Ameya Kanitkar

Co-Founder

San Francisco, California, United States20 yrs 3 mos experience
Highly Stable

Key Highlights

  • Expert in building scalable data infrastructure.
  • Led engineering teams across multiple time zones.
  • Strong background in AI and data analytics.
Stackforce AI infers this person is a SaaS and AI infrastructure expert with a focus on scalable data solutions.

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Skills

Other Skills

JavaUnixAlgorithmsAgile MethodologiesMapReduceMySQLRESTLinuxData StructuresHiveScrumMessage BrokerMessage QueueNoSQLSaaS

About

I specialize in delivering practical solutions to hard technical challenges. I am a builder at heart. I know how to attract top tier engineers, build solid engineering teams, execute efficiently and deliver operable systems at scale. I have led managers and engineers across multiple engineering offices in different time zones Linkedin: Leading the platform teams responsible for creating highly scalable data, derived data, and infrastructure services that manage the entire lifecycle of Linkedin’s analytics infrastructure as a service. The team provides a powerful operations ecosystem that manages complexities of the multiple distributed systems underneath such as Hadoop, Spark, and Pinot. We operate at a massive scale powering close to 3000 critical feeds, managing multi-petabyte data lake, and consuming almost third of all of Linkedin’s offline compute capacity. The platform serves mission-critical systems such as targeting, machine learning experimentation, core data science and analytics and executive control plane. Groupon: Built several systems and teams from scratch: 1. Scalable and reliable distributed messaging infrastructure 2. Scalable User Store with HBase for all user interactions for over 100M+ users 3. Data Infrastructure for relevance & personalization 4. Improved Groupon's product with data powered "Trending" deals 5. Real time data infrastructure and analytics batch infrastructure for the entire company Conference Speaking Engagements: HBaseCon 2013, San Francisco - http://www.slideshare.net/cloudera/case-studies-session-3b Big Data Conference, Boston 2013 No SQL Road Show, Zurich 2013 - http://nosqlroadshow.com/nosql-zurich-2013/ Web Expo, Prague 2013: http://webexpo.net/prague2013/talk/using-hadoop-and-hbase-to-personalize-web-mobile-and-email-experience-for-millions-of-users/ Strata Europe Nov 2014 - http://conferences.oreilly.com/strata/strataeu2014/public/schedule/detail/37339 NoSQL Matters Barcelona, Nov 2014 Berlin Buzzwords, June 2015

Experience

20 yrs 3 mos
Total Experience
3 yrs
Average Tenure
1 yr 3 mos
Current Experience

Larridin

Co-Founder & CTO

Feb 2025Present · 1 yr 3 mos · San Francisco Bay Area

  • Larridin is the AI ROI Measurement Platform for enterprises that want clarity, not guesswork.
  • We give leaders visibility into how AI is actually used, measure employee proficiency, and quantify real business impact — so AI investments become accountable, optimized, and tied to outcomes.
  • We measure AI. You unlock ROI
  • We are hiring for Software Engineering & AI Engineering Roles.
  • Enterprise B2B AI Space. Backed by a16z, Bloomberg Beta & Gradient (Google)

Coinbase

2 roles

Head of Engineering, Consumer Trade Product

Promoted

Jul 2022Feb 2025 · 2 yrs 7 mos · San Francisco Bay Area

  • Support 50+ engineering org that powers Consumer Trade Product Org. Responsible for products generating majority of Coinbase revenue and retail traffic. Teams include: Retail Trading experience, Asset Discovery, Market Insight, Portfolio Management, Home Feed & App Architecture and overall Retail App Infrastructure,

Senior Engineering Manager, Growth

Oct 2020Aug 2022 · 1 yr 10 mos · San Francisco Bay Area

  • Lead a 30+ strong engineering team focusing on core Growth which includes
  • Growth Acquisition: Responsible for building products and experience that will grow the top of the funnel for Coinbase. This means that we'll help hundreds of millions of customers discover Coinbase through any means possible. Working on exciting areas from NFT’s, Tokens internationalization & Marketing Tech platform etc!
  • Growth Communications Platform and Infrastructure: Notifications and Communication/ messaging forms a core pillar of Growth Engineering will power the next 100 million users to crypto-economy. This team operates at massive scale combining expertise from distributed systems, mobile application engineering to latest techniques in AI/ML & Crypto.
  • Growth Promotions & Incentives Platform - We are building platforms and features to provide simple incentive and promotion solutions to internal and external customers. This is a critical pillar in driving millions of new users and bringing in billions of revenues. We are also developing distribution partnerships to drive consumer growth, interfacing with major technology partners (financial, phone manufacturers, search engine) worldwide.

