Hardefa Rogonondo

Career Timeline

Journey

A timeline of roles, education, and applied engineering work across data science, AI systems, and robotics.

Professional Experience

Senior Data Scientist

VentureSEA Digital Pte Ltd

Full-Time

April 2026 - Present ·

Singapore

Remote

VentureSEA -

Key Responsibilities:
Maintain the company’s data pipeline using PDM for dependency management, Docker for containerization, and Pytest for testing, ensuring reliable and efficient data processing to support critical business operations.
Resolve live service issues across key data systems, including Apache Airflow workflows and automated Google Drive pipelines, using Databricks for debugging to minimize disruptions and ensure data availability.
Provide ad hoc support to the fulfillment team by performing manual data injections from AWS S3 to Google BigQuery, expediting data pipeline troubleshooting and ensuring data integrity.
Document query logic in Metabase and Google BigQuery, centralizing knowledge in Confluence to improve team productivity and align expectations with project goals, and update queries as needed for improved data access and reporting.
Collaborate with network engineers and site reliability teams to address network and infrastructure needs, enabling seamless integration and uninterrupted performance of data pipelines and projects.
Manage pipeline documentation for all pipelines owned by the AI and Data team, ensuring proper cross-checking with other teams to determine pipeline usage and deactivating unused pipelines to reduce operational costs.

Artificial Intelligence and Data Engineer

PT Shippindo Teknologi Logistik

Full-Time

December 2024 - May 2026 ·

Malang, Indonesia

On-site

Shipper is Indonesia's leading digital logistics company, specializing in end-to-end supply chain solutions for e-commerce and enterprises, with a mission to democratize top-tier logistics nationwide.

Key Achievements:
Pioneered the research and implementation of a Multi-Camera Tracking and Occupancy Analytics project as part of the NVIDIA Metropolis program, utilizing NVIDIA Jetson devices for edge computing to enable real-time analytics and enhance operational efficiency across warehouses.
Led the AI project to translate insights from rich data and dashboards within Google Looker Studio, automating the extraction and generation of actionable insights to help the cross-functional team make data-driven decisions more efficiently.
Engineered a new data pipeline to extract and process Point of Sale (POS) data from a third-party partner using bulk API extraction logic and web scraping techniques, providing the Business Intelligence team with critical data for market analysis.
Enhanced data pipeline flexibility by parameterizing Apache Airflow DAGs, empowering non-technical teams to trigger custom data extractions independently and significantly reducing the data team's operational load.
Designed and deployed a comprehensive data pipeline integrating a major cross-border e-commerce Warehouse Management System (WMS) and Enterprise Resource Planning (ERP) platforms, ensuring seamless data synchronization and improving cross-platform operational visibility.
Spearheaded the migration of the Apache Airflow alerting infrastructure from Opsgenie to Grafana, centralizing system monitoring capabilities and streamlining incident response workflows for data operations.

Key Responsibilities:
Maintain the company’s data pipeline using PDM for dependency management, Docker for containerization, and Pytest for testing, ensuring reliable and efficient data processing to support critical business operations.
Resolve live service issues across key data systems, including Apache Airflow workflows and automated Google Drive pipelines, using Databricks for debugging to minimize disruptions and ensure data availability.
Provide ad hoc support to the fulfillment team by performing manual data injections from AWS S3 to Google BigQuery, expediting data pipeline troubleshooting and ensuring data integrity.
Document query logic in Metabase and Google BigQuery, centralizing knowledge in Confluence to improve team productivity and align expectations with project goals, and update queries as needed for improved data access and reporting.
Collaborate with network engineers and site reliability teams to address network and infrastructure needs, enabling seamless integration and uninterrupted performance of data pipelines and projects.
Manage pipeline documentation for all pipelines owned by the AI and Data team, ensuring proper cross-checking with other teams to determine pipeline usage and deactivating unused pipelines to reduce operational costs.

Engineering Research Consultant

Madrasah Aliyah Negeri 2 Kota Malang

Part-Time

April 2022 - Present ·

Malang, Indonesia

Hybrid

Madrasah Aliyah Negeri 2 Kota Malang is an Islamic high school renowned for its integrated educational system and dedication to nurturing quality service and educational standards in Indonesia.

Data Scientist

PT Aiforesee Inovasi Skor

Full-Time

September 2021 - May 2025 ·

Jakarta, Indonesia

Remote

AIForesee is a credit scoring and consulting company focused on empowering MSMEs with unbiased, credible SME-related information and advanced machine learning services for better financial opportunities and inclusion.

Key Responsibilities:
Applied CRISP-DM methodology comprehensively in all end-to-end data science projects, from business understanding to model deployments.
Leveraged SQL for data querying and Python for cleaning, processing, and integrity checks; performed exploratory data analyses and mining for insights; and conducted ad-hoc analyses, conveying findings for strategic decisions.
Leveraged scikit-learn, SciPy, InterpretML, and XGBoost for developing advanced machine learning classifiers focusing on effective feature selection and optimized performance.
Developed deep learning projects utilizing PyTorch, TensorFlow, and Keras with a specialization in large language models (LLMs).
Expanded data repositories with third parties, ensuring data confidentiality, integrity, and availability, compliant with ISO/IEC 27001 standards.
Deployed models efficiently using FastAPI and Flask, ensuring robust and scalable model implementations.

Internet of Things Engineer

PT Bersama Kreatif Teknologi

Full-Time

January 2021 - August 2021 ·

Jakarta, Indonesia

On-site

PT Bersama Kreatif Teknologi is a dynamic bootstrapping startup, transitioning from its original electric bike venture, Jakarta Bike Hub, to Seafreshing, an innovative food distribution company.

Maintenance Support

PT Schneider Indonesia

Internship

January 2019 - March 2019 ·

Cikarang, Indonesia

On-site

Schneider Electric in Cikarang is a pivotal branch of the global energy management and automation leader, Schneider Electric, offering cutting-edge solutions to boost energy efficiency and sustainability for local businesses and communities.