Madhu Nadig

Madhu Nadig

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Co-Founder & CTO
California, United States

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Jobs verified_user 0% verified
  • Flagright
    Co-Founder & CTO
    Flagright
    Jan 2022 - Current (4 years 6 months)
    Flagright arms financial institutions with an AI-native, no-code platform to prevent financial crime to comply with AML compliance regulations. Flagright customers quickly set up their infrastructure to prevent fraud and money laundering with our API-first solution that can be integrated in a week compared to 2-4 months industry benchmark of similar solutions. Product portfolio includes real-time transaction monitoring, customer risk scoring, merchant monitoring, case management, sanctions screening, and more. We are hiring competent and motivated engineers to join the crew. DM if interested!
  • Amazon Web Services AWS
    Software Development Engineer
    Amazon Web Services AWS
    Jul 2020 - Dec 2021 (1 year 6 months)
    Built no-code, real-time, multi-region automated deployment products at the world's most innovative cloud infrastructure provider
  • Forto
    Full Stack Engineer
    Forto
    Jan 2019 - Jul 2020 (1 year 7 months)
    Building disruptive logistical software products in Europe's first digital freight-forwarder Forto(Formerly FreightHub GmbH). Joined as Engineer #20 at Series A stage, left after Series C that made Forto an Unicorn.
  • affableai now a Bazaarvoice solution
    Full Stack Engineer
    affableai now a Bazaarvoice solution
    Aug 2018 - Jan 2019 (6 months)
    Developed a Big Data and AI based SaaS platform in a fast-moving early stage startup as Engineer #1. Setup the entire backend data infrastructure.
  • Palantir Technologies
    Forward Deployed Engineer
    Palantir Technologies
    Jan 2018 - Aug 2018 (8 months)
    One of the first hires for Palantir India. Helped large organizations unlock value in their data, with cutting-edge data integration, data versioning and analytics. Worked on-site for Palantir's India and SEA based enterprise customers.
  • Ministry of Defense Government of India
    Software Development Contractor
    Ministry of Defense Government of India
    Aug 2017 - Jan 2018 (6 months)
    Worked on software for large scale data processing and analytics for the Department of Defense Production (DDP), Ministry of Defense, India - as an external contractor
  • Walmart Global Tech
    Software Engineering Co-op
    Walmart Global Tech
    May 2017 - Jul 2017 (3 months)
    Large scale data analytics. Markdown Optimization. Build a greedy algorithm based markdown pricing calculator that was 3000x faster.
  • PES University
    Research Assistant
    PES University
    May 2016 - Apr 2017 (1 year)
    Large scale data analytics and text mining - in the Center for Knowledge Analytics and Ontological Engineering, PES University
Education verified_user 0% verified
  • Y Combinator
    Alumini, YC W22
    Y Combinator
    Jan 2021 - Dec 2022 (2 years)
    https://www.ycombinator.com/companies/flagright
  • PES University
    Bachelor’s Degree, Computer Science. Minor : Management studies
    PES University
    Jan 2014 - Dec 2018 (5 years)
  • Kendriya Vidyalaya
    High School, Mathematics and Computer Science
    Kendriya Vidyalaya
    Jan 2012 - Dec 2014 (3 years)
Projects (professional or personal) verified_user 0% verified
  • C
    ConPaaS - a Platform as a Service from scratch
    Jan 2017 - May 2017 (5 months)
    An implementation of Platform-as-a-Service Cloud model using LXC containers as a part of Cloud Computing( CS341 ) Course. The PaaS is built using Node.js and is made to run on Linux machines. The PaaS is now able to host node.js code along with MongoDB, essentially supporting the mean stack. Multi-user deployment is supported with the maximum number of containers per user set to 3. Each user can create upto 3 containers that run the same Node.js server program. The requests are forwarded to the different in a round-robin fashion by the load balancer.
  • D
    Distributed columnar key value datastore
    Aug 2016 - Nov 2016 (4 months)
    A demonstration of the implementation of a distributed columnar NoSQL key-value pair based datastore for big data. With support for multiple nodes, node management, centralized control, replica management and fault tolerance. Implemented with GET(Query) and POST(entry) requests with persistent storage. Architecture suitable for 'read once write consistently' type of applications. Built the application from scratch with Python and NodeJS.
  • E
    Empirical analysis of the Indian political ecosystem as an application of generic textual processing
    May 2016
    • A cloud-based text analysis platform that enables the procurement, integration, storage, and analysis of large text-based data sets from multiple sources or domains. • Full implementation of the platform with end-to-end integration between multiple techonologies such as Python, nltk, Node.js, Javascript and D3.js. Extensively used Machine learning and implemented custom Machine Learning algorithms. • Platform successfully applied to the Indian political domain. • Selected to present in the International Conference in Digital Libraries(ICDL) 2016, was awarded a prize in best paper award category
  • C
    Computer Assembler
    Jan 2015 - Dec 2015 (1 year)
    Coded a fully-functional computer assembler based on a hypothetical machine. Language Used: C
Awards verified_user 0% verified
  • D
    Persistent Inspiration Award
    Dept of Defense Production Ministry of Defense India
    Apr 2017
    Awarded the Inspiration Award in Smart India Hackathon - 2017 - World’s Largest Hackathon - for a project on real time data analytics and intelligence for Dept. of Defense Production, Ministry of Defense, India.
  • T
    Best Paper Award
    Teri
    Dec 2016
    Awarded a prize in Best Paper Award category at International Conference in Digital Libraries for the paper: Empirical Analysis of Indian political ecosystem as an application of genetic textual processing
  • G
    National Talent Search Examination
    Govt of India
    Jan 2009
Publications verified_user 0% verified
  • W
    Text Analytics Applied to Indian Politics
    World Digital Libraries
    Aug 2017
    Print ISSN : 0974-567X. Online ISSN : 0975-7597. Article DOI : 10.18329/09757597/2017/10102
  • I
    Empirical Analysis of Indian Political Ecosystem as an Application of Generic Textual Processing
    ICDL International Conference in Digital Libraries
    Dec 2016
    Considerable amount of the textual data created following the information explosion is unstructured, incoherent and is often from multiple sources and in different formats. In order to analyze an incoherent and unstructured domain, it is essential to employ generic and robust methods to procure, integrate, store, and analyze large amounts of text-based data from multiple sources and contexts. In this paper, we present a platform that we built which serves this purpose. It is a cloud-based text analysis platform that enables the procurement, integration, storage, and analysis of large text-based data sets from multiple sources or domains. It is a general purpose analytical Software-as- a-Service that allows the user to get insightful informa
  • I
    Computed Science-to-Economy Conversion for Better Farming and Forestry
    International Journal Of Research in Computer Science
    Jun 2015
    Forest farming is a three dimensional farming technique where the synchronization of agriculture and forest environment forms a new kind of self-sustaining ecosystem. This method has various obstacles in form of versatility and ecological balance, which is largely solved by science to economic computation and organized structuring of the farm. The scientific data regarding the farm - the pH value, Rainfall, Humidity, temperatures (day and night) and humus content – is processed to get economic results, which ultimately helps in practical implementation of the method. The main objective is to enhance the practicability of the method. See more at: http://www.ijorcs.org/manuscript/id/90/madhu-g-nadig/computed-science-to-economy-conversion-for-
  • T
    Empirical Analysis of the Indian Political Ecosystem as an Application of Generic Textual Analysis
    The Energy and Resources Institute TERI
    International Conference on Digital Libraries (ICDL) 2016. ISBN : 8179936538, 9788179936535
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