Notable production outcomes across high-scale backend and AI systems.
Moved Cafebazaar's ad placement from a brittle monolith to a microservices platform without downtime. Architecture, pricing, ad-placement A/B testing, ML-model A/B testing, and graceful ML fallbacks all contributed — the headline outcome was 10× ad revenue sustained over two years.
stack · Microservices · Python · Go · Kafka
→ read case studyBuilt the document ingestion, embeddings pipeline, and citation-anchored RAG chatbot for an AI legal-tech startup. Multi-tenant across orgs, lawyers, and cases. Migrated the vector store from Pinecone to a self-hosted Elasticsearch cluster on GCP.
stack · RAG · Embeddings · Elasticsearch · Pinecone
→ read case studyCut p99 on the real-time ad estimation service from 700ms to 25ms — same endpoint, more traffic — through multi-tier caching, async refresh, request deduplication, batch inference, and graceful fallback when the model service was degraded.
stack · Machine Learning · Python · Redis · System Design
→ read case studyBuilt the event pipeline behind the ad platform — Kafka topics, Redis-tracked deduplication, batched DB writes. At-least-once delivery with idempotency keys gives effectively exactly-once at the application layer.
stack · Kafka · Redis · Python · Distributed Systems
→ read case studyDesigned and built the feature-flag and A/B testing service used across Divar's engineering teams — proposed to the CTO, approved, adopted org-wide, kept as standard.
stack · Python · Go · System Design · Backend
→ read case studyRule-based fraud scoring on the peer-to-peer payment platform — cut manual review workload by ~70% by auto-deciding the obvious cases and prioritising the rest.
stack · Python · Django · Fraud Detection · Payment Systems
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