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MUHAMMAD KHUSHAL KHAN
Mid-level Quantitative Developer specializing in low-latency trading systems
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About
Backend/ML engineer with deep fintech and marketplace experience: built a real-time financial analytics + algorithmic trading platform (Python/Postgres/Kafka/Redis) and drove major DB performance wins (10x faster analytics; sub-10ms response consistency). Also shipped an end-to-end ML recruitment matching platform (scraping/ETL/modeling/Django deployment) with reported 92% matching accuracy, and emphasizes production reliability via monitoring, blue-green deploys, and robust workflow error handling.
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Key Strengths
- Debugged and eliminated major PostgreSQL bottlenecks using EXPLAIN ANALYZE, indexing, and materialized views (70% faster; 10x analytical speedup; sub-10ms response consistency)
- Built production backend for real-time financial analytics/trading (Python/PostgreSQL/Kafka/Redis) including live ingestion and risk calculations
- Designed reliable multi-step automated trading execution workflow with planning vs execution separation, verification loops, and retry/stop/escalation logic
- Implemented exchange API normalization via adapter pattern across REST/WebSocket protocols and differing schemas/rate limits
- Shipped end-to-end ML matching feature (scrapers + ETL + model + Django integration + Docker/GitHub Actions deployment) with reported 92% matching accuracy
- Strong production operations: monitoring/alerting (CloudWatch), blue-green deploy rollbacks, and CI/CD guardrails to prevent downtime
- Designed complex multi-tenant relational schema (50+ tables) with constraints/triggers and tenant isolation via PostgreSQL RLS
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