endorsedOngoing

Embedded Scala & Elixir Engineering for Cancer Analytics Platform

Services Covered:

Staff Augmentation

Industry

Business Consulting & Services

Duration

81 months

Budget

200K - 999K

Start Date

1 November 2019

Team Size

6-10 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

81/100

Strong

Project Capability Score (PCS) estimates how capable SoftwareMill is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

United States of America

Project Summary

SoftwareMill provided staff augmentation to a cancer analytics company by embedding engineers into the client's engineering teams to implement features, build Scala and Elixir applications, and support ETL and QA processes. They worked in two-week agile sprints, participated in code reviews, and took ownership of tasks from specification through deployment. The client reports that the vendor's engineers operate like full-time employees and are highly integrated and performant.

Key Challenges

Implement applications to curate and analyze cancer patient data
Build reliable data ingestion, analysis and ETL pipelines for the analytics platform

Project Deliverables

Implemented features on the client's existing analytics platform
Scala applications
Elixir applications
Data ingestion and analysis pipelines
ETL (extract, transform, load) processes

Project Solution

Vendor engineers were embedded into the client's full-time engineering teams and worked as integrated contributors. They followed the client's agile two-week sprint process, wrote unit tests, participated in and contributed to internal code reviews, and took ownership of tickets from requirement clarification through implementation, testing and deployment. The team implemented numerous features on the client's analytics platform, developed Scala and Elixir applications for data ingestion and analysis, performed QA on ingested data, and implemented ETL processes.

Project Outcome

Integrated into the client's team and operated like full-time employees
Completed close to 200 deployments on the client's platforms
Produced extensible, maintainable code
Had zero performance concerns with vendor engineers

Platforms

AI/ML Platform
Embedded System

Tech Stack

Scala
Elixir

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Since the start of the engagement, SoftwareMill's performance has been high and consistently attuned to the client's needs. The client is pleased with their services and lauds them for their ability to write solid codes. Trustworthy and communicative, they're integrated well into the company's team.”
Brett Riotto
Lead Engineer, Cancer Data Analytics Company at Confidential
Date: 04/20/2026