Served as Product Manager partnering with external chains, CPEs, engineering, documentation, and customers to deprecate 7 legacy test chains and launch 4 more scalable, cheaper test chain replacements across all product surface areasSupported 400+ enterprise customers with Alchemy-related web3 issuesRevamped CPE on-call success metrics (previously only customer response time) and defined team success by building and rolling out dashboards for monitoring number of open tickets, time to resolution, response time, response time outliers, and CSAT scores. Improved company-wide visibility into CPE responsibilities breadthImproved CPE efficiency through solving systematic lack of follow up with customers; convinced the automation team to develop a formal ticketing and feedback system. Coordinated system deployment company-wide. Through data analysis, originally discovered this lack of followup with customers as a problem areaAdministered and analyzed customer survey of 600 participants to help define 6 month roadmap across all products at the company

Oversaw all post-sales customer interactions with startup's 4 customers as the only Customer Engineer; defined customer's roadmaps to maintain Gantry product engagementDrove Gantry's product roadmap internally, as I best understood customer needs and requirements. Proposed to and convinced engineering leadership of appropriate feature and bug prioritizationCollaborated closely with 10 person engineering team, 2 person product team, and 3 person sales team to ensure alignment on product direction and value proposition as Gantry established product-market fitSpearheaded technical documentation by writing all 15 technical documentation pages and constructed 3 published tutorials

This is the same role as below, but my title changed since my team focuses mostly on open source sdks

Joined as the sole owner of the nodejs-storage client library (2 million weekly downloads)https://www.npmjs.com/package/@google-cloud/storage -- Improved reliability by landing critical library improvements such as implementing automatic retries taking into account idempotency and conditional idempotency considerationsInfluenced the product design and roadmap by presenting monthly to engineering and product management directorsOnboarded multiple teammates, including a future Node.js TL who was at a higher levelDirected feature launches by coordinating across 8 supported languages and authoring sample code & documentationTriaged and resolved 100+ feature requests and bugsEngaged 50k Cloud Storage developers via Cloud Blog and Medium blog postsExamples: https://cloud.google.com/blog/topics/developers-practitioners/improving-availability-your-cloud-storage-automatic-retries-client-librarieshttps://cloud.google.com/blog/topics/developers-practitioners/optimize-cloud-storage-upload-performance-client-librarieshttps://medium.com/google-cloud/bypass-the-cloud-run-32mb-limit-with-cloud-storage-65c24156189Gave conference talks: https://www.youtube.com/watch?v=J94qsRf4bsA&t=29sBuilding a strong partnership with the technical writing team to develop docs and samples that make sense for customer user journeys

Led a team of 10 customer developers to design, develop, and deploy AI-based enterprise applications for both sourcing price optimization and energy management on the C3.ai platformCollaborated cross-functionally with 10 customer developers, 2 PMs, and directors as well as internally with PMs, software engineers, executives, and delivery managersIdentified 10+ technical risks and gaps with customer apps; devised mitigation strategies in anticipation of customer needsRecommended application code improvements in regards to performance, scalability, and reliabilityInterviewed future hires weekly; recruited Forward Deployed Engineers via LinkedIn

Served as Machine Learning TL, leading 2 others through designing and prototyping a tool to reduce the amount of time it will take to preflight a flight test airplane by 50%Used the multilayer perceptron algorithm to create an autoencoder via deep neural networkPerformed anomaly detection on multidimensional time series dataGave multiple tech talks on neural networks, autoencoders, and machine learning

Taught a group of 18 refugees (ages 18- 42) about good coding practices by designing an architecture of coding course based on MIT's Software Construction class (6.005/6.031). Mentored a group of four refugees through a MakerLab using Arduino.Served as a teaching assistant for MIT's OpenCourseWare Introduction to Computer Science course.

Reduced client debug time by over 300% by:Devising an algorithm in C# to parse and analyze GE’s own coding language to determine if and when SmartSignal alerts will fire,Creating and manipulating an abstract syntax tree to organize information returned from a parser,Designing and developing a .NET cloud based service to expose my algorithm’s functionality to the user, and leveraged established cloud platform to allow for reliability and secure endpoints.Followed Agile software development practices.

Built and executed test cases in Java for the Edit Related Records API.Planned a new email error system for Webhooks by working collaboratively with a team of four and a product manager.Followed Agile software development practices.

Designed and constructed a novel drivetrain for amphibious vehicles. Worked in partnership with teammates from the United States and Singapore.Delivered within 2% of a $2000 budget and two month deadline.Presented design, construction progress, and final product to a panel of executives and investors.

Collaborated with teammates to create a Rube Goldberg kit that that will promote equity in STEM competitions across Connecticut.Worked within a budget and deadline.Designed kit aiming to maximize reusability and efficiency.

Worked in a team to develop a medication-reminder mobile application.Showcased the application to a panel of executives.Marketed the application to local medical professionals.