Build and ship end-to-end features for high-load backend services and integrate AI-powered features into product workflows. Collaborate with cross-functional teams to improve system architecture, performance, and reliability for AI-driven productivity tools.
Design and build a scalable performance testing framework to simulate real-world workloads and identify system bottlenecks. Integrate performance validation into CI/CD pipelines and collaborate with engineering teams to drive system improvements.
Develop and maintain a large-scale test automation framework in collaboration with engineering teams. Integrate automated tests into CI/CD pipelines and implement AI-assisted workflows for test generation and review.
Develop document-processing pipelines and autonomous AI agents using LLMs and agentic workflows. Build and optimize Python microservices for document ingestion, classification, and extraction while ensuring system reliability and cost-efficiency.
Lead a cross-functional engineering team to build a data processing platform featuring OCR and AI-based extraction. The role involves owning technical direction, managing the roadmap, and balancing hands-on architecture with stakeholder communication.
