Redesigned revenue sharing mechanism at protocol to be transparently shared across multiple recipients

Implemented social features including username generation and leaderboards

Enabled Cosmwasm on dYdX and worked with 3rd parties to provide functionality for integrating their contracts

Extended the machine learning platform by creating a job execution service which increased number of jobs which can be run at

Data engineered and deployed several ML models giving personalized recommendations to millions of users in several countries

Re-engineered critical machine learning pipelines using AWS step functions which reduced time by 50% and cost by 90%.

Led effort to implement a pricing engine which uses reinforcement learning to update client prices for the customer.

Led effort and designed integration points with external partners along multiple channels.

Managed internal and external stakeholders to align on business outcomes and designed systems to achieve those outcomes.

Developed and tested cloud solutions enabling the team to turn on/off app features remotely.

Led effort to completely revamp core orchestration of Alexa UWP app. Provided technical direction and overall designs which

Revamped the entire audio input mechanism for Alexa UWP app which led to decrease in User Perceived Latency (UPL) by up to 50%.

Designed and developed audio pipeline for a new Alexa application which multiple partners are going to utilize.

Mentored and evaluated intern to successful completion of project.

Designed and developed the machine learning model deployment framework, allowing users to deploy models on the platform

Collaborated with partners to integrate their machine learning models with the AI platform.