I'm a generalist with 20 years of professional experience covering more technologies than would make sense to list above, working most recently in a solution architect role. I'm actively seeking full-time employment in the NYC area, though I'm open to fully remote opportunities as well.
I work well with product and business stakeholders as a Solution Architect to define their problem with enough requirements and constraints to narrow the possible solution space to a set of best viable options. I also work well with implementation teams as a Senior Engineer to help properly implement a chosen solution, while still doing a fair bit of implementation myself.
I have many personal/academic interests that augment my professional experience pretty well, such as studying AI/ML in a Systems Science graduate program working on an explainable ML approach similar to log-linear models called "reconstructability analysis". I'd love to hear from any AI/ML companies that are looking to tackle the problem of AI explainability.
Anyone interested in speaking can reach me over LinkedIn or schedule a meeting via the Calendly link on my Resume page. Email and phone can be provided on request.
Remote: Prefer hybrid, but available for full remote
Willing to relocate: Unlikely
Technologies:
- Languages: Typescript (Javascript), Nim, PHP, Python, R
- Frameworks: Angular, React, NestJS, ExpressJS
- Services: MongoDB, Postgres, Redis, Neo4J, Docker, k8, Kafka, Camunda, OPA
- Platforms: AWS, GCP, Salesforce, Office 365
Resume: https://goose.us/resume/
LinkedIn: https://www.linkedin.com/in/shawn-marincas/
I'm a generalist with 20 years of professional experience covering more technologies than would make sense to list above, working most recently in a solution architect role. I'm actively seeking full-time employment in the NYC area, though I'm open to fully remote opportunities as well.
I work well with product and business stakeholders as a Solution Architect to define their problem with enough requirements and constraints to narrow the possible solution space to a set of best viable options. I also work well with implementation teams as a Senior Engineer to help properly implement a chosen solution, while still doing a fair bit of implementation myself.
I have many personal/academic interests that augment my professional experience pretty well, such as studying AI/ML in a Systems Science graduate program working on an explainable ML approach similar to log-linear models called "reconstructability analysis". I'd love to hear from any AI/ML companies that are looking to tackle the problem of AI explainability.
Anyone interested in speaking can reach me over LinkedIn or schedule a meeting via the Calendly link on my Resume page. Email and phone can be provided on request.