Building hosted Model Context Protocol servers

• Design, develop, and launch new features in Java codebase for REST and SOAP platform enterprise APIs for 15% month over month growth with 7+ billion transactions daily.

• Implement fixes and automated tests for complex trust bugs to maintain 99.90+% availability and other service ownership metrics for 500k+ enterprise API customers.

• Build and ship new underlying parser for Salesforce Object Query Language using ANTLR after

verifying 99.99% accuracy on custom validator to avoid negative customer impact during rollout.

• Designed and built features using JavaScript, Python, Heroku, and PostgreSQL to automate process for detecting anomalies in Salesforce products, reducing performance team’s engineering time by 30+%.

• Analyzed and predicted root causes of workload regressions and achieved overall accuracy of 95+% with gradient boosting on decision trees model, increasing workload performance in 1/3 analysis time.

• Migrated engineering team’s 15+ backend databases to PostgreSQL for greater integration with Heroku.

TalentBridger is an online platform to bridge the communication gap between students and recruiters at companies by allowing students to showcase their intangible skills and talents to companies with a series of games and simulations.

• Researched and developed React/Flask/MongoDB platform designed to display a variety of data visuals for consolidated analyses of individuals’ behavioral traits through various APIs and gamification exercises.

• Attained registrations and interest from individuals from 50+ universities during beta launch.

• Awarded Best Use of Qlik Core’s Data Visualization API and invited to participate in inaugural Techfair showcase and Cal Hacks’ Fellowship Accelerator out of 200+ teams in UC Berkeley’s hackathon.

• Contributed to core React/Node/MongoDB codebase by modifying and improving messaging, matching, and searching features, resulting in increased customer satisfaction and user growth of 10+% per month.

• Designed and developed patent-pending relational website with machine learning algorithms to generate leads and assist potential customers through an 4x expedited matching process.

• Assisted with launch of redesigned website landing pages on AWS, leading to increase of visitors.