Navigating modern artificial intelligence and backend engineering leadership requires a rare blend of deep academic research and high-scale commercial execution. Hendri Karisma has built a multifaceted career bridging large-scale data platforms, machine learning systems, and academic instruction. Rather than viewing technology through a single lens, his professional path illustrates how technical rigor in distributed systems translates into real-world enterprise architecture.
Understanding the full scope of his work requires examining his transition from core software engineering to executive artificial intelligence leadership, his academic contributions, and the specific engineering frameworks he champions.
Early Career and Technical Foundations
Long before stepping into executive roles, Hendri focused heavily on the mechanics of backend software engineering, scalable infrastructure, and early machine learning integrations. His education laid a strong theoretical foundation: he earned his bachelor's degree in Informatics from Universitas Komputer Indonesia and subsequently completed his Master of Science in Informatics at the Institut Teknologi Bandung (ITB).
During his early professional phase, including engineering work at payment infrastructure platforms like Midtrans (formerly Veritrans), he focused on building custom fraud detection engines using machine learning in languages like Scala. This foundational period shaped his perspective on low-latency data processing, transaction security, and resilient backend design—elements that would define his later leadership trajectory.
Scaling Systems at Blibli and Nusadata
As his career progressed, Hendri took on principal engineering and research roles at major Indonesian e-commerce and data technology firms. At Blibli.com, he served as a Principal R&D Engineer, leading artificial intelligence initiatives focused on recommendation systems and automated fraud detection that handled millions of daily user transactions.
His work during this period included:
- Architecting graph-based rule engines to combat promotion abuse, cutting transaction fraud by 40 percent.
- Implementing Hidden Markov Models for collaborative filtering, which drove a 25 percent increase in click-through rates.
- Mentoring engineering teams on production-grade machine learning operations (MLOps) and model deployment pipelines.
Transitioning to Nusadata.ai as Principal R&D and Head of Data, he managed teams building analytics platforms capable of processing billions of mobility data points and massive demographic datasets. These roles cemented his reputation for balancing architectural scalability with strict regulatory compliance and security standards, including ISO implementations.
Executive Leadership at Jejakin and AI Integration
In his role as Vice President of Engineering and AI at Jejakin, Hendri oversees technical strategies that merge sustainability technology with artificial intelligence. His work here addresses complex ecological monitoring challenges.
Key technical initiatives under his watch include:
- Architecting carbon credit registries secured through blockchain infrastructure using Hyperledger Fabric.
- Developing deep learning systems utilizing multi-modal satellite imagery analysis for biodiversity tracking, environmental monitoring, and tree-planting validation.
- Scaling cloud-native infrastructure across distributed teams to ensure high availability and data integrity.
By combining environmental science frameworks with automated machine learning pipelines, this work demonstrates how modern engineering leaders can direct technical capability toward complex ecological problems.
Academic Impact and Research Contributions
Beyond corporate engineering, Hendri maintains an active presence in higher education as a permanent lecturer and director of artificial intelligence study centers at institutions like STMIK Tazkia and Universitas Komputer Indonesia. He teaches core subjects including artificial intelligence, data engineering, algorithms, and computer vision.
His academic research bridges practical industry challenges with theoretical computer science. Published papers and conference contributions range from predictive modeling for banking repricing gaps using neural networks to early cancer detection models utilizing DNA methylation data. This dual commitment to industry execution and academic mentorship allows him to bridge the gap between theoretical research and production code.
Frequently Asked Questions
What is Hendri Karisma's primary professional focus?
He focuses on artificial intelligence engineering, machine learning operations (MLOps), backend architecture, and technical leadership in fast-growing technology sectors like fintech, e-commerce, and green technology.
What educational background does he hold?
He holds a bachelor's degree in Informatics from Universitas Komputer Indonesia and a master's degree in Informatics from the Institut Teknologi Bandung (ITB).
What companies has he worked with?
His career includes engineering and leadership roles at organizations such as Midtrans, Blibli.com, Nusadata.ai, and Jejakin.
Does he participate in academic research?
Yes, he serves as a lecturer and AI study center director, publishing peer-reviewed research on machine learning applications, neural networks, and data analytics.
