Jordan Carson

Applied AI ML Engineer = Software Engineer + Data Scientist + ML|DevOps + Cloud SRE

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Autodidact AI Engineer with a passion for creating resilient, fault-tolerant and robust real-time software. Passionate about - best practices, minimalistic and flat designs, keeping things simple and test driven development.


School

Johns Hopkins, Whiting School of Engineering, Baltimore, MD

M.S. in AI & Computational Mathematics, 2021 - Present

Hobart & William Smith Colleges, Geneva, NY

B.A. in Economics, 2009 - 2013

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• Adept at applying strategies, plans, and processes enlivening frameworks, capabilities, and tools producing needs-based client business solutions.


• Collaborative professional forging pivotal partnerships and relationships with cross-functional teams facilitating problem-solving, trend assessments, new opportunity identification, and integrating best practices enhancing project completion.


• Successfully designing, creating, and completing quantitative data research, analysis, mining, and application procedures bolstering feature enhancements, decision-making, and product design.


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Bullets New York, NY, (2021 - Present)

Associate, AI ML Engineer, AWM AI Engineering, Asset & Wealth Management


Assisting Asset and Wealth Management with Client/Prospecting Leads through the use of Applied Machine Learning.



Bullets New York, NY, (2021 - Present)

Associate, Full-Stack Data Scientist, Global Client Analytics, Global Markets Americas


Previously, Lead Data Scientist and Infrastructure Manager in the Americas. Re-developed client analytics software for Global Markets and Global Banking. Consisting of, ChatBots, Predictive Models, data pipelines, infrastructure development and AIML. Organized the deployment of Airflow, migrated team to microservices via FastAPI and Kubernetes.

Bullets USB Securities, Stamford, CT (2013 - 2015)

Analyst, Software Engineer, Group Data Services


Invented and maintained client on-boarding data warehouse supplying business solutions for pivotal clients integrating data and trends research and analysis. Generated pipeline report tools compiling data to craft Tableau visualizations and presentations for Senior Management bolstering strategic decision-making capabilities for new business opportunities. Configured a client cockpit dashboard employing client on-boarding and capital markets data warehouses innovating tools, resources, and solutions.

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  Python, Golang, JavaScript, TypeScript, SQL
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  FastAPI, Flask, Mux, FastHTTP, Gin Gonic, GraphQL, Apigee
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  Docker, Kubernetes, Skaffold, Rancher, Docker Swarm
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  Svelte, SvelteKit, React, HTML5, CSS3, SASS
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  AWS RDS, Postgres, Elasticsearch, DuckDB, MongoDB, Cassandra, DynamoDB, kdb+, SQL Server, Redis
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  Tableau, PowerBI, Grafana, Kibana, D3.js, Superset
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  Prefect, Airflow, Spark, Kafka, Jenkins, TravisCI
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  Terraform, AWS, GCP, Azure

bold=Preferred / used in PROD
italic=Used with k8s
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Udacity

Machine Learning - Artificial Intelligence, with Natural Language Processing - Deep Learning - Data Structures and Algorithms

Coursera

Statistics with Python - Mathematics for Machine Learning - Calculus I, II - Linear Algebra - Differential Equations - Discrete Math - Stochastic Calculus - Vector Calculus and Complex Analysis