Peter Kao

AI Technologist, Product Manager, Product Marketing

United States

500+ connections

Updated 7 months ago

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55+

Years Experience

Roles

Skills

Education

About

My passion is design, from early concept, assessment, prototyping, planning, developing, and marketing, to delivering the original idea. Right now, I am doing everything in artificial intelligence from supervised learning, unsupervised learning, GenAI, RAG and AI agents. In order to bring my ideas into reality, I am constantly working to expand my current knowledge and skill set. Machine Learning and Artificial Intelligence - TesorFlow, PyTorch Big Data - Hadoop, HBase, PySpark, TeraData, MongoDB, NoSQL Design and Programming Tools - Adobe Illustrator, Balsamiq, EClipse, Visual Studio Web - HTML5, JavaScript, Response Edit, CSS, JQuery, REACT Data - MS SQL Server, MySQL, and Oracle Mobile - Android, iOS, Android Studio Web Sites - E-Commerce, Video Streaming, Loan Auction, Digital Display Software - Java, Python, C/C++ Data Science - SQL, Python, R, Statistics, Excel Finance - MBA Finance, CFA Level I, Coded 8 Accounting Packages Advertising - Ad Engine, Digital Marketing Project Management - Microsoft Project E-Mail: [email protected]

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Experience (17 roles)

Machine Learning Engineer, Researcher, Data Scientist

Current

Peter Kao Associates · Self-employed

Oct 2024 - Present · 11 mos·San Jose, California, United States · On-site

Research on AI technologies, including large language models, fine-tuning LLM, RAG (Retrieval-Augmented Generation), AI agents, physical AI, reinforcement learning and vector databases. Working on AI applications using LLM fine-tuning, RAG, and AI agents. Use GCP, Google Colab, Google Kubernetes En...

Machine Learning Engineer, Firefly and Sensei Training Platform

Adobe · Full-time

Jun 2019 - Sep 2024 · 5 yrs 4 mos·San Jose CA

Provide coding support for researchers, regular users and interns on their training, inference and data loading using machine learning platform developed by our team ranging from Large Language models, supervised learning, unsupervised learning, computer vision, diffusion models, vector search and N...

Machine Learning Engineer

TEKsystems

Nov 2018 - May 2019 · 7 mos·San Jose CA

At Adobe, provide support for researchers to create models in Deep Learning and other machine learning algorithms on Adobe machine learning platform based on tensorflow, pytorch, caffe and pyspark. Create training contents on coding and platform and conduct workshops to assist user on machine learn...

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Education (3)

Pace University - Lubin School of Business

1984 - 2005

Columbia University

1973 - 1974

University of Massachusetts Lowell

1969 - 1973

Activities and societies: Eta Kappa Nu Electrical Engineering Honors Society

Skills (54)

ReactGoogle ColabGoogle Cloud Platform (GCP)Unsupervised LearningTableauSnowflakeAWSApache SparkPythonMySQLJenkinsGitHubTensorFlowGoogle ColabKubernetesBigQueryAirflowKafkaGKEGoogle CloudAzureJavaTableauAngularMongoDBNode.jsLinuxOracle DatabaseMongoDBAdobe IllustratorBalsamiqHTML5JavaScriptCSS3jQueryGoogle Kubernetes Engine (GKE)AlgorithmsComputer VisionReinforcement LearningComputer NetworkingSupervised LearningMicrosoft Power BITensorFlowRetrieval-Augmented Generation (RAG)Data Center InfrastructureVector DatabseLarge Language Models (LLM)AI AgentsArtificial Intelligence (AI)Databricks ProductsData ScienceMySQLJavaPython

Certifications (20)▼

Introduction to Deep Learning for Computer Vision

MathWorks

AI Capstone Project with Deep Learning

IBM

Generative AI Engineering and Fine-Tuning Transformers

IBM

Deep Learning with PyTorch

IBM

Generative AI Engineering and Fine-Tuning Transformers

IBM

Supervised Machine Learning: Regression and Classification

DeepLearning.AI, Stanford University

The Pytorch basics you need to start your ML projects

Coursera Project Network

Machine Learning Specialization

DeepLearning.AI, Stanford University

Advanced Learning Algorithms

DeepLearning.AI, Stanford University

Introduction to Big Data with Spark and Hadoop

IBM

Neural Networks and Deep Learning

DeepLearning.AI

Unsupervised Learning, Recommenders, Reinforcement Learning

DeepLearning.AI, Stanford University

Applied Machine Learning in Python

University of Michigan

Generative AI with Large Language Models

DeepLearning.AI, Amazon Web Services

Introduction to Retrieval Augmented Generation (RAG)

Duke University

Koggle 5 Day Gen AI Intensive Badge

US Space Enterprise

Neural Network and Deep Learrning

Coursera

Neural Networks and Deep Learning

DeepLearning.AI

Introduction to Spark SQL and DataFrames

Artificial Intelligence Foundations: Thinking Machines

Honors & Awards (1)▼

Achievement Award

Issued by Texas Instruments · Jun 1999

Associated with Texas Instruments

Frequently Asked Questions

What is Peter Kao's current role?▼

Peter Kao is currently working as Machine Learning Engineer, Researcher, Data Scientist at Peter Kao Associates · Self-employed.

Where did Peter Kao study?▼

Peter Kao studied MBA, Finance at Pace University - Lubin School of Business. They have 3 education entries on their profile.

What skills does Peter Kao have?▼

Peter Kao's top skills include React, Google Colab, Google Cloud Platform (GCP), Unsupervised Learning, Tableau. They have 54 skills listed on their profile.

Where is Peter Kao based?▼

Peter Kao is based in United States.