Led the transformation of the SailPoint Workflows product by optimizing product performance and scalability. Led the workflows product from 90 active workflow definitions to over 3,000 today, achieving 1300% growth in 2023, 464% YoY and 50% QoQ as of July 2024Spearheaded scalability enhancements to support 15,000,000+ quarterly workflow executions, ensuring a stable and seamless product experience for the fastest growing product in the Sailpoint portfolio. Utilized Jira Advanced Roadmapping tools in order to provide long term technical roadmaps which meet the organization’s OKRsAchieved significant career advancements for a team of 5 backend engineers through 1/1’s, coaching and tailored development plans. Promoted 2 SW2’s to SW3 and 1 Staff to Sr. Staff engineer within a 2 year time frame.Cultivated a high-performing, cross-functional team of 11 engineers across 5 time zones by fostering a culture of innovation, accountability, and empathy.

Championed agile methodologies and mentoring team technical leads which resulted in the successful growth and maturity of 5 teams and their respective roadmapsActed as Scrum Master, People Manager, Release Manager, Architect & JIRA guru for all 5 teams, while growing the 5 teams as mentioned above

Elevated project visibility and predictability by over 400%, through the introduction of roadmap planning and goal setting.Increased organization agility and teams from large, infrequent releases toward release trains every sprint

Standardized the interview process across 2 separate management chains by implementing standard practices and structured evaluation criteriaFostered cross-functional collaboration with Product Managers by incorporating them into agile ceremonies, leading to an enhanced understanding of team objectives and increased project delivery speedRaised the bar for code quality by mentoring team members and by providing timely and constructive feedback on pull requests

Developed a machine learning based risk reporting application that saved customers tens of millions of dollars per detected incident and significantly improved uptime of offshore oil rigsArchitected, implemented, and code reviewed for Sparkcognition’s core product, SparkPredictSuccessfully utilized modern software architecture principles to transition SparkPredict from a Python monolith to a microservices architecture, improving system scalability and reliability

Developed a machine learning based risk reporting application that saved customers tens of millions of dollars per detected incident and significantly improved uptime of offshore oil rigsArchitected, implemented, and code reviewed for Sparkcognition’s core product, SparkPredictSuccessfully utilized modern software architecture principles to transition SparkPredict from a Python monolith to a microservices architecture, improving system scalability and reliability