First author on paper published in ACM SIGCOMM 2019

Modeled traffic routing in a software-defined network as a linar optimization that optimized for potential network failures similar to CVaR in financial portfolio optimization

Implemented with Gurobi linear optimizer in the Julia programming language and experiments plotted using python and gnuplot

Worked with Microsoft researchers in their cloud optimization group

Collaborated on the TEAVAR paper listed above and backed the analysis with real Microsoft network data

Worked as a masters student in the CSAIL Networks lab with Professor Manya Ghobadi while pursuing my degree in computer systems

Thesis project was related to routing traffic in a software-defined network

Abstracted a database query optimizer as a lambda function written in Java

Explored parallelizing the query plan search to more efficiently cover the search space and efficiently determine an optimal query plan

Wrote a paper discussing the trade-offs for having the query optimizer as a scaleable serverless function to reduce cycles on the database and cache sup-plans

Flexibile, reconfigurable software-defined network modeled as a linear optimization

Given instant network reconfiguration on traffic shifts, optimizes routing to minimize loss and congestion

Undergraduate researcher on PEV self driving car project

Built a job scheduling simulation server in Python using real taxi, hubway, and subway data in Boston

Integrated the simulation with open street map for visualizations

Experience researching in the field of computer networks with software-defined networks and network routing optimization

Interested in real-time distributed streaming technologies, peer to peer networks and service mesh frameworks in micro-service deployments

Experience with Oauth2.0, JWT authentication and API gateway services including Kong, AWS API gateway

Interested in best security practices in large microservice ecosystems to keep secrets synced securely and safely

Enjoy discussing API rate-limiting, authentication and access control

Experience with many databases in production queuing and streaming systems, and deep production knowledge with the following database systems, indexes and caches - Cassandra, Redis, Postgres, Solr, Elasticsearch, Memcached

Interested in distributed database consistency challenges including data replication and coordination as well as the tradeoffs between reliability vs performance and memory vs disk storage

Experience with containers and kubernetes deployments, exploring service versioning and api diff generation for catching regressions

Interested in service containerization, container orchestration, logging frameworks such as Grafana and Prometheus and CI/CD pipelines with automated testing

Experience with the latest web frameworks including React, NextJS and react state management tools and interested in the future of web technologies as we continue to build high powered clients

Interested in web assembly, webRTC, and other methods for more powerful client side applications and client side computing

Expert devevloping smart contracts on EVM and Solana and been following the movements of the blockchain space closely

Interested in how blockchain technology and various consensus algorithms can be used to sync data worldwide on a distributed ledger

Enjoy discussing trade-offs between databases, blockchains, new consensus mechanisms and other distributed ledger technologies

Various cross-functional social music projects exposed via core query API including social search, friends, friends are listening, social graph, and shared listening via facetime and shareplay

Music ML based audio features loudness, energy, acoustiness etc. BPM and key detection was a project that enabled more features like client smooth song transitions, partner integrations with Porsche, as well as the Photos memories project listed below

3rd pary and partner API JWT authentication, global and dynamic rate limiting used for all media integrations including App store, Music, Podcasts, TV+ on platforms like Samsung, LG TV, Porsche, Tesla and the third party API

I was the DRI (directly responsible invidual) for the photos memories music recognition cross-functional product - received a patent for the work use music ML data to inform transitions and match audio and photo filters locally on-device to a collection of photos

Podcasts data query API for serving first party apps on all platforms and partner integrations

Personal data store with data access API for giving generic applications limited access to personal data

Implemented Oauth2.0 + OpenID Connect as a set of microservices that together authenticate and authorize database reads and writes

Flexible translation layer that exposes database queries as an HTTP api that takes a POST request with an access token and raw DB query to execute with permissions

Deployed on a raspberry pi to serve as an home-owned password manager that connected via home wifi and an application can request read access to sync state or retrieve individual passwords

Web application with that used Apple Music, Spotify and Soundcloud APIs to create shared playlists and playlists including songs from multiple providers

React/Redux based front-end, Golang backend, and mySql database deployed entirely on AWS EC2

Serverside queues and websockets allow for clients to listen simultaneously and sync up playback, up-vote, down-vote and add new songs on the queue and receive real-time notifications

Won 2nd place in the MIT web design competition

Started an LLC in high school to fly drones and take photos of houses for real estate companies

Developed video editing, photo editing, graphic design, and communication skills