Let’s talk
Erick Hendra Putra Alwando, Lead AI Engineer at Bank Rakyat Indonesia
  • LLM 0.99
  • Chatbots 0.98
  • AI orchestration 0.99
  • MLOps 0.97
  • Computer vision 0.96

Halo, I’m

Erick Hendra
Putra Alwando

Lead AI Engineer at Bank Rakyat Indonesia

I orchestrate AI across the bank, from chatbots and LLMs to models that reach 130 million customers.

See what I orchestrate Play the fraud game
scroll ↓

00 now / Lead AI Engineer

Orchestrating AI across all of BRI.

As Lead AI Engineer at Bank Rakyat Indonesia, I design how AI is built, governed and shipped across the bank, and lead the engineers who make it real: from chatbots and LLM applications to the models behind fraud detection and credit scoring.

  1. 01

    Chatbots & assistants

    Conversational AI for customers and employees, built to bank-grade security and compliance.

  2. 02

    LLM & GenAI apps

    LLM-powered applications across business units, like the analytics assistant that won BRIBrain.

  3. 03

    Fraud detection

    Real-time FDS that acts within 3 seconds and cut fraud losses by 30%.

  4. 04

    Credit scoring

    Digital credit-scoring APIs serving 7 BRI products and subsidiaries.

  5. 05

    MLOps platform

    The framework that took ML integration from 1 month to 3 days.

  6. 06

    Architecture & governance

    Reference architecture for every AI integration at BRI, with risk control built in.

ONE ORCHESTRATION LAYER · 130M CUSTOMERS · 7 PRODUCTS & SUBSIDIARIES · 25+ ENGINEERS · ONE ORCHESTRATION LAYER · 130M CUSTOMERS · 7 PRODUCTS & SUBSIDIARIES · 25+ ENGINEERS · LEAD AI ENGINEER AI ORCHESTRATION · BRI 01 Chatbots 02 LLM · GenAI 03 Fraud AI 04 Credit scoring 05 MLOps 06 Governance
all systems in production

01 about / model card

A model trained on 10+ years of shipping AI to production.

AI engineer with 10+ years in artificial intelligence. Today I’m Lead AI Engineer at Bank Rakyat Indonesia (BRI), orchestrating AI across one of Indonesia’s largest banks: chatbots, LLM applications, fraud detection, credit scoring and the MLOps platform that runs them all.

I started as a front-end engineer, went deep into computer vision research in Taipei, and came home to build real-time fraud detection before leading AI engineering at BRI. I care about the unglamorous part of AI: architecture, governance and the pipelines that take a model from a notebook to millions of people safely. And I still can’t say no to a good hackathon.

Erick Alwando (Erick Hendra Putra Alwando) adalah Lead AI Engineer di BRI (Bank Rakyat Indonesia) yang mengorkestrasi AI di seluruh BRI: chatbot, LLM, deteksi fraud, credit scoring, hingga platform MLOps. Lebih dari 10 tahun berkarya di bidang kecerdasan buatan.

MODEL CARDerick-hpa / v10.0
model_name
Erick Hendra Putra Alwando
role
Lead AI Engineer · Bank Rakyat Indonesia
version
v10.0 · 10+ years in AI
architecture
Engineer → Researcher → Product → AI Lead
pre-training
ITS · Informatics · 3.84 cum laude
fine-tuning
NTUST · M.Sc. Computer Vision · 3.98 cum laude
deployed_at
Bank Rakyat Indonesia · since 2017
locale
id (native) · en (professional) · zh (elementary)
intended_use
Orchestrating enterprise AI: chatbots, LLMs, ML platforms, teams, keynotes
known_limits
Cannot resist a hackathon. Will bring up MLOps at dinner.
license
open to collaboration
status in production

02 impact / evaluation metrics

ML integration time after the MLOps framework

1 month 30 days

130M

customers profiled

XGBoost customer-profiling model running across the BRI customer base.

−30%

fraud losses

End-to-end fraud detection system, from data pipeline to action.

≤3s

real-time FDS action

From suspicious transaction to disabled card in at most 3 seconds.

25+

engineers led

Building and running AI integration for BRI and its subsidiaries.

7

products & subsidiaries

Credit-scoring APIs for Ceria, BRIGuna, Keceku, Pinang, BRIFinance, Pegadaian and PNM.

03 journey / the line

Every station trained the next model.

NOW ARRIVING SURABAYA 2012
  1. 01 · Surabaya

    Teach.

    2012 — 2014

    Assistant Lecturer

    Institut Teknologi Sepuluh Nopember

    • Ran all course material for Android Programming at PIKTI ITS.
    • Produced an e-learning video series for Linear Algebra.
    • Head of Research & Technology at HMTC, the Informatics student association.

