๐ Hey, Iโm Diva Dugar
Iโm 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
๐งญ 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
โ๏ธ Writing
I write about backend engineering, system design, and lessons learned from building real systems- focusing on practical trade-offs rather than theory.
๐งฐ 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
๐ Currently Reading
Tracking what Iโm reading now and whatโs next:
If thereโs a book you think I should read, email me.