Apache Spark, Kafka, Presto, OpenSearch, Pinecone, Qdrant, Bazel, pytest

40+ Engineering Security Projects - Go Microservices

Contributed to 40+ Engineering Security projects in Uber's Go monorepo, including core platform services:

Major Contributions:

Charter - Uber's authorization platform (IAM equivalent), designed RBAC policies, integrated Decision Service
SPIRE/SPIFFE - Workload identity framework, implemented service-to-service authentication
USSO (Uber SSO) - Single Sign-On integration across all internal tools
Authorization Middleware - Production-ready middleware with 96% test coverage, dual inbound/outbound protection
Distributed Systems - Go microservices using YARPC, gRPC, Cadence workflows, Kafka messaging

Technologies: Go (Golang), YARPC, gRPC, Protocol Buffers, Apache Thrift, Charter, SPIFFE/SPIRE, authfx, OAuth2, JWT, Cadence, Kafka, Cassandra, MySQL, Redis, Bazel, Docker, Kubernetes

Technical Achievements:

Solved complex circular dependency challenges using MCP Gateway pattern with fx.Lifecycle hooks
Implemented dual middleware architecture achieving comprehensive endpoint coverage
Built distributed tracing integration with Jaeger for debugging microservices

AI Solutions Lead
BayRockLabs / VisionZLab

Jan 2021 - Present
Remote

Consulting Engagements:

Led GenAI implementations for clients across legal tech, fintech, healthcare, ecommerce, and manufacturing
Built production LLM systems using LangChain, RAG architectures, and AI agents
Implemented full-stack solutions (React, NextJS, Python, Firebase, GCP)
Delivered technical interviews for top-tier companies (Robinhood, Netflix, Airbnb, Peloton, Gap)

Key Projects:

FasterOutcomes (Legal AI): RAG system for legal document analysis, contract review, compliance checking
Counta AI (Accounting): Multi-agent accounting automation workflows
Ecommerce AI: Product recommendations, inventory optimization, customer behavior prediction
Manufacturing AI: Predictive maintenance, quality control automation

Technologies: Python (LangChain, LangGraph, FastAPI), React, NextJS, Firebase/Firestore, GCP, OpenAI, Anthropic Claude, Pinecone, Qdrant

Industries: Legal Tech • Fintech • Healthcare AI • Ecommerce • Manufacturing • Hospitality

Lead Solution Architect
Home Depot Canada

Dec 2017 - Dec 2019
Toronto, Canada

Team Leadership:

Led team of 10+ onshore and 50+ offshore developers for homedepot.ca website
Architected ecommerce platform migration to microservices architecture
Built onshore mobile app team from scratch (iOS/Android native development)

Technical Achievements:

Designed and implemented Angular Universal Server-Side Rendering for SEO and social sharing
Architected microservices migration using Google Cloud and Kubernetes (Java Spring, Node.js, Cloud Functions)
Built React and Angular component libraries from scratch with Storybook integration
Implemented caching layer leveraging Redis, reducing API response times by 60%
Designed Apache Kafka messaging layer for event-driven microservices architecture
Led mobile DevOps automation using Jenkins, Fastlane, achieving 90% deployment automation

Technologies: Angular 9, React, TypeScript, Java Spring Boot, Kubernetes, GCP, Kafka, Redis, Hybris, AEM, iOS (Swift), Android (Kotlin)

Senior Manager, Enterprise Applications
TD Bank

Oct 2014 - Jun 2015
Toronto, Canada

Led team of 12+ developers delivering BI projects for banking operations
Designed and implemented Banking Services Data Mart for OMEGA-PEGA project (PowerDesigner, SSIS, SSRS, SSAS)
Developed SharePoint and ASP.NET applications for internal reporting solutions

Technologies: SQL Server, SSIS/SSAS/SSRS, MDX, .NET 4.5, ASP.NET MVC4, SharePoint, TIBCO, Cognos

Solution Architect
CAA South Central Ontario

Apr 2012 - Nov 2013
Thornhill, Canada

Designed complex Data Warehouse projects in Finance, Insurance, and Travel industries
Implemented ESB web projects using latest SOA and TOGAF patterns (WCF, Web Services, .NET 4.5)
Led SQL Server Infrastructure design and upgrades (clustering, performance optimization)
Architected Enterprise Data Dictionary solution for data warehouse governance

Technologies: SQL Server 2012, SSIS/SSAS/SSRS, QlikView, C#, .NET 4.5, WCF, TOGAF, SharePoint, Windows Azure

Availability & Contract Details

Available for contract work: 10-40 hours/week
Remote-only: 100% remote (Aurora, Ontario, Canada)
Rate: $80-$120/hr depending on project scope and duration
Start: Immediate availability (1-2 week notice for onboarding)
Contract Types: Hourly, monthly retainer, project-based
Preferred Platforms: Direct contracts, Toptal, Braintrust, Gun.io

Ideal Projects:

Production LLM system implementation (RAG, AI agents, agentic workflows)
AI/ML feature development for existing products
Full-stack AI application development (Python backend + React frontend)
Technical architecture and system design for AI-first companies
Data engineering and ML pipeline development
Microservices architecture and distributed systems

Education and Professional Development

Personal AI Products and Services

https://fasteroutcomes.com - AI Legal Tech Platform (2024)
https://counta.ai - AI Accounting Automation (2024)
https://frwrd.ai - AI Product (2023)
https://visionzlab.com - AI Development Studio (updated 2023)
https://maktub.app - SaaS Application (2018)

Certifications

Certified Data Scientist, Johns Hopkins University, 2015
PMP Certified (Project Management Professional), PMI, 2013
TOGAF 9.1 Certified, The Open Group Architecture Framework, 2013
ITIL Foundation, Mind Leaders, 2013
MCPD - Web Application Development 2008, Microsoft, 2012
MCITP - Database Developer 2008, Microsoft, 2012
Agile Project Management Strategy and Analysis, 2013
Data Warehousing Management, Mind Leaders, 2013
OWASP Top 10, Security Compass, 2012

Academic Degrees

M.Sc. in Management, AmirKabir University of Technology (Tehran Polytechnic), 2003
B.Sc. in Computer Software Engineering, AmirKabir University of Technology (Tehran Polytechnic), 2001

Thought Leadership & Community

LinkedIn: 13K+ followers • AI/ML thought leader in production LLM systems, agentic coding, MCP development, and AI-powered development workflows

Medium: @FrankGoortani • Published technical articles on LangChain, RAG systems, AI Agents, Claude Code, agentic coding, MCP servers, production AI systems, and distributed architectures

GitHub: github.com/FrankGoortani • Open source contributions and AI/ML example repositories

Speaking & Teaching:

Corporate Instructor - The Judge Group (Cloud Migration course, 2017-2019)
College Instructor - George Brown College (Web & BI, 2014-2017)
International Instructor - Learning Tree (Data Warehousing, 2014-2015)