Meghanath Macha, Ph.D.

Meghanath Macha, Ph.D. Email and Phone Number

Building Adobe GenStudio. @ Adobe
345 Park Avenue
Meghanath Macha, Ph.D.'s Location
San Jose, California, United States, United States
Meghanath Macha, Ph.D.'s Contact Details

Meghanath Macha, Ph.D. work email

Meghanath Macha, Ph.D. personal email

About Meghanath Macha, Ph.D.

As a Senior Machine Learning Engineer at Adobe, I lead projects utilizing large language models for scalable, enterprise-safe marketing content creation. My initiatives have been instrumental in the development and launch of Adobe GenStudio Create and the company's inaugural AI-driven marketing campaign. I have developed and scaled deep learning models that have been integrated into Adobe's Firefly Content Tagging Services.I have a proven track record in intellectual property creation, having contributed to over 15 patents. My research in machine learning and management has also been recognized through 10+ publications in prominent conferences and journals such as KDD, WebConf, DMKD, and ISR.Previously, as a Founding Engineer at a stealth startup during my Ph.D. at Carnegie Mellon University, I led the development of machine learning systems processing 300M+ location data points daily. This work secured multiple Fortune 500 clients and drove significant revenue increases. My doctoral research under Prof. Beibei Li explored the trade-offs of consumer behavior from location data.My early career at Adobe Research in India and internships in San Jose were instrumental in developing methods for marketing attribution and fraud detection. A summer internship at Amazon enhanced my skills in active learning methods for record linkage. I hold dual degrees in Mathematics and Computing from I.I.T. Kharagpur, where I graduated at the top of my class in 2014.

Meghanath Macha, Ph.D.'s Current Company Details
Adobe

Adobe

View
Building Adobe GenStudio.
345 Park Avenue
Website:
adobe.com
Employees:
51
Meghanath Macha, Ph.D. Work Experience Details
  • Adobe
    Senior Machine Learning Engineer
    Adobe Jan 2022 - Present
    San Jose, Ca, Us
  • Adobe
    Machine Learning Engineer
    Adobe May 2021 - Jan 2022
    San Jose, Ca, Us
  • Carnegie Mellon University
    Graduate Research Assistant
    Carnegie Mellon University Jul 2016 - Mar 2021
    Pittsburgh, Pa, Us
  • Adobe
    Data Scientist
    Adobe May 2019 - Aug 2019
    San Jose, Ca, Us
    Worked on semi-supervised identification and summarization of marketing segments and critical event detection in online web sessions. Two patents filed, workshop paper at WebConf 2020 published.
  • Amazon
    Applied Scientist
    Amazon May 2018 - Aug 2018
    Seattle, Wa, Us
    Worked on developing active learning techniques for the record linkage problem.
  • Adobe
    Data Scientist
    Adobe May 2017 - Aug 2017
    San Jose, Ca, Us
    Worked on click-fraud detection which involved identifying fraudulent publishers and users. Paper published in ECML PKDD 2018.
  • Adobe
    Member Of Research Staff - 2
    Adobe Dec 2014 - Jul 2016
    San Jose, Ca, Us
  • Adobe
    Member Of Research Staff
    Adobe Jun 2014 - Dec 2014
    San Jose, Ca, Us
  • Adobe
    Research Intern - Advanced Technology Lab.
    Adobe Apr 2013 - Jul 2013
    San Jose, Ca, Us
    During the three months I spent at Adobe, me and a group of two other interns mentored by Mr. Deepak Pai, Research Scientist, Adobe ATL worked on analysing Click streams.We built two models which could classify the visitor sessions on a web site based on the URLs visited in a session.
  • Ubisoft
    Technical Intern
    Ubisoft May 2012 - Jul 2012
    Saint-Mandé, Île-De-France, Fr
    In the summer of 2012, I had the chance to work under the guidance of Professor Yoshua Bengio one of the prominent researchers in the field of Deep learning at Université de Montréal. I worked in the Ubisoft - Université de Montréal industrial chair, building a model which would predict a list of gaming inventory a user is most likely to purchase based on his prior transactions and gaming profile.
  • Chitika, Inc.
    Software Internship
    Chitika, Inc. May 2011 - Jul 2011
    Needham Heights, Massachusetts, Us
    I had the opportunity to do my internship at the end of my sophomore year at Chitika, an Online Advertising Network where I had to build a model to classify a given web page into predefined categories which could be used for targeted advertising.I modeled a Naive Bayes classifier for this purpose incorporating Co-training, a semi supervised learning technique which considered text on the page as one view and the anchor text of hyperlinks on the page as the other view.

Meghanath Macha, Ph.D. Skills

C Python C++ Java Machine Learning Matlab Microsoft Office Algorithms Linux Html Sql Microsoft Excel Natural Language Processing Powerpoint Mysql Php Windows Operating Systems

Meghanath Macha, Ph.D. Education Details

  • Carnegie Mellon University
    Carnegie Mellon University
    Information Systems And Management
  • Indian Institute Of Technology, Kharagpur
    Indian Institute Of Technology, Kharagpur
    Mathematics And Computing
  • Vijayaratna Junior College
    Vijayaratna Junior College
    Maths Physics Chemistry
  • Sri Sai Public School
    Sri Sai Public School
    I.C.S.E

Frequently Asked Questions about Meghanath Macha, Ph.D.

What company does Meghanath Macha, Ph.D. work for?

Meghanath Macha, Ph.D. works for Adobe

What is Meghanath Macha, Ph.D.'s role at the current company?

Meghanath Macha, Ph.D.'s current role is Building Adobe GenStudio..

What is Meghanath Macha, Ph.D.'s email address?

Meghanath Macha, Ph.D.'s email address is mm****@****cmu.edu

What schools did Meghanath Macha, Ph.D. attend?

Meghanath Macha, Ph.D. attended Carnegie Mellon University, Indian Institute Of Technology, Kharagpur, Vijayaratna Junior College, Sri Sai Public School.

What are some of Meghanath Macha, Ph.D.'s interests?

Meghanath Macha, Ph.D. has interest in Information Retrieval, Web Mining, Machine Learning, Machine Learning Data Miningweb Mining, Data Mining, Natural Language Processing, Machine Learningdata Miningweb Mining.

What skills is Meghanath Macha, Ph.D. known for?

Meghanath Macha, Ph.D. has skills like C, Python, C++, Java, Machine Learning, Matlab, Microsoft Office, Algorithms, Linux, Html, Sql, Microsoft Excel.

Who are Meghanath Macha, Ph.D.'s colleagues?

Meghanath Macha, Ph.D.'s colleagues are Elma Teana, Nick Chavez, Patricia Honeywell, Louisa Pickering, Sandhya Reddy, Ali Riadh, Parmar Manisha.

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