Meghanath Macha, Ph.D. work email
- Valid
Meghanath Macha, Ph.D. personal email
- Valid
- Valid
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.
-
Senior Machine Learning EngineerAdobe Jan 2022 - PresentSan Jose, Ca, Us -
Machine Learning EngineerAdobe May 2021 - Jan 2022San Jose, Ca, Us -
Graduate Research AssistantCarnegie Mellon University Jul 2016 - Mar 2021Pittsburgh, Pa, Us -
Data ScientistAdobe May 2019 - Aug 2019San Jose, Ca, UsWorked 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. -
Applied ScientistAmazon May 2018 - Aug 2018Seattle, Wa, UsWorked on developing active learning techniques for the record linkage problem. -
Data ScientistAdobe May 2017 - Aug 2017San Jose, Ca, UsWorked on click-fraud detection which involved identifying fraudulent publishers and users. Paper published in ECML PKDD 2018. -
Member Of Research Staff - 2Adobe Dec 2014 - Jul 2016San Jose, Ca, Us -
Member Of Research StaffAdobe Jun 2014 - Dec 2014San Jose, Ca, Us -
Research Intern - Advanced Technology Lab.Adobe Apr 2013 - Jul 2013San Jose, Ca, UsDuring 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. -
Technical InternUbisoft May 2012 - Jul 2012Saint-Mandé, Île-De-France, FrIn 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. -
Software InternshipChitika, Inc. May 2011 - Jul 2011Needham Heights, Massachusetts, UsI 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
Meghanath Macha, Ph.D. Education Details
-
Carnegie Mellon UniversityInformation Systems And Management -
Indian Institute Of Technology, KharagpurMathematics And Computing -
Vijayaratna Junior CollegeMaths Physics Chemistry -
Sri Sai Public SchoolI.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.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial