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Education

San Jose State UniversityAug 2024 — May 2026
MS Software Engineering · CGPA: 3.8/4.0Distributed Systems, ML/NLP, Adversarial Machine Learning, Database Systems

Experience

Accenture— Dell SupportAssist
Aug 2021 — Jul 2024
Software Engineer
  • ▸Built real-time diagnostic platform serving 2M+ Dell devices using Angular 14, C# .NET, and WebSocket
  • ▸Reduced diagnostic resolution time by 35% via parallel diagnostic execution pipeline and smart caching
  • ▸Cut bundle size 40% via lazy loading, tree-shaking, and module federation across micro-frontends
  • ▸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
AngularC# .NETWebSocketAzure DevOpsPostgreSQL
TCS— Optumera
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

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

Spring Boot + Next.js SaaS with Postgres RLS, idempotent APIs (Stripe-style key), Redis sliding-window rate limits, and SSE progress dashboards.

Spring BootPostgres RLSRedis
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

From-scratch PyTorch models (no torchvision pretrained), FGSM/PGD attacks implemented from original papers, defenses, and a multimodal-to-unimodal attack-transfer experiment.

PyTorchCLIP-lite

Skills

LanguagesTypeScript, Go, Python, Java, C#, SQL
FrontendReact, Next.js, Angular, Tailwind CSS
BackendSpring Boot, FastAPI, gRPC, Node.js
Data / InfraPostgreSQL, Redis, Docker, GitHub Actions
AI / MLPyTorch, LLM/RAG, pgvector, W&B
ConceptsDistributed systems, Postgres Row Level Security, LSM-tree, Raft consensus