Teams at Sparq

Designs, develops, and maintains automated testing solutions across non-production and production environments. Integrates automated workflows with Jenkins and CI/CD pipelines, performs API testing with Postman Enterprise, validates databases using SQL, and supports JSON/XML-based orchestration. Collaborates with Java and C development teams to investigate defects and improve test coverage. Provides technical leadership, mentors colleagues, promotes automation best practices, and helps integrate AI tools into daily engineering workflows.

Designs, builds, deploys, evaluates, and optimizes production AI systems, including RAG pipelines, agentic workflows, and model integrations. Uses Python and cloud platforms to deliver scalable solutions, establishes quality and monitoring frameworks, addresses responsible AI and security concerns, and manages cost-performance tradeoffs. Serves as a senior technical client advisor, supports discovery and presales, mentors engineers, researches emerging AI technologies, and develops reusable accelerators.

Lead development of production-grade Flutter and Dart mobile applications, focusing on offline-first functionality, local persistence, background synchronization, conflict resolution, performance, and reliability. Develop shared offline capabilities, testing strategies, and data safeguards across applications. Provide technical leadership through code reviews, troubleshooting, mentoring, and client-focused solution delivery while supporting AI tool adoption.