Daniel Pham

Verified Expert in Machine Learning System Design, Big Data Engineering & AI-Powered Personalization

Author of “Machine Learning Design Interview” | Personalized Math Tutor at LLMLab | Educator on Machine Learning System Design (Educative.io)

Over 14 years in software engineering & machine learning, working on large-scale systems, deep learning, and smart data platforms

Core Expertise
Machine Learning System Design
Big Data Infrastructure & Distributed Systems
IoT & Energy Optimization with ML
AdTech & Recommendation Systems
Natural Language Query Interfaces
AI-Powered Education & Personalized Tutoring
Bio

Khang Pham is a seasoned ML engineer and educator with experience in AdTech, IoT, and AI personalization. Author of “Machine Learning Design Interview,” he built a top ML system design course on Educative. He has held roles at Magic Eden, Snap, and Vungle, developing ad targeting and recommendation models, and launched AI energy optimization at Arimo. At LLMLab, he advances AI-powered math tutoring globally.

Education

– MS in Computer Science: Purdue University, USA (2008–2010) (Focus: Distributed Systems, IR, Compiler Design)

Skill

– Technical & System Design: Machine Learning (ML) | Deep Learning (DL) | Big Data Engineering | Hadoop | HBase | Spark | MapReduce | Distributed Systems | AdTech | IoT ML Applications | NLP | SmartQuery Interfaces
– Education & Mentorship: Technical Writing | AI Tutoring | Interview Coaching | Content Creation | Community Building
– Languages & Tools: Java | Python | C/C++ | SQL | Shell | TensorFlow | Git | Linux | Lucene | Hadoop Stack

Work Experience

2022 – Present

Software Engineer
Magic Eden

– Working on Web3 insights and related blockchain engineering projects.

2022 – Present
2021 – 2022

Software Engineer, Machine Learning
Snap Inc.

– Focused on Ad Targeting and Lookalike audience modeling using machine learning.

2021 – 2022
2020 – 2021

Staff Software Engineer, Machine Learning
Vungle, San Francisco Bay Area

– Applied ML/DL for ads recommendation in mobile advertising.
– Built streaming pipelines on Delta Lake to process billions of events near real-time.

2020 – 2021
2016 – 2020

Machine Learning Engineer
Arimo Inc., Mountain View, CA

– Achieved 4% energy savings for Japanese supermarkets using ML energy optimization models.
– Launched a commercial energy optimization service in Japan.
– Built AI models for capacitor product recommendations and HVAC clog detection (95% accuracy).
– Developed prototypes to detect operational issues in robotic arms.

2016 – 2020
2014 – 2016

Senior Software Engineer
Arimo Inc., Vietnam

– Led development of Distributed DataFrame (DDF) open-source project for distributed data analytics.
– Built natural language query tools for big data exploration and SQL-based data visualization tools.

2014 – 2016
2012 – 2014

Senior Core Tech Engineer
Tremor Video, Singapore

– Built a words-to-concepts model using LSI and Hadoop MapReduce for large-scale data analysis.
– Developed a machine learning web classification system with Hadoop, HBase, and SVM, improving processing speed 10x over the old stack.

2012 – 2014
2008 – 2010

Master’s Student
Purdue University

– Developed a massively parallel spatial-temporal data management and analysis system on Hadoop.
– Conducted IR projects using Lemur-light: text categorization and cross-collection mining.
– Built a distributed database system supporting SQL parsing, query optimization, and transaction management.
– Implemented a MiniJava compiler and supported deadlock detection and concurrency analysis.

2008 – 2010

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