Pre-sales and post-sales trusted advisor for the world's biggest technology and retail companies specializing in AI, Generative AI, AI Governance, Agentic AI, and Workflow Automation solutions.

• Successfully PoC'd AI Agent with enterprise creative software company to automate software requisition process.

• Enabled Fortune 500 technology companies to build, scale, and govern their AI and Generative AI solutions.

• Powered Fortune 10 retailer supply chain and product testing processes with Workflow Automation as liaison between support, services, sales, and product management.

• Facilitated Gen AI platform testing for enterprise client LLM-as-a-judge use case by managing cloud platform, creating documentation, and tracking usage.

Tutors were my lifeline when learning how to code, so I wanted to be the same for fellow Triton Data Scientists!

• DSC 20: Programming and Basic Data Structures for Data Science (Python) – tutored for 5 terms.

• DSC 30: Data Structures and Algorithms for Data Science (Java) – tutored for 1 term.

• Taught a total of 600+ students through weekly office hours and contributing to programming assignment creation.

1 of 20 fellows chosen out of 2k+ applications. Got me my 1st SWE experience and taught me so much about the startup landscape!

1st SWE and 1st startup experience. Allowed me to get my hands dirty and learn a lot of new skills.

Backend development on the Engineering team, wrote SQL queries and created visualizations for Product Managers/Leaders, and developed a basketball game statistics extraction program with the Automation (Data Science) team that became foundation for Gen AI workflow to deliver AI-generated game summaries to users.

My 1st ever internship that opened the doors for everything that has come after. Learned the art of storytelling through data and the importance of cross-functional collaboration. Worked on TE's Advanced Analytics team as part of the newly formed Data Science and Analytics Center of Excellence.

Some key accomplishments:

• Developed Python fuzzy matching algorithm for use in marketing model that increased accuracy 50pp, reduced manual work, and was adopted on 5+ projects.

• Analyzed forecast model results and presented to finance executives to promote deep-learning model implementation.