Shooting Star

What we do

Conventional outsourcers perform tasks. Gemini Solutions builds products.

Gemini Solutions teams follow a process that has been developed and honed over many years. Our approach encourages engineers to be proactive, understand our clients’ businesses, and drive projects to successful, on-time completion.

We create and execute plans for the entire product development lifecycle, mitigating risks along the way. We know how to get even the most sophisticated software development projects done right—from concept all the way through testing. We’ve been there many times before.


Our Services

We plan it with you
We build it with you
We work with you to enhance it
We add value to your organization

Technical Capabilities

The Gemini Solutions technical team has expertise in both back-end and front-end product development. We have a deep bench of talented software developers experienced in a broad range of technologies:

Cloud platforms: Google Cloud, Amazon AWS, Microsoft Azure

Mobile apps:

  • iOS (Swift, Objective-C, RxSwift, RxCocoa, ReSwift, Combine, SwiftUI, Server Side Swift - Vapor/Perfect, CoreML, Realm, tvOS, watchOS)
  • Android (Kotlin, Java, RxJava, RxKotlin, NDK, Coroutines, Android Jetpack, Android Auto, Android TV, Android Wear, Android Custom ROM, Android Customization)
  • Others (React Native, Xamarin, Flutter, Tensorflow lite, Firebase ML, FireStore, iOT, Bluetooth integrations)

Secure, high-reliability big data applications: Scala, Python, Hadoop, HDFS, Spark, Spark Streaming, Storm, RabbitMQ, Mahout, Amazon RedShift, Hive, Kafka, Google DataProc, Google DataFlow, Google BigQuery, Google BigTable, Google Pub/Sub, Apache AirFlow

Serverless: Google Cloud Functions, AWS Lambda

Data Science: Python, R, Scala, Spark, Hadoop, Hive, Tensorflow, Scikit-learn, Pandas, Keras, PyTorch, NumPy, AWS, Azure, Google Cloud Platform: BigQuery, AI Platform: JupyterLab, Airflow DAGs

AI & Machine Learning:

  • Tools & libraries: Scientific computing, Data analysis and manipulation, Visualization (Matplotlib, Seaborn, GeoPandas), Deep learning
  • Machine Learning: clustering, text summarization, topic extraction, data preprocessing

IoT: Google Cloud IoT, AWS IoT, BlueMix, IBM Watson IoT, MQTT

Enterprise applications: .NET, .NET Core, WebApi, WPF, WCF, ASP, ASP.MVC, J2EE, Spring, Hibernate

Client-server systems: REST, SOAP, Pub-Sub model, load-balancing, fail-safe configurations, distributed computing

Web-based applications: ASP MVC, Node.js, Ruby on Rails, Scala Play, Symfony, Laravel, Django, HTML5

JavaScript frameworks: Angular, React, Vue.js, Ember.js, ExtJS, jQuery

Design/Layout systems: Bootstrap4, Material

Additional JS frameworks: GraphQL, Redux, E2E testing

Serverless apps (backed-up by): Firebase, Docker, Heroku

Database design and optimization: Oracle, MS SQL Server, PostgreSQL, MySQL, MariaDB and NoSQL databases (Cassandra, Couchbase, CouchDB, MongoDB, Druid, Vertica), GraphQL

Monitoring & Devops Tools: Kubernetes, Chef, Ansible, Puppet, Graphite, Grafana, Kibana, Logstash, Marathon, Mesos, Sentry, Nagios

QA frameworks and tools: Selenium, Appium, Robot Framework, Locust, TestNG, JMeter, Charles, Fiddler, Cypress, RSpec, Cucumber, Proprietary in-house test framework

Embedded applications and firmware: Various cross-compiler/toolchains, Android, Linux, Windows


  • Stellar: Horizon API, Multisig Transactions
  • Ethereum: Smart Contracts: Truffle, Solidity


  • Platforms: PIC, STM, ESP 8 / 32 bit RTOS
  • Protocols: I2C, SPI, USART, I2S, CanBUS, ModBUS

Other: VR, XR, AR