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Hi, I’m Muhammad Dani, an AI Automation Engineer (Intern / Junior) with hands-on experience building GPT-powered workflows, real-time monitoring systems, and data pipelines to automate business processes. I translate business needs into scalable AI-driven automation and have deployed production-ready systems that deliver measurable impact. I enjoy collaborating across teams to optimize operations and drive growth through innovative automation solutions.…Hi, I’m Muhammad Dani, an AI Automation Engineer (Intern / Junior) with hands-on experience building GPT-powered workflows, real-time monitoring systems, and data pipelines to automate business processes. I translate business needs into scalable AI-driven automation and have deployed production-ready systems that deliver measurable impact. I enjoy collaborating across teams to optimize operations and drive growth through innovative automation solutions.

Muhammad Dani

Data Scientist, AI Engineer, AI Developer, +2

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Hi, I’m Muhammad Dani, an AI Automation Engineer (Intern / Junior) with hands-on experience building GPT-powered workflows, real-time monitoring systems, and data pipelines to automate business processes. I translate business needs into scalable AI-driven automation and have deployed production-ready systems that deliver measurable impact. I enjoy collaborating across teams to optimize operations and drive growth through innovative automation solutions.…Hi, I’m Muhammad Dani, an AI Automation Engineer (Intern / Junior) with hands-on experience building GPT-powered workflows, real-time monitoring systems, and data pipelines to automate business processes. I translate business needs into scalable AI-driven automation and have deployed production-ready systems that deliver measurable impact. I enjoy collaborating across teams to optimize operations and drive growth through innovative automation solutions.

Available to hire

Hi, I’m Muhammad Dani, an AI Automation Engineer (Intern / Junior) with hands-on experience building GPT-powered workflows, real-time monitoring systems, and data pipelines to automate business processes.
I translate business needs into scalable AI-driven automation and have deployed production-ready systems that deliver measurable impact. I enjoy collaborating across teams to optimize operations and drive growth through innovative automation solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Indonesian

Fluent

English

Advanced

Work Experience

Machine Monitoring System Developer - Intern at PT. CS2 Pola Sehat (OT Group)

March 1, 2025 - July 1, 2025

Built real-time industrial data pipelines using Node-RED, MQTT, and InfluxDB to ingest, process, and visualize machine energy data, supporting daily operational decisions by Plant Managers and department leads. Designed role-based access control and 24/7 system visibility, enabling continuous monitoring and reducing operational downtime across multiple departments. Delivered a production-ready automation system adopted company-wide. Extended the automation system with machine learning models (Random Forest) to predict short-interval energy usage, improving forecasting accuracy for operational planning. Co-authored a research paper accepted at IEEE SOFTT 2025, validating the integration of industrial IoT data, automation pipelines, and predictive analytics in a real-world setting.

Co-Founder at AI Automation & Operations College Essentials

May 1, 2023 - July 1, 2024

Co-founded AI Automation & Operations College Essentials. Designed and deployed GPT-powered automation workflows to generate product descriptions, customer messages, and campaign assets, reducing manual content and operations workload. Built an end-to-end business automation pipeline using GPT, Notion, and workflow tools to automate campaign planning, scheduling, and internal coordination. Drove 89.9% sales growth by systematizing pricing experiments and conversion optimization through automated prompt-based A/B testing ideas. Generated Rp26.87 million in revenue across two sales cycles by translating business requirements into repeatable, AI-driven operational processes.

AI & Data Project - Spotify Dataset Analysis at Telkom University

January 1, 2024 - June 1, 2024

Analyzed 22,872 data points to uncover patterns in song popularity; developed regression and classification models using Scikit-learn. Engineered 9+ insightful data visualizations using Matplotlib, revealing trends in genre, tempo, and artist correlation.

AI & Data Project - Climate Pattern Clustering at Coventry University

September 1, 2024 - December 1, 2024

Processed 2.3M+ climate data points to segment patterns using K-Means, DBSCAN, and Hierarchical Clustering via Python. Executed full end-to-end research independently, demonstrating analytical depth, autonomy, and precision under UK academic rigor.

Top 3 Finalist - SejutaCita Global Careers (SGC) Singapore Fully Funded Delegate at SGC Singapore

April 1, 2025 - June 1, 2025

Selected as 1 of top 3 Indonesian finalists out of thousands for SGC Singapore business case study competition. Represented Indonesian students in a panel session at Grab HQ, sharing how AI has impacted my learning, growth, and career aspirations.