A unique blend of Scientific Computing, Machine Learning, and Software Engineering. I specialize in translating complex, data-heavy problems into systematic, automated solutions.
- Engineering: Forward Deployed Engineer & Data Analyst crafting actionable prototypes and managing large-scale financial data.
- Research: Bridging Computational Chemistry with Artificial Intelligence, with interests spanning biobased materials and advanced simulations.
| Domain | Technologies |
|---|---|
| AI, ML & Vision | Python, TensorFlow, Scikit-learn, Pandas, NumPy, Deepstream, Hybrid RAG |
| Web & Software | JavaScript, TypeScript, React, Angular, Vue, Docker |
| Data & BI | SQL (MySQL, PostgreSQL), Google BigQuery, Snowflake, PowerBI, Tableau |
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Developed and trained machine learning models to predict
$CO_{2}$ solubility in various ionic liquids utilizing quantum chemical descriptors. -
Ingested, cleaned, and analyzed massive film datasets to identify industry trends via Python and MySQL.
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Gadjah Mada Blockchain Club | President
Provided leadership and strategic direction for the university's premier blockchain-focused student organization. Led major tech events like the 'Road to Devcon 2024' in Yogyakarta and successfully secured a grant from the Ethereum Foundation (Search for Road to Devcon: Empowering the Next Generation of Web3 Innovators!).
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Stacks Indonesia | Community Organizer
Co-organized and executed blockchain meetup events across four major Indonesian cities, engaging with over 500 participants. Hosted specific technical workshops like "Building on Bitcoin" and "Stacks Nakamoto" in cities including Surakarta and Jakarta to grow the local developer ecosystem.
When I am offline, I spend my time playing guitar.
- LinkedIn: Maulana Ragil Zakariah
- GitHub: ragilzakaria
- Medium: @ragilzakaria
- Email: ragilzakaria@gmail.com