Senior Backend Engineer · Python · Distributed Systems · AI
10+ years building scalable Python systems, distributed architectures, and AI-powered applications. Open to global remote opportunities.
Led architecture and scaling of a suite of Python microservices at enterprise scale, setting engineering standards adopted across five teams and owning the full backend quality bar — from API design through observability.
Drove data governance programmes for 5+ Fortune 500 clients across finance, healthcare, and retail — building high-throughput Kafka pipelines, reusable backend frameworks, and automation tooling that compressed audit cycles from days to hours.
Designed multi-cloud security and risk-monitoring systems for enterprise clients, building a centralised risk orchestration platform that automated cloud security workflows and cut manual effort significantly.
Architected a government-scale platform from the ground up — serving tens of thousands of users, handling millions of monthly transactions, and integrating biometric authentication that dramatically reduced fraud.
Progressed through engineering roles at Eyebridge Soft Solutions, Credence Digital Marketing, Buzzworks Business Services, and Nityo Infotech — building SaaS, CRM, and e-commerce platforms that served up to 10,000+ users.
A RAG (Retrieval-Augmented Generation) document chat system built to deeply understand latency and relevance trade-offs in semantic search. Features a FastAPI backend, ChromaDB vector store, OpenAI embeddings, custom chunking pipeline, Redis caching, rate limiting, and secure API-key handling — all built to production-quality standards.
A queue-based distributed background job processing system with worker orchestration, configurable retry strategies, and priority queues. Async pipelines designed for high-throughput workloads; benchmarked against Celery for throughput and reliability.
Senior backend engineering roles, distributed systems architecture, AI/RAG integration, or consulting engagements — happy to chat.