Backend & Agentic AI Platform Engineer
I turn complex workflows into dependable products.
8+ years building backend, data/search, and AI platforms across legal research, healthcare, commerce, hospitality, and education. Strongest at taking an ambiguous problem from architecture to reliable production software.
- Agent and workflow runtimes: graph APIs, validation, parallel execution, retries, resume, human approvals, and LLM-powered steps.
- Triggers and operations: schedules, email/external events, run catalogs, usage visibility, and tenant-aware access controls.
- AI collaboration: versioned, shareable, and forkable agents; workspace controls; data ingestion; tool and model integrations.
- Legal data and search: document ingestion, PDF processing, advanced/fuzzy search, indexing, and analytics over large legal collections.
- Product platforms: core services for healthcare, commerce, hospitality, and event products—including authentication, reporting, and deployment foundations.
- Reusable backend tooling: database-to-search pipelines, complex query resolution, shared authentication, email, and developer infrastructure.
| Project | What it demonstrates |
|---|---|
| MongoESIndexer | Recoverable, near-real-time MongoDB → Elasticsearch data pipelines. |
| Flowise contribution | Merged reliability fix for a popular open-source AI workflow platform. |
| Mongo Query Resolver | Simpler nested relationships and complex queries for MongoDB applications. |
Public cards do not include all work from private organization repositories.
TypeScript · Node.js · NestJS · Python · MongoDB · PostgreSQL · Elasticsearch · Redis · AWS · Docker