    TeachingAndroid

  2. 02 · Rumbai

    Build.

    Aug — Sep 2014

    Software Engineer Intern

    Chevron

    • Built a platform from scratch, from requirements to testing.
    • ASP.NET MVC 4 and SQL Server 2014, with a cross-browser UI.
    • Turned field-user needs into a better user experience.

    ASP.NETSQL ServerUX

  3. 03 · Jakarta

    Ship.

    May — Aug 2015

    Software Engineer, Web Frontend

    Traveloka

    • Owned parts of the presentation layer: HTML, CSS, JavaScript and Velocity templates.
    • Built responsive front-end and improved the Traveloka.com UI.
    • Contributed to a shared front-end framework and system-flow design.

    FrontendJavaScript

  4. 04 · Taipei

    Research.

    2015 — 2017

    M.Sc. Electronic & Computer Engineering

    National Taiwan University of Science and Technology

    • GPA 3.98 / 4.00, cum laude.
    • Research: deep learning and CNN-based action detection in video (Caffe).
    • Published in IEEE TCSVT and IEEE ICIP.

    Computer VisionCNNResearch

  5. 05 · Jakarta

    Stream.

    Dec 2017 — Jan 2020

    Data Engineer

    Bank Rakyat Indonesia

    • Built a real-time fraud detection system for debit and credit cards on Kafka and ML.
    • Helped BRI earn ISO 27001 for its Big Data ISMS, the first in Indonesia.
    • Delivered business insight on Cloudera, AtScale and Tableau.

    KafkaBig DataReal-time

  6. 06 · Jakarta

    Protect.

    Jan 2020 — Dec 2022

    Product Manager

    Bank Rakyat Indonesia

    • Led an end-to-end fraud detection system that cut fraud losses by 30%.
    • Customer profiling with XGBoost for about 130 million customers.
    • Real-time FDS that acts on a card within 3 seconds, plus 6 more models for other fraud types.
    • Member of the BRI fraud task force alongside the Board of Directors.

    FraudXGBoostProduct

  7. 07 · Jakarta

    Orchestrate.

    Jul 2022 — Now

    Lead AI Engineer

    Bank Rakyat Indonesia

    • Orchestrates AI across BRI: chatbots, LLM applications and production ML.
    • Pioneered BRI’s MLOps framework: ML integration went from 1 month to 3 days.
    • Recommends the architecture for every AI integration at BRI.
    • Led credit-scoring API development for 7 BRI products and subsidiaries.
    • Leads 25+ engineers and grew BRI’s ML Engineer talent pool.

    LLMChatbotsMLOpsLeadership

  8. ?? · next stop

    You?

    Boarding now

    Your idea, your team, your stage.

    Speaking, mentoring, AI platforms, collaborations.

    Get a ticket →

04 research / published

IEEE Transactions on Circuits and Systems for Video Technology · Dec 2018

CNN-Based Multiple Path Search for Action Tube Detection in Videos

E. H. P. Alwando et al. · National Taiwan University of Science and Technology

Abstract. A two-stream CNN approach that detects multiple spatio-temporal action tubes in video. A video localization refinement scheme rectifies inaccurate boxes using temporal consistency, a new fusion strategy adds motion saliency, and an efficient multiple path search finds every tube in a single run, outperforming state-of-the-art work on four public datasets.

12 frames · ready
Fig. 1. A simplified, playable take on multiple path search. Each column is a video frame of noisy CNN detections. The forward pass accumulates scores while each box keeps its best links; a single backward trace then pulls out every action tube at once, with no repeated search.
  1. IEEE TCSVT CNN-Based Multiple Path Search for Action Tube Detection in Videos IEEE Transactions on Circuits and Systems for Video Technology · Dec 2018
  2. IEEE ICIP Multiple Path Search for Action Tube Detection in Videos 2017 IEEE International Conference on Image Processing (ICIP) · Feb 2018

05 play / beat the model

Can you beat a 3-second fraud model?

Ten transactions, three seconds each. Approve or block. The real-time fraud detection system I helped build makes this call for millions of cards. Let’s see how you do.

FDS · TRAINING MODE

Ready, analyst?

Spot the fraud before the timer runs out. Keys: A approve, B block.

TX #000000 01 / 10

Rp 0

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06 skills / architecture

A network of skills, trained end to end.

hover a neuron

Each node is a skill.

Edges light up to show what it feeds into.

