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Education

San Jose State UniversityAug 2024 — May 2026
MS Software Engineering · CGPA: 3.57/4.0Distributed Systems, ML/NLP, Adversarial Machine Learning, Database Systems

Experience

Dell Technologies— SupportAssistvia Accenture
Aug 2021 — Jul 2024
Senior Software Engineer
  • ▸Built C#/.NET microservices for Dell SupportAssist — diagnostics, driver/BIOS update delivery with signature verification, and telemetry for a platform with 10M+ installs (my services processing 2M+ active devices)
  • ▸Re-architected scan status from polling to WebSocket push, cutting steady-state load ~60%
  • ▸Built the in-app AI Virtual Assistant experience with device-context injection and assistant-triggered actions
  • ▸Owned full SDLC for 4 major features: technical design → dev → QA → production rollout
  • ▸Mentored 3 junior engineers; introduced PR review standards and component documentation practices
C# .NETWebSocketAzure DevOpsPostgreSQL
TCS
Jun 2018 — Aug 2021
Software Engineer
  • ▸Developed enterprise retail analytics SaaS for Fortune 500 clients using Angular 9 and Spring Boot
  • ▸Implemented virtual scrolling for 100K+ SKU inventory tables; reduced response time from 800ms to 120ms
  • ▸Built Redis-backed caching layer for frequently accessed analytics dashboards (80% cache hit rate)
  • ▸Integrated Spring Batch for nightly ETL pipelines processing 50M+ retail transactions
  • ▸Delivered REST APIs for client-facing analytics endpoints used by 3 enterprise retailers
AngularSpring BootRedisPostgreSQLSpring Batch

Projects

Archon

Autonomous agent in Python — planner/executor/reflector with a typed middleware chain (schema validation, retries, tracing on every tool call) and a statistical evaluation harness: seeded runs, per-step traces, and a failure-mode taxonomy.

PythonAgentsEval
Sentinel

GitHub App that reviews PRs via BM25 + dense (pgvector) retrieval, cost guardrails, and a 98-fixture eval harness — per-category P/R/F1, regression-gated in CI.

FastAPIpgvectorBM25
Kairos

Multi-tenant OKR tracker that enforces tenant isolation in PostgreSQL with Row-Level Security, not in application code.

Spring Boot 3.3PostgreSQL 16Redis 7
Helios

WAL + LSM storage, Gorilla compression, label-postings filtering, a PromQL subset, streaming EWMA anomaly detection, and optional 3-node Raft replication.

GoLSM-treeGorilla
NeuroLens

MVP adversarial-ML research: from-scratch PyTorch models (no torchvision pretrained), FGSM and PGD attacks implemented from the original papers, defenses, and a multimodal-to-unimodal attack-transfer experiment.

PyTorchCLIP-lite

Skills

AI / AgentsAgent orchestration & tool calling, LLM evaluation (golden sets, regression gating), RAG (hybrid retrieval), PyTorch, W&B
LanguagesPython, TypeScript, C#, Java, Go, SQL
BackendFastAPI, C# /.NET, Spring Boot, Node.js, gRPC
FrontendReact, Next.js, Angular, Tailwind CSS
Data / InfraPostgreSQL, pgvector, Redis, Docker, GitHub Actions
ConceptsDistributed systems, Postgres Row Level Security, LSM-tree, Raft consensus