Senior TypeScript / Python AI Engineer

AI & Automated CRM

About the Project

Cloud-native autonomous agent platform unifying CRM and lead operations into a single event backbone. The agent layer handles scoring, intent parsing, and routing while requiring operator review before state changes or outbound actions execute.

• Sales

Responsibilities

- Designed a multi-step agent workflow across intake, enrichment, scoring, and routing decision nodes with defined input/output schemas, retry logic, and dead-letter fallback for unresolvable states; - Built an approval queue layer in Node.js where the agent halts after routing decisions and writes structured recommendations to SQS for operator review; - Built Pydantic schema enforcement so structured and auditable output is produced at every node before reaching downstream systems; - Implemented an immutable audit log recording agent recommendations, confidence scores, operator identity, decision timestamps, and resulting actions; - Designed escalation logic for pending approvals to reroute unreviewed items to the next operator;

Veterinary Health Platform

About the Project

High-stakes consumer health application requiring structured confidence scoring and policy-defined boundaries on agent output before recommendations reach end users.

• HealthTech

Responsibilities

- Designed a multi-agent pipeline in LangGraph and Temporal covering symptom intake, retrieval, differential reasoning, and recommendation generation; - Implemented persistent state between workflow nodes and explicit interrupt points when confidence dropped below threshold; - Built a NestJS orchestration layer exposing agent workflow endpoints, webhook consumers, and approval callbacks; - Built a document ingestion and retrieval pipeline using LlamaIndex with Pinecone, including chunking strategies and metadata filters; - Built a production recommendation engine returning structured verdicts, confidence scores, and written rationales with Pydantic enforcement; - Architected a FastAPI and NestJS backend with PostgreSQL and MongoDB data layer;

MarineIQ

About the Project

End-to-end service management platform covering the full vessel lifecycle with an AI-powered inspection and recommendation layer.

• Management

Responsibilities

- Built an AI-powered digital inspection engine converting unstructured technician field notes into structured inspection reports; - Generated categorized findings, recommended follow-up services, and customer-facing summaries with Pydantic validation; - Built a service recommendation layer analyzing vessel history, service intervals, and inspection findings for proactive maintenance recommendations ; - Designed a real-time scheduling engine with drag-and-drop job management and live field status updates; - Built customer communication automation including AI-generated status updates, digital inspection sharing, and e-contract approval workflows;

Cloud-Based Legal Practice Management & Billing Platform

About the Project

Law firm billing platform with Stripe payment integration, client invoice approval workflows, and real-time budget tracking.

• LegalTech

Responsibilities

- Built an invoice lifecycle from billing entry and client review to approval confirmation and Stripe charge execution; - Ensured Stripe charge API calls were made only after client approval events were recorded in the database; - Integrated third-party legal CRMs including Clio, RocketMatter, Action Step, and Practice Panther via API for data import; - Implemented token-based authorization and Redis-backed session management; - Implemented SNS/SQS notification infrastructure; - Contributed to database architecture design and full-stack feature delivery;

Vehicle Auction Platform

About the Project

Real-time auction platform handling transparent price discovery and secure transaction settlement across concurrent bidding sessions.

• Automotive

Responsibilities

- Built a WebSocket-based real-time bidding engine with live countdown timers, instant bid updates, and push notifications; - Integrated a third-party payment provider with escrow settlement infrastructure for transaction integrity across vehicle trades; - Built a fraud prevention layer with validation logic and data integrity checks at bidding and transaction level; - Designed a VIN Explorer Module for per-vehicle lookup, auction event binding, and historical transaction reference; - Deployed scalable AWS infrastructure with horizontal scaling and load balancing; - Implemented real-time observability for auction platform operations;