Software Engineer II, Full-stack
Builds AI-assisted education workflows and the distributed services behind grading, mentorship, and student support.
Reduced grading turnaround from 6 days to 2 hours at 93% accuracy across 5,000 students.
Full-stack AI engineer
I design agent workflows, product interfaces, distributed services, and cloud infrastructure that survive production.
How I work
Useful AI needs product judgment, grounded retrieval, evaluation, resilient workflows, and infrastructure that can be operated after launch.
I work across that entire surface: from understanding a user's workflow and shaping the interface to designing asynchronous services, observability, deployment, and failure recovery.
Selected builds
Independent projects exploring agent runtimes, retrieval, guardrails, and human-facing control surfaces.
Configurable agents, visual workflow templates, tool execution, runtime event mirroring, message history, and token-cost tracking.
View projectSchema-aware SQL generation with intent classification, parsing, validation, caching, repair attempts, and automated tests.
View projectProduction retrieval, memory, document grounding, and tool execution for contextual enterprise AI responses.
View projectControlled computer-use workflows that execute system tasks through containerized environments and explicit tool orchestration.
View projectA compact agent runtime for tool execution, multi-step reasoning, persistent memory, and external integrations.
View projectExperience
Remote product engineering across education, enterprise AI, payments, analytics, healthcare, and consumer platforms.
Builds AI-assisted education workflows and the distributed services behind grading, mentorship, and student support.
Reduced grading turnaround from 6 days to 2 hours at 93% accuracy across 5,000 students.
Delivered an enterprise agentic RAG platform spanning ingestion, hybrid retrieval, reranking, NL-to-SQL, NL-to-API, and evaluation.
Added RAGAS evaluation, PII filtering, prompt safety, output validation, and source-level traceability.
Reworked high-volume gift and payment services using event-driven communication, Saga patterns, caching, and fault isolation.
Supported more than 1 million API requests per day while reducing cascading failure risk.
Built Go and Python services, high-throughput event ingestion, external APIs, webhooks, and AWS processing pipelines.
Served 6,000+ daily users and more than 200,000 API requests per day.
Built healthcare APIs, clinical reporting services, mobile functionality, and the platform migration to Kubernetes on AWS.
Created a Kubernetes operator for PostgreSQL provisioning, failover, and lifecycle management across 10+ hospitals.
Shipped end-to-end features across backend APIs, Angular, React Native, WebRTC, and Twilio for web and mobile products.
Supported roughly 30,000 daily active users and 80 to 100 audio or video calls per day.
Technical range
Build the difficult part
I am interested in senior full-stack AI, backend platform, and product engineering roles where system ownership matters.