Technical Skills & Competencies — Andi Muchlas Ramadani

Full-Stack Software Engineering, Geospatial Routing Engines, Distributed Systems, and Real-Time Runtimes

TypeScript & JavaScript (90%): Node.js, Bun, Hono.js, Drizzle ORM, REST APIs, WebSocket streaming.
React & Next.js (88%): Next.js 14/16 App Router, Tailwind CSS, SSR/SSG caching, Vitest unit testing.
Three.js & Leaflet (85%): Interactive map viewports, real-time spatial previews, React Three Fiber, GSAP camera choreographies.
Go & C# (86%): Microservices, graph routing engines, goroutines, pprof profiling, Unity simulation logic, LiDAR telemetry.

PostgreSQL & PostGIS (88%): Spatial SQL, polygon calculations, GiST spatial indexing, stored procedures.
Uber H3 & OSRM (85%): Hexagonal discrete grid indexing, O(1) proximity matching, Multi-Level Dijkstra routing.
Redis & NATS (85%): High-throughput event streams, pub/sub messaging, task queues, distributed caching.
gRPC & Hono.js (84%): Low-latency RPC with Protobuf serialization, minimal routing overhead.

Unity (C#) (88%): System architecture, interactive physics, Cinemachine, decoupled OOP components.
LiDAR Sensor IoT (84%): Hardware serial/socket telemetry ingestion, real-time touch detection calibration at 60 FPS.
WebSocket Streaming (86%): Bidirectional low-latency state and audio streaming pipelines.
Oculus LipSync (82%): Audio-driven phoneme mapping, blendshape facial animation.

Docker & Kubernetes (84%): Multi-stage container builds, deployment manifests, service routing.
AWS & Vercel (82%): S3 presigned uploads, IAM, Edge deployments, serverless functions.
Vitest & Code Reliability (85%): Automated testing, financial calculation isolation, zero-DOM unit tests.
Scrapy ETL (86%): Automated web and spatial data extraction scaling to ~2.8M POIs.

LLM Orchestration & Tool-Calling (85%): Function calling, structured JSON output validation, fallback state machines.
n8n Workflow Automation (86%): Event-driven workflows, webhook triggers, multi-service automation pipelines.
Transformers & DistilBERT (82%): Fine-tuning semantic classification models across multi-dimensional intent spaces.

English (85%): Professional working proficiency, technical documentation, international team collaboration.
Indonesian (100%): Native proficiency.
Rapid MVP Prototyping (88%): End-to-end MVP delivery across frontend, APIs, and database persistence.
Figma UI Design (80%): Basic UI/UX design principles, responsive layouts, design handoff.