Shiraz Zaman

Founder

San Francisco, California, United States19 yrs 7 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Pioneered advanced ML techniques at Lyft.
Developed state-of-the-art ML models at Microsoft.
Founded Nand AI to innovate AI agent technology.

Stackforce AI infers this person is a SaaS and AI expert with a focus on machine learning and optimization.

Contact

shiraz@nand.ai LinkedIn

Skills

Core Skills

Machine LearningAi

Other Skills

Agile MethodologiesAlgorithm DesignAlgorithmsCC++Computer ScienceData StructuresDebuggingDistributed SystemsGraph EmbeddingMultithreadingObject Oriented DesignPeople ManagementProject ManagementReal-Time ML

About

At Nand AI, I am developing the building block for AI Agents that solves the critical problem of accuracy and completeness. Previously I led machine learning at Lyft where I developed ML platform powering optimizations across Pricing, Dispatch, ETA, Incentices, Fraud among others automating the bulk of the data science and ML engineering work. At Microsoft, I pioneered Embeddings and Knowledge Graph based optimizations for Query Document Relevance at Bing Ads and developed the first streaming Data and ML platform for Ad Serving

Experience

Nand ai

Founder and CEO

Oct 2023 – Present · 2 yrs 5 mos · San Francisco, California, United States · On-site

Seed/series a startups

Advisor

Jul 2021 – Present · 4 yrs 8 mos · San Francisco Bay Area

Lyft

2 roles

Head of Artificial Intelligence

Promoted

Jun 2020 – Jun 2023 · 3 yrs · On-site

Led the team of ML Engineers to solve rideshare problems with advance ML and AI. Built LyftLearn, slashing time to experiment from 6 months to 1 months, LyftLearn is the state of the art developer studio for rapid prototyping, experimentation and 1 touch deployment of most complex models to serve and continuously monitor Lyft Ride share models. Pioneered Graph Embedding, ReinforcementLearning, RealTime ML for marketplace optimizations.

Machine LearningAIGraph EmbeddingReinforcement LearningReal-Time ML

Tech Lead AI Engineering

Jun 2019 – Jun 2020 · 1 yr · On-site

Microsoft

3 roles

Principal Applied ML Scientist

Jul 2015 – Jun 2019 · 3 yrs 11 mos

Developed state of the art Machine Learning models to improve Search Ads Relevance

Senior Engineering Manager

Promoted

Aug 2012 – Jul 2015 · 2 yrs 11 mos

Developed distributed data platform to scale advertiser data ingestion, transformation, partitioning and replication in real time bridging the gap between SQL and No-SQL stores. The product is used across several organizations handling big data storage, transformation and retrieval in cost effective and scalable manner and is now integrated to SqlAzure

Software Engineer

Jan 2009 – Aug 2012 · 3 yrs 7 mos

Scaled Bing Ads delivery stack to billions of searches per day extending native internal cloud infrastructure

Navajo games

Co-Founder and Software Engineer

Jan 2008 – Jan 2009 · 1 yr · Bengaluru, Karnataka, India

Real time interactive facebook game app

Ibm

Researcher

Jan 2007 – Sep 2008 · 1 yr 8 mos

Developed efficient algorithms to test processor components ( PowerPC ) thoroughly in as few
test cases as possible thereby reducing the total time taken to test a processor from the perspective of logic, arrays,
buses and power management.