Backend and Languages
Python (Django, FastAPI) Go JavaScript / Node.js C++ gRPC, REST, async APIs
open to opportunities
Backend systems at scale.
> Senior backend engineer — shipping AI in production.
Backend systems at scale.
AI features that ship.
Senior backend engineer, 7+ years at Cafebazaar (51M users) and Divar (30M). For the last year I've been shipping production AI for B2B SaaS: RAG, agent platforms, the caching-and-fallbacks work that decides if an LLM feature holds up in front of a real customer. I do my best work on systems that have to keep running at 3 AM, and I have strong opinions about observability.
production metrics
users reached 51M+ p99 latency 25ms events/sec 50K/s ad revenue 10×
Career
7+ Years of Building at Scale
From startup foundations to 51M-user platforms
AI & Backend Engineer (Contract)
Independent
Independent engagements building production AI for B2B SaaS clients — RAG, agent platforms, multi-tenant retrieval. The caching-and-fallbacks work that decides whether an LLM feature holds up in front of a real customer.
RAG Embeddings Vector Stores Pinecone Elasticsearch
Technical Team Lead
Cafebazaar
Tech lead for the ad platform at Cafebazaar (Iran's largest Android store, 51M users). Owned a 10+ engineer team through a live microservices migration and the systems work that grew ad revenue 10× over two years.
Python Go Kafka Redis Kubernetes
Senior Software Engineer
Cafebazaar
Shipped 15+ high-reliability backend APIs at 51M-user scale, decomposed the legacy payment monolith into independently deployable services, and cut data loss on the stats aggregation service from ~15% to under 1%.
Python Django FastAPI PostgreSQL Redis
Technical Expertise
What I Bring to the Table
AI in Production
RAG over PDF, DOCX, plain text Embeddings and vector stores (Pinecone, Elasticsearch) Citation-anchored retrieval Agent design under predictability constraints LLM API integration (OpenAI, Anthropic, open-source) AI-assisted SDLC (Claude Code, evals, agentic dev loops)
Cloud and Infrastructure
Docker, Kubernetes GCP, AWS CI/CD pipelines Linux / shell
Data and Messaging
PostgreSQL Redis (caching, pub/sub, dedup) Apache Kafka RabbitMQ MongoDB
Observability
Grafana, Prometheus Sentry Distributed tracing Custom telemetry tooling
Engineering Practices
Microservices and service boundaries System design at scale Code review and mentorship Agile / Scrum leadership Unit and integration testing
Also available
Consulting for backend architecture and AI integration
Outside of full-time roles, I take on a small number of engagements with teams who need a senior pair of eyes — usually 1–4 weeks of focused work with written deliverables.
Hiring? Let's talk.
Email is the fastest path — skim the resume first if you want context.