Referenceable Projects. Business Outcomes. Human-Controlled AI Engineering.
Pepcus optimized repository readiness, Devin operating guidelines, and validation workflows to reduce AI agent compute usage by 20–25% across real-world enterprise engineering tasks, while maintaining implementation quality and delivery outcomes.
As AI accelerated engineering productivity, we modernized testing, deployment pipelines, database releases, and branching strategy — cutting a 6-week release cycle to 2 weeks (~3× faster delivery) with lower operational risk, in a HIPAA-compliant environment.
We combined Amazon Bedrock, serverless AWS services, and AI-assisted development workflows to rapidly deliver a secure reporting platform that reduced data-access friction and engineering dependency.
A critical billing platform supporting benefits administration was constrained by an on-premises, SQL-heavy .NET architecture with business logic embedded in stored procedures. We executed a phased transformation—migrating the platform to AWS, introducing managed cloud services to improve stability and performance, and establishing a microservices architecture powered by AI-assisted T-SQL-to-.NET modernization. The result was a scalable, cloud-native foundation that accelerated innovation while maintaining operational continuity and compliance.
Through AI-assisted engineering, we accelerated a 6-month modernization initiative by 5x, enabling new revenue-generating partner integrations while maintaining roadmap delivery for a large-scale HR compliance SaaS platform.
By combining Snowflake Cortex AI, semantic modelling, and governed data access, we enabled business teams to explore sales, revenue, and operational performance in minutes instead of waiting days for reports.
Using AI-assisted development, we upgraded a mission-critical healthcare platform from iOS 18 to iOS 26 and Swift 5 to Swift 6.2, reducing technical debt, eliminating dependency risk, and ensuring uninterrupted mobile access for after-hours patient care workflows.
Through a phased replatforming initiative, we transformed a legacy HR technology application into a cloud-native, API-first B2B SaaS platform on AWS. By adopting microservices, Kubernetes (EKS), OAuth-based security, and event-driven architecture, we accelerated partner integrations, improved platform reliability, and created a scalable foundation that supported over $100M ARR growth.
We transformed fragmented authentication, partner integrations, and data synchronization into a unified Identity and Integration Platform powered by OAuth, SAML, SSO, and reusable API frameworks. By introducing a Rapid Integration Framework (RIF), self-service onboarding, and standardized data exchange, we accelerated partner onboarding, strengthened security, and enabled scalable growth across a complex SaaS ecosystem.
We consolidated two legacy HR platforms by migrating over 50 million records from MySQL and PostgreSQL into a unified PostgreSQL-based SaaS platform. Using a phased migration strategy, Talend ETL, delta synchronization, and rigorous data validation, we unified customer identities, improved data consistency, eliminated duplicate systems, and delivered a seamless customer transition with Zero downtime and no data loss.