yameen sekandari
cs + ee at stanford university

about me

i try to build systems that take data, sensors, documents, recordings and turn them into something useful!

i focus on pipelines, dashboards, and product workflows that stay reliable.

experience

undergraduate researcher (advised by ph.d. student konstantin hossfeld)

stanford pervasive parallelism lab

january 2026 – present · stanford, ca

  • built a fast noc placement algorithm that minimizes congestion in spatial mappings, improving runtime efficiency
  • implemented a python constraint model capturing tile compatibility, unique ports, and traffic-demanded links

software and data intern

forum mobility

june 2025 – september 2025 · san francisco, ca

  • built nightly etl enriching 5,000+ fleet accounts with esg, compliance, and grant eligibility; synced outputs into salesforce
  • productized enrichment into routing and filters; drove 35% more qualified accounts weekly for outbound workflows
  • launched an auto-refresh incentives database tracking 300 climate grants via scraping with state and deadline search

recent work

rondo: ai music teacher for classical performance

python, fastapi, docker, midi, musicxml

a pipeline that ingests a score and recording, aligns performance through machine learning, flags mistakes, and recommends targeted drills.

see project

trump dump: market signal pipeline

typescript, aws, sqlite, selenium

real time ingestion and scoring that turns public statements into a 0 to 100 signal, classified into market verticals and mapped to likely tickers.

trumpsdump.com

get in touch

always open to interesting conversations, collaborations, and making music.

yameens [at] stanford [dot] edu