Software Engineer with 5+ years of experience designing and engineering high-throughput, low-latency distributed systems using polyglot microservices (Go, C#, Python) and cloud-native Kubernetes platforms. Skilled at decomposing legacy monoliths into scalable, multi-tenant architectures and modernizing enterprise systems for demanding real-time workloads, with a focus on reliability, performance, and scalability.
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Briefing
Opened in layers. The first is enough to decide whether to keep reading.
Practising
5 years
Current focus
Designing and engineering high-throughput, low-latency distributed systems using polyglot microservices (Go, C#, Python) and cloud-native Kubernetes platforms, with a focus on reliability, performance, and scalability.
Domains
Distributed Systems Architecture · Cloud & Container Platforms (Kubernetes / EKS) · Computer Vision & Deep Learning Pipelines · Enterprise Security & IAM (SAML 2.0 / OIDC) · High-Frequency Fintech Trading Systems · Logistics, Track & Trace
Based
Karachi, Pakistan
Resilient systems prioritize clear service boundaries, predictable failure modes, end-to-end telemetry, and rigorous security boundaries.
Solutions Architecture, .NET Core, Go, Python, Kubernetes EKS, SAML 2.0 / OIDC, and multi-tenant AI tracking pipelines.
Technical leadership across multi-tenant SaaS, cross-functional squads, microservice standardization, and modern cloud migrations.
Enterprise SaaS · Computer Vision & AI · Securities & Fintech · Retail AI Auditing
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AI app market orchestration platform engineered from scratch as Technical Lead, reusing a single distributed computer vision pipeline to power surveillance domains (PPE compliance, footfall analytics, employee monitoring, restaurant monitoring, planogram compliance, quality inspection) with natural text search, connected evidence graphs, and runtime Kubernetes plugin deployment.
Honored as Best Track Lead - QBs co (2024–2025) at QBS Co. 'For Leading With Clarity And Purpose' across distributed systems architecture, microservices modernization, and cloud engineering.