Software Engineer architecting distributed systems, cloud-native infrastructure, and high-throughput IoT backends
Kamini Kotekar
0
Years of
experience
0
Technologies
in stack
Building Distributed
Scalable
Resilient Systems
I build software that operates at the edges of what is easy, from firmware-level device protocols to cloud orchestration layers handling millions of events. My work spans constrained embedded hardware, unreliable networks, and high-throughput production systems where failure is not an option.
Industry Experience
Event-Driven Device Communication System
Designed and delivered a production-grade, event-driven device communication platform for a large-scale IoT deployment in the Australian telecommunications sector. Built a resilient pub/sub messaging layer on MQTT with integrated SNMP for device health monitoring and real-time telemetry ingestion.
Engineered for hostile network conditions, retry strategies, adaptive buffering, and backpressure control kept the system stable under packet loss and intermittent connectivity. Services were stateless and horizontally scalable, with structured topic hierarchies and deterministic routing patterns. The result: a fault-tolerant platform with full observability and consistent throughput under load.
Embedded Edge Backend System
Engineered a purpose-built, lightweight backend and web server framework for embedded platforms, targeting hardware constraints where every kilobyte of memory and every millisecond of startup latency matters. Delivered for a telecommunications client operating at the network edge.
Minimized runtime dependencies and memory footprint while maintaining production-grade request handling and state management. Designed a modular component system enabling selective feature inclusion and flexible per-device deployment profiles. The system operates stably under strict compute and storage budgets with zero performance compromise.
Cloud-Native Microservices Platform
Architected a production microservices platform from the ground up, decomposing a monolithic system into loosely coupled, independently deployable services with well-defined API contracts. Each service owned its data, its lifecycle, and its scaling policy.
Implemented dynamic routing via an API gateway, middleware orchestration for cross-cutting concerns, and fully containerized workloads managed by Kubernetes. Standardized all deployments through Terraform IaC, reducing environment drift to zero. Delivered measurable improvements in release velocity, system resilience, and on-call toil reduction across the distributed platform.
My
education
Master of Data Science
Specialized in distributed systems, large-scale data processing pipelines, and cloud architecture patterns. Research focused on real-time stream analytics and building observable, fault-tolerant systems designed for production from day one.
Bachelor of Computer Engineering
Built a deep foundation in algorithms, systems programming, network architecture, and distributed communication, the fundamentals that inform every production engineering decision I make today.
AWS
Kubernetes
Docker
Terraform
Python
Golang
Node.js
C
