Aniruddha Basak
Staff Machine Learning Engineer at DoorDash
- Role
- Machine Learning Engineer at DoorDash
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Aniruddha Basak
At DoorDash Ads, I lead Ads Economy projects—building forecasting, pacing, dynamic pricing, and autobidding systems to maximize ROI for Consumer Packaged Goods advertisers.• Brought \"personalization\" to earner incentives (e.g. Boost) at Uber by utilizing driver elasticity signal, predicted by Multi Task Neural Network model. • At Meta, built Complex Entity Risk Tiering (CERT) to forecast the risk of Facebook groups and usersviolating integrity policies. CERT served as an essential signal for gating or limiting several Facebook features including Video group rooms, news feed ranking, or filtering top comments. • At Amazon, launched several smart features to improve safety and convenience of Smart Home customers - Hunches, Setup Hunches, and Alexa Smart Energy Dashboard. • Helping prospective candidates prepare for job interview with Interview Kickstart. • Served as a mentor in the MSIS program of University of Washington. • Won the Leo Finzi Memorial Fellowship award (2015/2016) in CMU.
Experience
Machine Learning Engineer
Jul 2024 — Present · Seattle, WA, US
Ads Economy for Consumer Packaged Goods (CPG)
Education
Jadavpur University
Bachelor of Engineering, Electronics and Telecommunication Engineering
2007 — 2011
Carnegie Mellon University
Doctor of Philosophy - PhD, machine learning
2011 — 2017
Skills
- Openmp
- Cuda
- Hadoop
- Machine Learning
- Algorithms
- Matlab
- C
- C++
- Numerical Analysis
- Computer Science
- Data Mining
- Distributed Systems
- Simulations
- Java
- Programming
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