Available to hire
I am a software and data engineer with 4+ years of experience transitioning AI and application prototypes into production-ready pipelines. I focus on building scalable MLOps workflows and cloud infrastructure to ensure model reliability and security.
I enjoy architecting end-to-end data solutions, mentoring and collaborating with engineers, and delivering robust CI/CD pipelines with Terraform, AWS, Python, and SQL. I’m looking to apply this stack to help teams ship high-performance software and data systems.
Skills
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Language
Javanese
Advanced
Work Experience
Data Engineer at IT Professional Pty Ltd
January 1, 2021 - September 1, 2024Designed and deployed ML-ready ETL pipelines on AWS, enabling content classification and anomaly detection for enterprise datasets. Integrated LLM-powered assistants into analytics dashboards, enabling natural-language querying and explainable AI interpretability. Built 20+ interactive dashboards (React.js + Power BI), improving decision-making efficiency by 20% for risk and compliance teams. Automated validation and reporting via Python and SQL, reducing manual effort by 30% and improving pipeline reliability for downstream models. Collaborated with stakeholders to define project scope and translate requirements into secure, automated solutions. Contributed to CI/CD pipeline development and governance documentation, embedding version-control and reproducibility practices. Mentored a team of 5 junior engineers, boosting productivity by 25% while incorporating ML Ops best practices and safety-critical data practices.
Software Engineer at LG Soft India
February 1, 2019 - January 31, 2020Delivered full-stack feature development using React.js (frontend) and Python/Node.js APIs (backend), improving CI/CD pipelines and Agile delivery for reproducible deployments in production environments. Enhanced system monitoring by building log analytics pipelines (Python + React.js), providing insights for cloud deployment performance. Developed and optimized Python-based automation and image-processing pipelines, boosting productivity of embedded AI systems by 50%. Worked with a team of six to maintain version control. Conducted API, UI and unit testing practices and contributed to improving efficiency of infotainment software by 40%.
Education
Master of Computer Science at The University of Melbourne
March 1, 2020 - July 1, 2025Bachelor of Technology (Computer Science & Engineering) at Vardhaman College of Engineering
August 1, 2015 - April 1, 2019Qualifications
Google Professional Data Engineer Certification
November 1, 2025 - February 28, 2026Melbourne School of Engineering Scholarship
March 1, 2020 - November 1, 2021Industry Experience
Software & Internet, Professional Services, Computers & Electronics
Skills
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