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Hire Digital matches you to the best Semantic Kernel engineers on demand. Our talent has to pass a rigorous screening process at Hire Digital, to work on your most important projects.
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Richard Ball

Semantic Kernel Engineer
Principal data scientist at Kinetic.
Experience leading the machine learning competency, which involves scoping machine learning problems and driving project adoption, deploying and managing fraud detection and NLP models in our production machine learning infrastructure on AWS, and building a new infrastructure for production machine learning using Spark and MLflow.

Nikhil Sharma

Semantic Kernel Engineer
Proficient in Kubernetes, Terraform, LLMs, and LangChain Run.
Full-stack Flutter developer with 5 years of Flutter and 6 years of programming experience, building web and mobile applications

Sean Carnahan

Semantic Kernel Engineer
Software engineer at Experian.
Sean Carnahan is a Flutter developer with experience in Flutter, Dart, GCP, and Firebase. He has built FantasyFunds, a Flutter app for iOS that allows players to trade stocks and invest in funds in a fantasy league setting. Sean is also a software engineer at Experian, where he has architected the Bill Negotiation product and developed personal financial management tools and the original POC for Experian’s CMS. His technical skills also include JavaScript, Typescript, Java, Python, Swift, AWS, React, Jira, JSON, Splunk, Datadog, RESTful services, AJAX, Bash/ZSH, Git, NumPy, Pandas, LaTeX, SSH, Jenkins, CUSP, HTML, CSS, and SCSS.

Peter Faasse

Semantic Kernel Engineer
Former data science manager for Career Analytics.
As a data scientist, Peter Faase has expertise in solving complicated data problems and working with Big Data to generate useful insights, intelligence, and applications. Combining his strong communication, presentation, and analytical skills, he has created data-driven solutions for organizations by designing and running complex data analyses trajectories using machine learning, predictive analyses, Artificial Intelligence (AI), and other statistical and mathematical techniques. He is skilled with tools such as Python, MySQL, SPSS, and Excel and also familiar with Agile Scrum techniques.

Patrick Casey

Semantic Kernel Engineer
Former Senior Software Developer at Shopify.
Patrick Casey is a technical leader and full-stack engineer with 9 years of hands-on experience creating microservices, APIs and web applications. He possesses a broad knowledge of web and Microsoft technology stack, including PHP, JS frameworks, .NET. While he is working in several companies as a core engineer, he has learned how to deliver critical and highly available software systems, and secure, and lead technical teams, by creating an easy development environment, fixing technical debts, providing the best codes and mentoring dev. Patrick was also a senior software developer at Shopify, where he developed a Django app integrated with the Jira platform and a slack bot for knowledge discovery.

Sean Boland

Semantic Kernel Engineer
Proficient in OpenAI, AWS, Kubernetes, and Terraform.
Experienced software engineer with a focus on server-side development, DevOps engineering, and server maintenance. Skilled in front-end development using modern JavaScript frameworks. Worked in various industries including FinTech, Education, Healthcare, Community, and Social Media.

Karen Blanco Gomez

Semantic Kernel Engineer
Skilled in prompt engineering and generative AI.
Audio engineer with 13+ years of industry experience, specializing in Prompt Engineering and utilizing AI-driven tools for content writing.

Judson Terrell

Semantic Kernel Engineer
Worked at Cadient and Cognizant.
Judson Terrell is a web application and ionic developer expert specializing in User Interface Design and server-side and database development in various languages. During his startup, he developed applications for the capital markets division with Wells Fargo. Stakeholders used the applications to evaluate data within the company for the quarterly report. Judson is skilled in Angular, UI Design, Full Stack Development, and JavaScript.
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Frequently asked questions

Hire Digital connects companies with talent in marketing, digital, and content creation. We curate our expert network through a rigorous screening process, where members are evaluated for their technical skills, work experience, and their problem solving and communication skills.
We’ll match the best talent for your needs based on the required skills, expertise level, project size, budget, language, geography, experience, and other criteria. A decision is made by our experts with the help of AI-based algorithms. Only 3% of the talent we vet are accepted to our network - hence you can be assured of the quality.
Hire Digital provides satisfaction guarantees for its clients. If the talent does not perform up to your standard, Hire Digital will provide a talent replacement.
Tell Hire Digital your requirements and talent needs, or let us know by registering here. Our talent specialists will curate and find you the most relevant match. You can interview your talent and start work immediately.
Companies typically take between 24 to 72 hours from the time when they inform Hire Digital of their talent needs, to start working with their matched talent.
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