About me
Building systems, climbing walls.
I'm Khalisa Amanda Sifa Ghaizani, a Computer Science student at BINUS University and a software engineer who likes working close to the infrastructure.
At ioNext I worked on an LLM inference gateway (Envoy AI Gateway, KServe, vLLM), built backend services in Go with PostgreSQL, Redis, and Kafka on Kubernetes, and led observability pipelines with OpenTelemetry, Grafana, and VictoriaMetrics.
Lately I've been researching how to schedule concurrent LLM requests more fairly and efficiently, using priority, estimated utility, and output length.
Quick facts
The short version
- Based in
- Tangerang Selatan, Indonesia
- Studying
- B.Sc. Computer Science · GPA 3.64, BINUS University (2024 – 2028)
- Focus
- Backend & cloud-native systems, LLM inference infrastructure, observability
- Main languages
- Go, Python, TypeScript
- Outside of code
- Rock climbing
Off the keyboard
Why I climb
Climbing is my favourite way to switch off from screens. A hard route is a lot like a hard bug: you read it, try something, fall, adjust, and try again until it goes.
It taught me patience, breaking big problems into small moves, and trusting the people holding the rope. All of that shows up in how I work on a team.
Toolbox
Skills
- Languages
- GoPythonTypeScriptJavaScriptC++SQL
- Backend
- PostgreSQLRedisKafkaSpiceDB
- Cloud & Infra
- KubernetesHelmOpenStackKServevLLMEnvoyTerraformAnsible
- Observability
- OpenTelemetryPrometheusGrafanaVictoriaMetrics
- Frontend
- Next.jsReactTailwind CSS
- Tools
- GitDockerLinux
Recognition
Achievements
- 2025First Runner-Up, Asia Pacific ICT Awards (Taiwan)APICTA
- 2025Top 5 Finalist, Innovation CompetitionArizona State University
- 20231st Runner-Up, Novice Category Open Debate CompetitionEEC UNILA