Rakesh M.

- Accelerated feature deployment velocity by 10x by architecting an advanced agentic development framework, drastically reducing time-to-market for core product capabilities. - Leveraged cutting-edge foundational models within an autonomous workflow to automate complex engineering asks and rapidly ship high-value features. - Designed and engineered robust agent harnessing systems, implementing strict guardrails and evaluation layers to guarantee deterministic and safe AI behaviors. - Mitigated operational risks and ensured product reliability by building continuous validation pipelines to audit agent-generated output against enterprise security standards.

Led development of ad solutions for 500M+ users. Designed and implemented a state-based architecture to improve code quality and app responsiveness. Worked cross-functionally with product, design, and data science teams to optimize features. Focused on performance tuning and scalability.

Managed a team of 5 Android Engineers building ads, promotions, and DashMart features for the Consumer app. Enhanced backend systems resulting in 5% increase in ad traffic and DashPass conversion rates. Led development of in-store scan feature for DashMart. Delivered $250k-$300k in annual net profits through effective leadership.

Led a team of 4 Android Engineers for LinkedIn Groups and Events. Transitioned from REST API to GraphQL and implemented dependency injection, reducing page load times by 20%. Rewrote legacy LinkedIn group code with modern Android tools, achieving 100% crash-free sessions. Optimized feature addition time by 50%.