๐Ÿ‘‹ Hey, Iโ€™m Diva Dugar

Iโ€™m a software engineer focused on building reliable, low-latency systems for AI workloads.

My work sits at the intersection of backend engineering and applied AI- designing APIs, optimizing inference pipelines, and building fault-tolerant, production-grade systems that handle real-world scale.

Interests: distributed systems, AI workloads (LLMs, RAG, agentic systems), and pragmatic system design


๐Ÿงญ Now

  • Deepening system fundamentals through hands-on projects (OS + networking + databases)
  • Writing about backend reliability and trade-offs- and everything in between
  • Learning Golang for systems programming

โœ๏ธ Writing

I write about backend engineering, system design, and lessons learned from building real systems- focusing on practical trade-offs rather than theory.


๐Ÿงฐ Tools I Use Frequently

Languages: Python, Golang
Backend: FastAPI, Django, Flask
Data & Queues: PostgreSQL, pgvector, Redis, Celery
Infra: Docker, NGINX, Gunicorn, GCP
Observability: OpenTelemetry, Prometheus, Grafana, Sentry
Delivery: GitLab CI/CD


๐Ÿ“š Currently Reading

Tracking what Iโ€™m reading now and whatโ€™s next:

If thereโ€™s a book you think I should read, email me.


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