hiop
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Built hiop's core distributed data processing platform from zero, powering thousands of data pipelines per day:
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Designed and implemented a resilient event-driven architecture supporting high-volume, low-latency data ingestion using gRPC, advanced concurrency models and distributed processing
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Reduced query engine latency by 50% by rewriting hot-path components in Rust
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Built a state-of-the-art access layer based on OAuth2 authentication and RBAC, plus a zero-trust architecture with a distributed proxy layer and fine-grained, service-level authorization
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Added full Language Server Protocol (LSP) support, improving developer experience and enabling richer ecosystem tooling
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Automated the user onboarding and resource provisioning lifecycle, eliminating ~80% of manual operations
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Operated distributed systems on AWS ECS and managed Kubernetes through on-call rotations, incident reviews and capacity planning under SLA
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Architected end-to-end CI/CD automation across 100+ services, compressing release cycles from days to minutes and enabling continuous delivery
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Mentored 15+ engineers and helped define the hiring bar and agile processes as the org scaled from 5 to 15+
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Co-created the framework and infrastructure for real-time ML/DL applications, enabling low-latency inference and robust production deployments
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Developed and maintained 20+ core libraries powering the company's internal toolchain, establishing shared abstractions, coding standards, and scalable development practice
