Michael Yang

Michael Yang Email and Phone Number

Chief Technology Officer @ Tech 42
Atlanta, GA, US
Michael Yang's Location
Atlanta Metropolitan Area, United States
Michael Yang's Contact Details
About Michael Yang

A passionate in data science looking to pursue a career in utilizing Machine Learning to deliver insight and implement action-oriented solutions to complex problems. Languages & Frameworks:Python (pandas, numpy, scikit-learn, etc.) | Deep Learning (Keras/Tensorflow, PySpark) | R | SQL

Michael Yang's Current Company Details
Tech 42

Tech 42

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Chief Technology Officer
Atlanta, GA, US
Website:
tech42consulting.com
Employees:
13
Michael Yang Work Experience Details
  • Tech 42
    Chief Technology Officer
    Tech 42
    Atlanta, Ga, Us
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  • Logicworks
    Aiml Practice Lead
    Logicworks Jul 2023 - Present
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  • Triumph Technology Solutions Llc
    Delivery Manager, Aiml
    Triumph Technology Solutions Llc Sep 2022 - Jul 2023
    - As the AIML Delivery Manager, successfully led the delivery of over 30 AIML projects. Collaborated with startups and medium-sized companies to implement cutting-edge AIML solutions, ensuring client satisfaction and project success.- Functioned as the primary Machine Learning Architect, contributing to the design and implementation of over 20 AIML projects. Applied AWS's ML well-architected framework pillars to develop end-to-end AIML systems across various stages of the ML lifecycle, ensuring robust and scalable solutions.- Implemented Gen AI applications such as medical SOAP notes generator, internal domain chatbots and image generator agent. Approaches used include Large Language Model (LLM)/Diffusion model fine tuning, Retrieval Augmented Generation (RAG), model quantization and low latency model serving on multiple GPU accelerators.- Drove the successful completion of AWS's ML Competency exam, earning Triumph Tech the highest recognition for ML capability as a consulting company. This achievement led to a 200% increase in ML sales opportunities from AWS for the organization, solidifying its position as a leader in the field.- Developed Proof of Concepts (POCs) such as cost effective serving of LLM and Diffusion Model to showcase Company's AIML capabilities, demonstrating innovative solutions to potential clients. - Managed and provided mentorship to a team of over 15 ML and data engineers. Through guidance and support, successfully facilitated the transition of 60% of these engineers into solution architects in their respective domains, nurturing talent and promoting professional growth.
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  • Triumph Technology Solutions Llc
    Machine Learning Engineer
    Triumph Technology Solutions Llc Apr 2022 - Sep 2022
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  • Cox Communications
    Senior Data Scientist
    Cox Communications Mar 2020 - Apr 2022
    Atlanta Metropolitan Area
    - Led the AWS architecture design of the ticket master correlation engine “Dealer” that leverages 18+ ETL pipelines and 5 machine learning models (daily technician resource forecast, edge health score forecast, anomaly detection of network health, network outage detection and probability of network service affecting events) to submit proactive maintenance tickets to reduce over $6 million dollars of yearly transactional cost.- Designed and developed “Event Correlation” application to correlate and group redundant service tickets with new or working tickets via AWS EventBridge and Lambdas which reduced 23% of technician labor hours. - Developed MLOps framework with feature engineering, data preprocessing, data versioning, model training, model evaluation, model versioning, batch inference, data validation, data drift detection, target drift detection, model performance monitoring and automated notifications for model retraining. - Developed “Design of Experiments”; a scalable approach to design and execute AB testing by automating sample selection analysis (invariant metric check, sample size estimation, sample representativeness, bootstrap statistics) and monitoring of AB testing experiments. - Implemented NLP by leveraging discovered insight from call records and technician journal notes to network service affecting events which increased technician ticket actionability on average by 35% across the regions. - Migrated the application “Chronic” from on-premise to AWS by converting 40+ SQL scripts from Oracle to Presto and to Gremlin queries to enable utilization of Graph database.
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  • Jacobs
    Data Scientist/ Process Engineer
    Jacobs Oct 2019 - Mar 2020
    • Collected, analyzed, and preprocessed raw operation data from various water and wastewater treatment facilities to develop forecasting models using multivariate regression for utility master plans.• Analyzed dataset through exploratory data analysis to define important features for blower energy consumption.• Developed a machine learning pipeline with Pyspark libraries using linear regression model to predict blower energy consumption based on air flow, operating pressure, temperature and inlet guide vane positions. • Developed a machine learning model to predict membrane permeability based on selection of operational features for the Spokane Water Treatment Plant which reduced O&M cost by 20% annually. • Performed sentimental analysis in customer feedback on Twitter in effort to identify trends between customer comments and effluent water quality for municipal water treatment plants.• Implemented ML model to SCREAM, Sewer Condition Risk-Enhanced Assessment Model, that predicts sewer pipe condition score which helped reduced 40% annually in pipe inspection cost for water and sewer municipalities.• Collaborated with global technologist and solution leaders on development of machine learning applications to analyze operation and asset management data in effort to optimize utility operation and maintenance cost for our clients.
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  • Ch2M
    Data Scientist / Process Engineer
    Ch2M Jun 2016 - Oct 2019
    Greater Atlanta Area
    • Collected, analyzed, and preprocessed raw operation data from various water and wastewater treatment facilities to develop forecasting models using multivariate regression for utility master plans.
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  • Texas Tech University
    Teacher Assistant
    Texas Tech University Jan 2014 - May 2014
    Texas Tech University
    • Assisted professor to plan class assessment materials • Evaluated/graded student assignments and created solutions for homework materials • Provided guidance to students during a filter design project and evaluated the design products
  • Texas Tech University
    Research Assistant
    Texas Tech University Sep 2012 - May 2013
    • Worked alongside with a graduate student and a professor to optimize parameters using machine learning for preparing iron nanoparticles used in environmental remediation applications • Designed and performed copper reduction and nitrate reduction experiments to determine reactivity of nZVI• Contributed as a co-author to the writing of a journal manuscript
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Michael Yang Skills

Autocad Microsoft Office Presentations Geographic Information Systems Arcgis Research Teamwork Leadership Wastewater Treatment Water Treatment Water Distribution Environmental Engineering Environmental Compliance Water Conveyance Python R Machine Learning Deep Learning

Michael Yang Education Details

  • Texas Tech University - Engineering
    Texas Tech University - Engineering
    3.72

Frequently Asked Questions about Michael Yang

What company does Michael Yang work for?

Michael Yang works for Tech 42

What is Michael Yang's role at the current company?

Michael Yang's current role is Chief Technology Officer.

What is Michael Yang's email address?

Michael Yang's email address is mi****@****obs.com

What schools did Michael Yang attend?

Michael Yang attended Texas Tech University - Engineering.

What are some of Michael Yang's interests?

Michael Yang has interest in Human Rights, Science And Technology, Environment, Health.

What skills is Michael Yang known for?

Michael Yang has skills like Autocad, Microsoft Office, Presentations, Geographic Information Systems, Arcgis, Research, Teamwork, Leadership, Wastewater Treatment, Water Treatment, Water Distribution, Environmental Engineering.

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