About Me

AI Engineer and Data Scientist with expertise in machine learning and intelligent systems

My Journey

My journey into AI and data science began during my computer science studies, where I was fascinated by the potential of machine learning to solve complex real-world problems. What started as curiosity about algorithms has evolved into a career focused on building intelligent systems that drive business value.

At McKinsey & Company, I work on cutting-edge AI projects, helping clients leverage data science to transform their operations. I specialize in developing end-to-end machine learning solutions, from data preprocessing to model deployment and monitoring.

When I'm not training models or analyzing data, you'll find me exploring the latest findings in science and engineering, finding interesting ways to stay active, or finding new ways to make life easier for everyone.

Fun Facts About Me

Fixed up an 1978 Honda CB550 for fun

Is working on trying to produce a song from every genre

Won a radio award for my lyrical analysis show (pre-Dissect)

Is an enthusiast of all things cooking

Skills & Technologies

PythonRSQLTensorFlowPyTorchScikit-learnPandasNumPyApache SparkAWSDockerKubernetesMLflowJupyterGitPostgreSQLMongoDBTableauPower BIOpenAI API

Career Timeline

Senior Data Scientist

at McKinsey & Companyin Denver, Colorado2023 - Present

Leading technical development at McKinsey's Center of Excellence for Generative AI within QuantumBlack Labs. Driving advanced AI research and development initiatives for client engagements.

Data Scientist II

at McKinsey & Companyin Denver, Colorado2022 - 2023

Key developer in COMETS (Commercial Excellence Through Space) solution for remote sensing analytics. Designed and implemented production-grade data infrastructure capable of managing terabytes of satellite and drone imagery data.

Data Scientist I

at McKinsey & Companyin Denver Metropolitan Area2020 - 2021

Worked on ACRE (Agricultural Commodities Research Engine) for agricultural analytics. Developed innovative analytics products to transform the agricultural industry using Python and Geographic Information Systems (GIS).

Graduate Machine Learning Researcher

at University of Arizonain Tucson, Arizona2018 - 2020

Conducted research under the DARPA Big Mechanism Program. Designed and implemented a hierarchical, domain-indexed prior for Markov Chain Monte Carlo simulations in biomolecular reaction prediction.

Quantitative Researcher

at US Department of Agriculture (USDA)in Greater Tucson Area2016 - 2020

Conducted molecular genetics research and statistical analysis at Agricultural Research Service (ARS). Developed statistical tooling and analytical frameworks for biological research applications.