<aside> 🎨 Hello! I’m Edi Wijaya, a AI Engineer based in Jakarta, Indonesia.

With over 6 years of hands-on experience, I specialize in building high-impact AI solutions that drive business value—whether by boosting revenue, cutting costs, or improving decision-making systems. I work at the intersection of Artificial Intelligence, Software Engineering, and Data Science, where technical depth meets practical execution.

My portfolio includes projects in Generative AI, credit scoring systems, and data-driven analytics, primarily in the fintech sector. I’m passionate about designing robust, scalable ML pipelines and architecting intelligent systems that solve real-world business challenges.

Driven by curiosity and long-term thinking, I thrive in roles where innovation, precision, and meaningful outcomes matter. If you’re excited about leveraging AI for practical business impact, I’d love to connect.

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🌈 About Me

I’m a Machine Learning Engineer who enjoys building smart systems that actually make a difference. I come from a modest background, so I’ve always valued learning deeply, thinking long-term, and using technology to create real impact—especially in finance and decision-making. For me, it’s not just about the models or the code, but about crafting solutions that are thoughtful, reliable, and genuinely useful.

💼 Experience

Senior AI Engineer - STAR AM | Jan 2026 - Present

• Initiate data analytics architecture that adhere best practices to reduce redundant process by 20% and deliver higher 20% by the same workload.
• Own data pipeline to reflect accuracy and trustworthy data for asset management.
• Perform process improvement in data analytics to reduce risk of compliance.

Senior AI Engineer - Danamas | Sep 2022 - Jan 2026

• Lead the design of intuitive user interfaces for mobile and web applications, enhancing user satisfaction and engagement.
• Collaborate with cross-functional teams to create cohesive brand experiences across all platforms.
• Mentor junior designers, fostering a collaborative and innovative design culture.

Data Scientist - Pitik | Nov 2021 - Sep 2022

• Lead, develop, and maintain Data Warehouse and ETL pipelines (batch processing) that allow data analytics system available to stakeholders.
• Develop and maintain data engineering pipeline of IoT data, ElasticSearch, for data science usage.
• Conducted data analysis that support business outcome.

Data Scientist - Evermos | Oct 2020 - Nov 2021

• Build and deployed a stock recommendation system to optimize warehouse.
• Created interactive dashboards to provide insights into sales trends and customer behavior.
• Collaborated with the engineering team to integrate machine learning models into the company’s e-commerce platform.