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BabySuga/README.md

Hi there! πŸ‘‹ I'm Lintang Aji Delamansyah

Software Engineer β€’ AI Software Engineer β€’ Frontend Engineer

Current Focus: AI Terminal Workspace (aiw) Β· Local LLM Streaming Benchmarks & ROCm Telemetry Β· Root Cause Analysis Archive (engineering-rca)


πŸ‘¨πŸ»β€πŸ’» About Me

I'm a Software Engineer who believes that great software is built through continuous learning, thoughtful engineering, and genuine curiosity. I enjoy transforming complex ideas into scalable, maintainable, and user-focused solutionsβ€”from local AI workspaces and hardware telemetry to enterprise dashboards and root cause analysis. Every project is an opportunity to grow, refine my craft, and create technology that delivers meaningful impact.


⭐ Featured Projects

πŸ–₯️ AI Terminal Workspace πŸ“Š Mona Dashboard
Command-line workspace for local LLM streaming benchmarking, hardware telemetry monitoring (AMD ROCm / GPU), and environment diagnostics.

πŸ”— Repository β€’ Latest Release v0.1.1

Shell Python Linux Ollama
Enterprise monitoring dashboard for real-time device telemetry integrated with AI recommendation engine and conversational navigation.

πŸ”— Showcase β€’ Web Interface

React Python TypeScript FastAPI

πŸ”₯ More Projects

πŸ” Engineering RCA Archive

Documents real-world Root Cause Analysis (RCA) investigations and incident post-mortems across software systems. Provides structured technical reports detailing incident triggers, root causes, and verification steps.

πŸ€– Chatbot Builder Platform

Simplifies complex conversational bot creation through a visual flow management interface. Integrates intent classification, entity extraction, and knowledge base routing for automated support.

🌀️ Jakarta Forecast

Provides real-time environmental monitoring and meteorological data visualization for the Jakarta region. Consumes FastAPI backend endpoints to render interactive weather metrics on a Vite web interface.

πŸ“¦ Frontend Monorepo

Standardizes UI components and utility libraries across multi-project frontend applications. Utilizes npm workspaces and Storybook for isolated component development and versioned distribution.

πŸ“± Gapensi Media

Automates identity verification and member onboarding for organization workflows. Extracts text from identity cards using FastAPI OCR processing and syncs data to Firebase.

πŸ—ΊοΈ Google Map Review Scrapper

Extracts customer feedback from Google Maps locations for sentiment analysis. Orchestrates Apify scraping tasks and presents processed review data through a Streamlit dashboard.

🀟 Konektra

Assists communication for speech-impaired individuals by translating sign language gestures in real time. Classifies video frames using a TensorFlow gesture recognition model.

πŸ€– Predictive Mona Widget

Embeds real-time chat functionality into web applications to capture interaction metrics. Logs user telemetry and events to Jupyter analytics pipelines for behavioral analysis.

πŸ’Œ Digital Invitation starter

Provides a configurable web interface for event RSVP tracking and guest management. Built with Next.js 15 and Tailwind CSS v4 for responsive rendering.


πŸ† Experience Highlights

⚑ Local LLM Telemetry & Benchmarking

ROCm GPU telemetry, streaming throughput profiling (tokens/sec, TTFT) & model state diagnostics (`ai-terminal-workspace`).

πŸ”— ai-terminal-workspace
πŸ” Root Cause Analysis & Post-Mortems

Structured RCA reporting, gateway streaming rejection triage (NDJSON vs SSE) & system diagnostics (`engineering-rca`).

πŸ”— engineering-rca
🏒 Enterprise Monitoring

Real-time device monitoring, AI recommendation engine & chatbot navigation (`mona-dashboard`).

πŸ”— ui-mona-web
πŸ€– AI Chatbot Platform

Intent design, entity extraction, NLU engine & visual conversation flow builder (`chatbot-builder-frontend`).

πŸ”— chatbot-builder-frontend
πŸ“¦ Frontend Platform & Monorepo

React, Next.js, Vue, TypeScript, storybook & workspace monorepo architecture (`frontend-monorepo`).

πŸ”— frontend-monorepo
⚑ Backend & REST APIs

FastAPI service implementation, Redis caching, OTP & JWT authentication workflows.

πŸ”— chatbot-engine-backend β€’ chatbot-engine-nlu β€’ ui-mona-web
🐳 CI/CD & CLI Tooling

Docker containerization, Jenkins pipelines & automated terminal CLI environments (`aiw`).

πŸ”— ai-terminal-workspace
☁️ Cloud Infrastructure

GCP resources, Terraform IaC configurations & Cloud IAM access controls.

🧠 Engineering Interests

  • AI Software Engineering
  • Local LLM Benchmarking & Telemetry
  • Root Cause Analysis (RCA) & System Diagnostics
  • Model Context Protocol (MCP) & AI Agent Integration
  • Frontend Platform Engineering
  • Dashboard Architecture
  • System Design
  • Cloud Native Development
  • RAG & Vector Search Pipelines

πŸ’» Workstation & AI Engineering Laboratory

"My workstation functions as a local AI engineering laboratory for profiling quantized model inference, ROCm GPU telemetry, Model Context Protocol (MCP) workflows, and diagnostic tooling before cloud deployment."

Hardware Specifications

  • CPU: AMD Ryzen 5 5600G (6 Cores / 12 Threads)
  • GPU: PowerColor Radeon RX 6700 XT 12GB / RX 9060 XT 16GB
  • RAM: 16GB DDR4 3200MHz Dual Channel
  • Storage: 500GB NVMe SSD
  • Motherboard: ASRock B550M-HDV
  • PSU: PCCOOLER KG550W Bronze

AI Engineering Focus

  • Local LLM Execution: Streaming performance profiling (tokens/sec, TTFT, warm vs cold state) via Ollama & ROCm
  • System Diagnostics & RCA: Investigating API gateway response streaming behaviors and proxy protocol bounds
  • Model Context Protocol (MCP): Integrating MCP servers and CLI client tools for tool invocation workflows
  • RAG Architecture: Evaluating dense retrieval pipelines and NDJSON/SSE streaming protocol translation

Current Learning Roadmap

  • Phase 1: Local LLM Benchmarking & ROCm Telemetry Optimization
  • Phase 2: System RCA Diagnostics & Gateway Streaming Protocol Triage
  • Phase 3: Model Context Protocol (MCP) Tooling & Workstation CLI Workspaces
  • Phase 4: Local Evaluation & Retrieval-Augmented Generation Guardrails

AI Development Environment




πŸ“Š GitHub Stats

Streak Stats


🐍 Contribution Snake

Snake animation


πŸ›  Tech Stack

Languages

Frontend

Backend

Database

Cloud & DevOps

AI / ML


πŸ“« Connect With Me


"My mama always said, 'Life was like a box of chocolates. You never know what you're gonna get.'"

β€” Forrest Gump (1994)

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  1. frontend-monorepo frontend-monorepo Public

    TypeScript