execution-engine
<100msUltra-low-latency algorithmic execution with advanced order types — smart post orders repricing against a live book, spread and pair orders — all driven off real-time Level 2 depth-of-book feeds.
Python · Rust · asyncio
[ROLE] Senior Backend / Full-Stack Engineer
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10+ years shipping distributed systems that have to be fast and cannot be wrong — sub-100 ms execution algos, sub-1 ms risk gates, event-driven platforms at 1M+ MAU. Java · Python · Rust.
CoinRoutes.com (opens in a new tab) · Dubai, UAE
[STCK]Python · Rust · asyncio · gRPC · Protobuf · Celery · Redis · Grafana
Katim LLC (opens in a new tab) · Abu Dhabi, UAE
[STCK]Java · Spring Boot · WebFlux · Kafka · Keycloak · React · K8s · ArgoCD
Dubizzle (opens in a new tab) · Dubai, UAE
[STCK]Python · Django · Celery · Algolia · Grafana
Ultra-low-latency algorithmic execution with advanced order types — smart post orders repricing against a live book, spread and pair orders — all driven off real-time Level 2 depth-of-book feeds.
Python · Rust · asyncio
Real-time pre-trade risk evaluating and restricting orders in under a millisecond across configurable parameters, inline on the order path.
Python · Redis
High-availability market data holding L2 book connections to tier-1 CEXs, DEXs and liquidity providers.
asyncio · gRPC · Grafana
Keycloak/AD-backed SSO, RBAC, Kafka-decoupled policy engine, React front-end wired across five microservices on Kubernetes.
Java · Spring · Kafka · K8s
Hourly profit/loss per trading account across all activity, with Celery driving scheduled and asynchronous processing.
Python · Celery
Feed, list and detail APIs for a property marketplace vertical, with metadata-driven regeneration keeping listings fresh.
Django · Celery · Algolia
> Senior Backend Engineer — low-latency systems & crypto trading specialist.
I build the parts of a system where latency is a product feature and correctness is non-negotiable. Ten years in, that has meant matching engines and execution algorithms, pre-trade risk gates measured in microseconds, market-data pipes that cannot drop, and the event-driven backends underneath them.
The path ran through enterprise Java at Wipro, regulated money movement and AML at Al Ansari Exchange, crypto derivatives at Hoo, marketplace scale at Dubizzle, secure identity infrastructure at Katim, and now quantitative execution at CoinRoutes. Different domains, one habit: understand the constraint, then design to it.
Lately a lot of that work is AI-assisted — using coding agents to move performance-critical Python into Rust, to generate tests, and to keep review tight without slowing delivery.
[EDU] B.E. Electronics & Communication Engineering — National Institute of Technology Karnataka, Surathkal · 2016
Java · Python · Rust · JavaScript · SQL
Spring Boot · WebFlux · Hibernate · Django · FastAPI · asyncio · Celery
Kafka · RabbitMQ · gRPC · Protobuf · WebSocket
PostgreSQL · MySQL · MongoDB · Redis · Elasticsearch
Docker · Kubernetes · Helm · ArgoCD · nginx · CI/CD
AWS · GCP · Azure
Grafana · PagerDuty · Sentry
Microservices · Event-Driven · System Design · DB Optimization · TDD
> Open to senior backend, quant-dev and platform roles — and to interesting latency problems.