I build AI agent workflows
and the evals that prove they work.
6+ years at Dell Technologies and TCS · M.S. Software Engineering, SJSU· via Accenture
Five public systems — agent evaluation, AI code review, multi-tenant SaaS, a Go time-series DB, and adversarial ML research.
6 years
industry experience
Dell · TCS
10M+
Dell PCs
SupportAssist platform
2M+
active devices
services I owned · SupportAssist
98
eval fixtures
Sentinel · CI regression gate
Projects
Side builds worth a look
Commit history
Graduate research in agentic AI systems: planner-executor agents with typed tool registries, evaluated on tool-call accuracy, schema adherence, and error recovery. Coursework in distributed systems, ML/NLP, and adversarial robustness. Built Archon, Sentinel, Kairos, Helios, and NeuroLens.
Embedded in the Dell SupportAssist product engineering team. C#/.NET microservices for Dell's preinstalled PC health platform: hardware diagnostics and scan orchestration, catalog-driven BIOS/driver/firmware update delivery with signature and hash verification, telemetry-driven predictive failure detection for batteries and storage drives, and the in-app AI Virtual Assistant experience with device-context injection and assistant-triggered actions. Re-architected long-running scan status from client polling to WebSocket push with resumable progress state.
Java Spring Boot microservices for an enterprise AI retail optimization platform: constraint-based space optimization across 1,400+ stores and 1,000+ parameters, distributed search with Redis caching sustaining sub-200ms P95 across 2M+ SKU records, multi-tenant OAuth2 SSO with tenant-scoped claims across product modules, and virtualized dashboard rendering for 100K+ SKU tables (~800ms to ~120ms).
Open to SWE & AI engineering roles
M.S. Software Engineering, SJSU — graduated May 2026. On STEM OPT. Bay Area or remote. Prefer email — I reply within a day.