AWS Data & Machine Learning, Accelerated

Manifold designs, builds, deploys, and manages complex data and machine learning applications on AWS.

Key Team Members

Our team has a track record at companies like Google, HubSpot, Kayak, Qualcomm, Marqeta, and Uber. We speak at a variety of industry events—including Strata, ODSC, and Enterprise Data World—and have been featured in publications such as Entrepreneur, TheNextWeb, ReadWrite, and KD Nuggets.

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ALEXANDER NG

Director, Infrastructure & DevOps

  • Recent projects at the intersection of systems and machine learning
  • DevOps Tech Lead, Kyruus
  • Software Systems Engineer, MITRE
  • Software Systems Engineer, US Navy
  • BS, EE – Boston University

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JAKOV KUCAN

Senior Architect

  • Chief Architect, Kyruus
  • Director of Product Strategy, PTC Mathcad 
  • Software Architect, Mathsoft
  • Co-founder/Engineer/Architect/V.P. and Chief Scientist, Centive
  • PhD, Computer Science — MIT; MA, Mathematics, BSE, Computer Science and Engineering — UPenn

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VINAY SETH MOHTA

CEO

  • CTO, CISO, Co-Founder, Kyruus
  • Product Manager, Kayak
  • CTO, Global Health Delivery
  • Architect & Product Manager, Endeca Technologies
  • Developer, The MathWorks
  • Multiple patents (text search, faceted navigation)
  • MEng & BS, EECS – MIT

Approach

How We Harness 10x Engineering

Software product development is often described as a decision maze of product-market and technology choices. A 10x engineer is able to expertly navigate that maze.

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How We Produce Results with Lean AI

At its core, Lean AI is a set of mental models that help teams work together smoothly to deliver business value faster when implementing AI in their organization.

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How We Work with Clients

We can help accelerate your data projects. See how working with us reduces risk substantially, and explore what a project with Manifold looks like day to day.

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Perspectives

EFFICIENT DATA ENGINEERING
 

The ETL process gets interesting when data volumes are large, and you have to consider performance. In this article, we offer some tips on re-structuring the software engineering process and leveraging the cloud to make iteration more efficient.

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A PYTHON TOOLKIT FOR DOCKER-FIRST DATA SCIENCE

Data scientists are becoming more involved in the delivery pipeline of products, and it is a non-trivial task ensuring that their work survives the delivery process. At Manifold, we developed some tools internally for easily spinning up Docker based development environments for machine learning projects.

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YOUR PROJECT NEEDS A DATA READINESS AUDIT

In our work, we have found our “AI Uncertainty Principle” to be a useful heuristic to keep in mind. Before starting big projects, we strongly recommend protecting your organization from costly missteps by performing some form of AI Data Readiness audit.

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