Amit Prakash

CEO

Saratoga, California, United States26 yrs 2 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in machine learning and data analytics.
Authored a widely used book on algorithms.
Led teams to generate significant ad revenue.

Stackforce AI infers this person is a highly skilled leader in AdTech and Search Engine industries, specializing in machine learning and distributed systems.

Contact

amit.prakash@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData AnalyticsDistributed Systems

Other Skills

AlgorithmsArchitectureArtificial IntelligenceBig DataC++Computer ScienceData StructuresGitHadoopHigh Performance ComputingInformation RetrievalJavaLinuxMapReduceMultithreading

About

I am passionate about problem solving, be it small fun puzzles or grand engineering challenges of the computing industry. For past 12 years I've worked on a number of engineering problems that include: High performance scalable systems Machine Learning Data Mining Advertising Data Analytics. In addition to the day jobs I've held, the most exciting project for me has been writing the Book "Algorithms for Interviews". Adnan (my PhD advisor) and I have been collecting interesting problems for over a decade which has gone into this book and I take great pleasure in the fact that thousands of engineers have already used it to improve their algorithms/problem solving skills.

Experience

A79.ai (rebranding as ampup ai)

Chief Executive Officer

Apr 2024 – Present · 1 yr 11 mos · Palo Alto, California, United States · On-site

Thoughtspot

Co-Founder

May 2012 – Present · 13 yrs 10 mos · San Francisco Bay Area

Google

Tech Lead

Aug 2007 – May 2012 · 4 yrs 9 mos · San Francisco Bay Area

At Google I lead multiple teams responsible for algorithmic improvements to the Ad Serving system. I worked on
Infrastructure for some of worlds largest distributed machine learning systems (probably by an order of magnitude)
Data analytics for Ads
Improving signals and algorithms for ad selection
low latency prediction server infrastructure
As a team of 5-8 engineers we were able to add hundreds of millions of dollars of incremental ad revenue every year through algorithmic improvements.

AlgorithmsData AnalyticsMachine LearningDistributed Systems

Microsoft

Software Engineer

Feb 2004 – Aug 2007 · 3 yrs 6 mos · Greater Seattle Area

I was one of the first few engineers to join the Bing team. I was primarily responsible for building the distributed system there that could load web graph and do PageRank like computations. We developed A Spam-resistant version of PageRank there. I was also responsible for the machine learning component in Bing's static page analysis, index selection and crawl prioritization.

Distributed SystemsMachine LearningPageRankStatic Page Analysis