  • Foundations
    • Algorithms: ACM ICPC Asia Jakarta finalist, 2012.
    • Frontend: HTML, CSS, JS and Velocity at Traveloka.
    • ASP.NET · SQL: Built a platform from scratch at Chevron.
    • Android: Taught Android Programming at ITS.
    • PHP: CodeIgniter information system for a cooperative.
  • Data & ML
    • Computer Vision: CNN action tube detection, IEEE TCSVT.
    • Deep Learning: Two-stream CNNs in Caffe and TensorFlow.
    • XGBoost: Customer profiling for about 130M customers.
    • Kafka Streaming: Real-time card-fraud detection pipeline.
    • Big Data: Cloudera, AtScale and Tableau. First ISO 27001 Big Data ISMS in Indonesia.
    • LLM Apps: BRIBrain winner: dashboards in 5 minutes or less.
  • Platforms
    • MLOps: Framework that took ML integration from 1 month to 3 days.
    • Real-time FDS: Action within 3 seconds and fraud losses down 30%.
    • Credit Scoring APIs: Serving 7 BRI products and subsidiaries.
    • Chatbots · GenAI: Conversational AI and LLM applications across BRI.
    • AI Orchestration: Orchestrates AI across BRI: architecture, governance and integration.
    • Cloud · GCP: End-to-end ML with TensorFlow on GCP.
  • Impact
    • Team Leadership: Leads 25+ engineers.
    • AI Product: Product Manager for BRI’s fraud and AI products.
    • Public Speaking: BRI Tech Talk × Tech in Asia and industry conferences.
    • Mentoring: National Super Mentor (Dealls), guest lecturer (Telkom University).

07 awards / leaderboard

Leaderboard

  1. 2026 IOBS 2026 Platinum Award

    An Operational Excellence application that helps agricultural UMKM (micro, small and medium enterprises) become more efficient and data-driven.

  2. 2025 Hack-o-Train 2025 1st Place · External Focus

    A BRI hackathon coded on a moving train from Jakarta to Yogyakarta. Team Kakegurui.

  3. 2023 BRIBrain Hackathon 1st Place

    An LLM-powered personal data analytics assistant that builds sales pipelines, forecasts and full dashboards in 5 minutes or less.

  4. 2023 BioFarma × MIT Hacking Medicine Selected Participant

    An international healthcare hackathon in Bali, organised by BioFarma and MIT.

  5. 2022 Best IT Engineer, BRI Top 5 Nominee

    Nominated among the best IT engineers at Bank Rakyat Indonesia.

  6. 2013 Gemastik · Software Engineering Semifinalist

    National IT competition by Ristek Dikti, with a project management and planning schema.

  7. 2012 ACM ICPC Asia Jakarta Finalist

    Represented ITS and Indonesia at the International Collegiate Programming Contest.

// training data

  1. Fine-tuning · 2015 — 2017

    National Taiwan University of Science and Technology

    M.Sc. Electronic & Computer Engineering

    3.98 / 4.00 · Cum Laude

  2. Pre-training · 2011 — 2015

    Institut Teknologi Sepuluh Nopember (ITS)

    S.Kom. Informatics Engineering

    3.84 / 4.00 · Cum Laude in 3.5 years

  3. Transfer learning · 2020 — 2021

    Imperial College Business School

    Business Analytics: From Data to Decisions

    Artificial Intelligence

// checkpoints

  1. Feb 2021Imperial Business Analytics: From Data to DecisionsEmeritus
  2. May 2020Agile, Scrum, and KanbanHacktiv8 Indonesia
  3. May 2019End-to-End Machine Learning with TensorFlow on GCPCoursera
  4. May 2019GCP Big Data and Machine Learning FundamentalsCoursera
  5. Feb 2019Certified Data Science for ManagerSharing Vision Indonesia

// side quests

  1. 2016ICE 2016 after-event filmIndonesian Culture Exhibition, NTUST-ISA
  2. 2015NTUST IMSA websiteRedesign, gallery, membership security fix
  3. 2014BKM Ngagel information systemSavings & loan cooperative, PHP CodeIgniter

08 moments / on stage & on the podium

Frames worth keeping.

Hackathon wins, award nights and the stage. Every frame here already passed the detector. Tap one to see it full size.

BRI Tech Talk × Tech in Asia SpeakerDealls Jobs Event National Super MentorTelkom University, Graduate School of Industrial Management Guest LecturerBank Rakyat Indonesia Instructor & MentorIndustry conferences ML development at BRI

09 speaking / mentoring

“Moments like this remind me how powerful conversations can be in shaping ideas and driving innovation.”

After speaking at BRI Tech Talk × Tech in Asia
  • SpeakerBRI Tech Talk × Tech in Asia
  • National Super MentorDealls Jobs Event
  • Guest LecturerTelkom University, Graduate School of Industrial Management
  • Instructor & MentorBank Rakyat Indonesia
  • ML development at BRIIndustry conferences

10 contact / inference request

Let’s build
something intelligent.

01 LinkedIn 02 erickalwando@gmail.com

Jakarta, Indonesia
--:-- WIB · probably shipping a model