I'm Muhammad Thariq Darobi
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Informatics Engineering student at Institut Teknologi Sepuluh Nopember with hands-on experience building on-premise AI solutions. Proficient in Next.js and local LLM deployment (Ollama). Successfully engineered multimodal pipelines combining Computer Vision (OpenCV) and Audio AI (Whisper). Eager to solve real world problems with AI approaches solutions.
FEATURED PROJECT
Multimodal AI Content Pipeline
Multimodal AI Content Pipeline is a tool designed to automate the creation of vertical short-form content from raw video footage. It leverages AI models for vision, speech, and audio processing to analyze content, generate narration, and produce polished videos with hardcoded subtitles.
n8n LLM Email Inquiry Response
n8n workflow designed to automate email correspondence by acting as an intelligent bridge between Google Sheets, a local MySQL database, and local LLMs. It uses DeepSeek-r1:8b running via Ollama to draft personalized, context-aware replies based on a specific user persona (This is directly used in this website, at the Contact section)
Game Review APP
Game Review APP is a full-stack web application combining a high-performance Go (Gin) backend with a modern Next.js frontend. It serves as a comprehensive platform for checking games and user reviews, featuring secure authentication and robust data handling.
CERTIFICATIONS
Prompt Design in Vertex AI
Has completed the introductory Prompt Design in Vertex AI gaining skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI.
Automate Data Capture at Scale with Document AI
Has earned the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, I learned how to extract, process, and capture data using Document AI.
Build Real World AI Applications with Gemini and Imagen
Has completed the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Vertex AI platform.
Introduction to Generative AI
Completion badge of introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.
Introduction to Large Language Models
Completion badge of introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance.
Introduction to Responsible AI
Completion badge of introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI.
CONTACT
Interested in Working together? Send me a message!