Backend software engineer. I build distributed services, APIs, and data pipelines, and increasingly the applied AI systems that run on top of them.
MS Computer Science, Rochester Institute of Technology. Three years shipping production backends before that: Excellus BlueCross BlueShield (C#, ASP.NET Core, Azure, cut CI/CD deploy time 35%) and Vodafone Intelligent Solutions (Java, Spring Boot microservices, auto-triaged ~5,000 ITSM tickets a month).
- Backend first. Event-driven architecture on Kafka, CQRS, Postgres schema and migrations, REST API design, Docker and Kubernetes
- Applied AI second, and grounded in the same discipline. RAG retrieval pipelines, agent orchestration, and LLM evaluation treated as engineering problems with tests, traces, and CI gates rather than prompt tinkering
- Open to new grad and early-career SWE roles, backend or applied AI. F-1 OPT, seeking H-1B sponsorship
- Writing about what I build, weekly, on LinkedIn
| Software Engineer, Excellus BlueCross BlueShield | C# / ASP.NET Core / Azure Functions / Cosmos DB / Angular. Reduced CI/CD deployment time 35% and broken builds ~30% |
| Software Engineer, Vodafone Intelligent Solutions | Java / Spring Boot microservices. Automated ITSM triage for ~5,000 tickets per month, saving ~7 engineer-hours weekly |
| Research Assistant, RIT | Proteomics mass-spectrometry pipelines. Debugged C++ search engines (Comet, X!Tandem) on SLURM HPC |
| Project | What it demonstrates |
|---|---|
| DocStream | Distributed systems. Event-driven document pipeline on Kafka. CQRS write/read split, transactional outbox, idempotent consumers, retry + DLQ, Helm on Kubernetes, Prometheus/Grafana, testcontainers integration suite, CI asserting zero pod restarts |
| ClinRAG | Production API design + applied AI. FastAPI RAG service over FDA/ICH documents. Qdrant, HyDE, hybrid BM25 + dense retrieval with RRF, Cohere reranking, LangSmith tracing, Ragas eval gate in CI at 0.88 faithfulness |
| TriageAI | Systems thinking applied to agents. Multi-agent clinical triage on LangGraph + MCP + ChromaDB. 640-run eval suite, 100% emergency recall, 84% false-positive reduction across 189 adversarial cases, 0% tool-call errors |
| cloud-native-aws-application | Cloud infrastructure. Serverless app on Lambda, API Gateway, DynamoDB, Cognito. Terraform + GitHub Actions, 99.9% availability |
Languages
Backend & Distributed Systems
Cloud, Infra & Observability
Applied AI
Certifications
Open to new grad and early-career backend / applied AI engineering roles. Email · LinkedIn · Portfolio