Rajlaxmi .

Machine Learning Engineer @ Google

About

I am a software engineer for ad auction models quality team at Google. My research interests include applying LLMs to reasoning and mathematics, alignment, and multimodality. My daily work involves pCTR modeling, building better ad recommendation systems by user behaviour prediction and promoting user and advertiser satisfaction. I blog sometimes: https://rajlaxmi.github.io https://mindsx0fmachines.substack.com/

Country

United States

City

San Francisco

Industry

Internet

Skill

Natural Language Processing (NLP), Machine Learning, C++, Algorithms, Python, Linux, MySQL, Computer Science, Data Structures

Experience

Machine Learning Engineer

Google

2020-2 - Present · 6 yrs 8 mos

Mountain View, California, United States

* Collaborator - Paradigms of Intelligence Team. Working on novel algorithms. https://github.com/paradigms-of-intelligence * Ads Auction Models - Ranking ads, predicting CTR, Conversion rate.

Research Associate - NLP

Indian Institute of Science (IISc)

2019-3 - 2019-12 · 10 mos

Conducted research on language grounding, relation extraction and graph neural networks.

Strategist

High Frequency Trading

2015-6 - 2018-9 · 3 yrs 4 mos

Designed and Implemented Order Routing Systems capable of executing trades on Japan/Korea stock exchanges in micros and nano-seconds. Experimented with optimizations at software and OS level to reduce latency. Built scalable infrastructure on cloud to scale modeling strategies. Skills: Operating systems, Networking, C++.

Education

Indian Institute of Technology, Bombay

Computer Science

Linear Optimization, Probability and Random Processes, Discrete Structures, Data Structures and Algorithms, Network Security and Cryptography, Program Derivation, Computer Architecture