Adi Bangun
ML Engineer ASE AI/ML | Gen AI | Agentic AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ASE AI/ML | Gen AI | Agentic AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a production-focused AI/ML engineer with 10+ years of experience across large-scale search, retrieval, ranking, multilingual embeddings, and GenAI evaluation. My strength is turning ambiguous AI problems into measurable product improvements by bridging modeling, evaluation, infrastructure, and cross-functional execution. I am especially interested in production-grade AI systems, retrieval-augmented intelligence, LLM evaluation, and reliable agentic AI.
The University of Manchester
Master’s Degree, Advanced Computer Science
January 1, 2014 – January 1, 2015
Institut Teknologi Sepuluh Nopember Surabaya
Bachelor's degree, Computer Science
January 1, 2010 – January 1, 2014
Apple
Senior ML Research Engineer
June 1, 2025 – Present
Apple
Senior Machine Learning Engineer - Apple Ads
March 1, 2022 – July 1, 2025
Apple
Machine Learning and Algorithm Engineer
April 1, 2020 – March 1, 2022
Shopee
Data Scientist
August 1, 2018 – April 1, 2020
Singapore
Traveloka
Sofware Engineer - Machine Learning
August 1, 2016 – August 1, 2018
Jakarta, Jakarta, Indonesia
Traveloka
Software Engineer - Release Manager
January 1, 2016 – July 1, 2016
Jakarta, Jakarta, Indonesia
Self-employed
Freelance Software Engineer
September 1, 2015 – December 1, 2015
South Jakarta, Jakarta, Indonesia
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Intro to Python for Data Science
DataCamp
June 24, 2026 – Present
C++
TestDome
June 24, 2026 – Present
Statistics Foundations: 1
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Statistics Foundations: 2
June 24, 2026 – Present
pandas Foundations
DataCamp
June 24, 2026 – Present
Intermediate Python for Data Science
DataCamp
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career progression through various ML-focused roles at prominent companies (Traveloka, Shopee, Apple) demonstrates adaptability and a consistent focus on machine learning, aligning well with an ML Engineer role. The diversity of projects mentioned (recommendation systems, image quality assessment) suggests a broad interest within the ML domain. The transition from Software Engineer to ML Engineer and then to Senior ML Research Engineer indicates a strong drive for continuous learning and specialization.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in a Recommender System team and responsibilities as a Release Manager, indicating potential for strong operational fit and leadership capabilities. However, without specific psychometric test results or interview data, a definitive assessment of soft skills is limited.