Technology Practices

We know what we do, how we do it, and most importantly, why.
Through well-thought-out methods and client-driven goals, we are proud to excel in:

AI Engineering

AI Engineering combines machine learning expertise with software engineering best practices to build, deploy, and maintain production-ready AI systems. Our AI Engineering practice enables organizations to harness the power of artificial intelligence through reliable, scalable, and ethical AI solutions. Key functions include:

  • Designing and implementing machine learning models and deep learning architectures for various use cases.

  • Building end-to-end ML pipelines including data preprocessing, feature engineering, model training, and evaluation.

  • Integrating Large Language Models (LLMs) and Generative AI solutions into business applications.

  • Implementing MLOps practices for automated model training, testing, and deployment.

  • Optimizing model performance, latency, and resource utilization for production workloads.

  • Ensuring responsible AI practices including bias detection, fairness, explainability, and ethical considerations.

  • Collaborating with data scientists and domain experts to translate business requirements into AI solutions.

Technologies

In delivering value to our clients, we have developed competencies across a wide range of technologies and platforms, including:

  • Java (EE, Spring)
  • Python
  • Scala
  • Node.js
  • .NET & C#
  • C / C++
  • Docker, Kubernetes
  • Cassandra, RethinkDB
  • Kafka, Spark, Flink, Solr
  • Selenium, WebdriverIO, Cypress, Playwright, Espresso, XCUITest

  • Oracle, SQL Server, PostgreSQL
  • GraphQL
  • Angular, Angular 2
  • React, Redux
  • Backbone, Knockout
  • React Native, Ionic
  • Big Data querying tools (HiveQL, SQL, specialized DSLs)
  • Salesforce
  • Spock, JUnit, Cucumber, Mocha, Chai, CucumberJS, Specflow
  • k6, Gatling

Let’s connect

Looking to integrate talented tech professionals to your team? Schedule a meeting or send us a brief via our contact form.​

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