Created an LLMOps Tool for AI Cost Optimization: Founded and developed Calibrtr, a DevOps tool specifically designed to help companies identify, track, and minimize AI-related costs. Developed tools: eg cost estimator for AI observability (https://calibrtr.com/tools/cost-estimator), learning visual design theory in the process.Tech Stack: React, Typescript, Next.JS, Python, Firebase, GCP

Strategic salary transparency initiative: Led a critical cross-functional project to increase job postings with salary information by 15%, collaborating with a Product Director based in San Fransisco. This initiative was key to Indeed’s strategy, as enhanced salary transparency directly correlated with increased job applications, driving higher revenue. Coordinated efforts across 40+ contributors from different time zones, demonstrating strong leadership and effective global team management.Expert in Navigating Complex Situations: Leveraged strong interpersonal and negotiation skills to manage difficult performance and compensation discussions, ensuring fair outcomes while maintaining team morale. Managed challenging stakeholder relationships across different departments and geographic locations, aligning with strategic objectives.Developed and Led Senior Manager Mentorship Program: Established a mentorship program focused on upskilling junior managers, providing scaled training and guidance to 23 people on the behaviors and skills necessary to advance to senior management roles. The initiative strengthened the leadership pipeline within the wider organizationTech Stack: Java, React, Typescript, Next.JS, Python, AWS

Led development of Search System for Mid-Career Education: Led the design and development of a search system capable of dynamically ranking and filtering courses based on certification-specific criteria and user-provided review scores. The system extracted valuable information from mid-career education provider websites, enabling Indeed to offer education course information to its users. Guided a team through the technical implementation, significantly improving the relevance and quality of search results for hundreds of thousands of users.Led Product during PM Director vacancy: Took on additional responsibilities as both product and engineering leader while the product leadership role was unfilled. Partnered closely with several Product Directors concurrently to ensure seamless project delivery, strategic alignment, and successful execution of key initiatives. Demonstrated adaptability and cross-functional collaboration, driving projects to completion despite resource constraints.Tech Stack: Java, React, Typescript, Next.JS, Python, AWS

Directed efforts to improve salary estimation models, reducing operational costs and model errors.Led a Senior Development Engineer in Test to implement push-on-green deployments with canary tests and slow rollouts.Tech Stack: Java, React, Typescript, Next.JS, Python, AWS

Integrated and optimized complex financial models into production environments.Tech Stack: F#(.net), C++, Java, WPF, COM

Managed global Quant Strats - Pricing Tools Team, with 15 individual contributors, responsible for developing and supporting a cross-asset trade pricing application used by over 800 users worldwide.Tech Stack: F#(.net), C++, Java, WPF, COM

Integrated Quantative models into risk and pricing system (C++). Developed the next generation interest rate and hybrid structuring tool whilst working on the legacy system (Java).

Wrote a overnight risk system batch scheduler, scheduling several thousand batch jobs per night. Improved the efficiency of the overnight processing by 20%, whilst also reducing maintenance costs.