Demandhelm

Advisor & Seed Investor (acquired 2021)

Apr 2019Sep 2021 · 2 yrs 5 mos

  • (Acquired October 2021)

Linkedin

2 roles

Head of Unified Data Analytics Platform

Promoted

Aug 2018Oct 2020 · 2 yrs 2 mos

  • Leading the platform teams responsible for creating highly scalable data, derived data, and infrastructure services that manage the entire lifecycle of Linkedin’s analytics infrastructure as a service.
  • Our customers include mission-critical activities such as LinkedIn site-wide A/B testing, machine learning, core data science, executive analytics, product analytics and critical in-product analytics across multiple multi-billion dollar enterprise businesses. We operate at a massive scale managing multi-petabyte data lake and consuming almost a third of all of Linkedin’s offline compute capacity. Over 1500+ data scientists, data engineers, ML engineers use the platform on a daily basis to build insights from data.

Engineering Manager, Hadoop Developer Productivity Teams

Jan 2017Aug 2018 · 1 yr 7 mos

  • Responsible for improving Hadoop developer's productivity at Linkedin. The portfolio included managing various Hadoop productivity teams such as Workflow Engine (Azkaban), Dr. Elephant (performance monitoring and tuning tool for Apache Hadoop and Apache Spark), Hadoop metrics pipelines, Linkedin’s internal Jupyter Notebook, and various other legacy analytics applications.

Groupon

3 roles

Lead, Real Time Big Data Infrastructure

Jan 2015Jan 2017 · 2 yrs

  • Building scalable foundation of clean data across Groupon. Involves building real time data pipeline to power billions of events across several terabytes of data per day. Also building scalable big data analytics columnar store for easier batch access.
  • Technologies: Spark, Spark Streaming, Hadoop, Storm, Kafka, Parquet, Hive, Redis etc

Engineering Manager, Relevance & Personalization Infrastructure

Promoted

Nov 2013Jan 2015 · 1 yr 2 mos

  • Lead group of engineers to build scalable and distributed large scale data infrastructure to deliver personalized and relevant deals across Groupon's web. mobile and email platforms. The system builds and computes hundreds of terabytes of data to deliver personalized experience for Groupon's hundreds of millions of users across the globe.

Big Data Infrastructure Engineer - Relevance

May 2011Oct 2013 · 2 yrs 5 mos

  • Deal Personalization Technology Infrastructure @ Groupon.

Liveops

2 roles

Sr. Software Engineer - Platform

Apr 2010May 2011 · 1 yr 1 mo

  • Building real time statistics service using complex event processing engine - Java, OSGi, Glass fish, JAX RS, Postgres

Software Engineer - Platform

Feb 2009Apr 2010 · 1 yr 2 mos

  • LiveOps is a cutting-edge SaaS platform revolutionizing the world of "virtual work". My work at LiveOps include building and designing automation for intelligent routing system. This includes building deep knowledge and expertise in VOIP back end platform for a highly scalable industry leading SaaS offering.
  • I am also looking into various business scenarios and pricing systems to optimize revenue and cost. Won runners up award for "Best Revenue Generating Idea" of Q3' 2009 - For innovating new pricing optimizations models that translates into few million dollars in savings

Mccormick & company

Product Manager Intern(Business Analyst)

May 2008Aug 2008 · 3 mos

Patni computer systems ltd

Software Engineer

Jun 2004Apr 2007 · 2 yrs 10 mos

  • SAP BW Consultant. Currently at Client location - McCormick Inc in Baltimore, Maryland

Education

Carnegie Mellon University

M.S. — Information Systems Management

Jan 2007Jan 2008

Savitribai Phule Pune University

MS — Computer Science

Jan 2004Jan 2006

Savitribai Phule Pune University

BS — Computer Science

Jan 2001Jan 2004

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