Anusha Prakash Email & Phone Number
@adobe.com
1 phone found area 412
LinkedIn matched
Who is Anusha Prakash? Overview
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Anusha Prakash is listed as Staff MLE at Adobe | Carnegie Mellon University at Adobe, a with 51 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at adobe.com, phone signal with area code 412, and a matched LinkedIn profile for Anusha Prakash.
Anusha Prakash previously worked as Staff Machine Learning Engineer at Adobe and Graduate Teaching Assistant at Carnegie Mellon University - School Of Computer Science - Language Technologies Institute. Anusha Prakash holds Master Of Science - Ms, Intelligent Information Systems, Computer Science - Lti, School Of Computer Science from Carnegie Mellon University.
Email format at Adobe
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AeroLeads found 2 current-domain work email signals for Anusha Prakash. Compare company email patterns before reaching out.
About Anusha Prakash
I work as a Machine Learning Engineer at Adobe. I pursued my Master's in Intelligent Information Systems at CMU. My primary research interests lie at the intersection of Machine Learning, Deep Learning and NLP. I have prior professional and research experience developing Machine Learning solutions for a wide-range of problems involving text, image and video.
Listed skills include C, Java, C++, Python, and 39 others.
Anusha Prakash's current company
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Anusha Prakash work experience
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Graduate Teaching Assistant
Teaching Assistant for the Search Engines: 11-442 / 11-642 course offered by Prof. Jamie Callan• Graded Assignments, reading summaries and exam answer sheets • Focused mainly on exact match and best match models, pseudo-relevance feedback, search diversification, query expansion and learning to rank
Machine Learning Intern
• Part of Document Sensei Team, Adobe’s AI Platform which powers Document Intelligence• Building Machine Learning solutions in Caffe for the Adobe Scan app
Graduate Student Researcher
Pursued research in the Machine Learning Department under Prof. Tom Mitchell as part of the "NELL: Never-Ending Language Learner" research group. Worked on two main projects :• Deep Question Answering (QA) for Personal AgentsDeals with the task of multi-relational QA over personal narrative, which combines elements of both structured QA over knowledge bases, and unstructured QA over narrative as part of Yahoo InMind Project• Zero-Shot Content Learning for Email ClassificationAim is to train models to learn natural language descriptions of classes and classify a given email into one or more classes, without relying on any labeled data
Software Engineer (Machine Vision)
As part of the "Machine Vision" team, worked on a range of problems like Attribute Extraction, Visual Similarity and Dominant Color Extraction employing Machine Learning, Deep Learning and Natural Language Processing techniques.• Implemented an AI-Designer which generates computer designed apparels by employing Autoencoder and Adversarial Networks• Developed a Machine Curation solution in Python to predict trends and make better recommendations, by building an ensemble of a Deep Learnt Image Model and a Random Forest based Text Model• Modeled a solution to identify the graphic type on T-shirts using Unsupervised Learning and Convolutional Neural Networks
Technology Analyst Intern
" Agile Desktop Software Development using Behavior Driven Approach Approach in Java "• Developed a functionality in Java to automate the processing of cash flows by employing Spring, Hibernate and Eclipse RCP frameworks and JFace and Standard Widget Toolkits• Leveraged on Scrum and behavior-driven development methodology to develop a scalable system with high throughput and uptime• Tested using Cucumber, Selenium and JUnit and enhanced productivity by eliminating manual effort
Software Engineering Intern
" Design and Implementation of Cloud Data Synchronization on Android Platform Optimized for Slow and Erratic Network "• Designed and implemented a novel cloud data synchronization mechanism between Android clients and Rails-based server to save battery power and ensure fault tolerance• Optimized for slow and erratic network by compressing data, batching network as well as I/O bound operations and adopting a server-side conflict resolution mechanism• Measured performance under various network conditions and the new method was found to be 36% faster and consumed 23% less bandwidth
Sciences Academies' Summer Research Fellow
Pursued research in the "Supercomputer Education and Research Centre" under Dr. J Lakshmi, Principal Research Scientist as part of CADlab" Measuring and Identifying Application Performance Bottlenecks on Linux Using Perf Tool "• Identified and measured application performance bottlenecks on Linux using Perf• Tested Perf on various application programs to understand and analyze the data it gathers to correlate with application execution and system behavior• Generated flame graphs from the profiling data to identify the hot paths of the program quickly and accurately and further employed this to optimize application performance
Colleagues at Adobe
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Abee Vetri
Colleague at AdobeChennai, Tamil Nadu, India
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MM
Mason Mccoy
Colleague at AdobeNew York City Metropolitan Area, United States
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Ayodeji Emmanuel
Colleague at AdobeIbadan, Oyo State, Nigeria
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CN
Ch Naeem Babu
Colleague at AdobeLahore, Punjab, Pakistan
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Emrah Drs
Colleague at AdobeIstanbul, Türkiye, Turkey
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Hasnaa Haddadi
Colleague at AdobeFrance
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AC
Alonso Cadavid
Colleague at AdobeLeesburg, Florida, United States
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Ravi Ranjan
Colleague at AdobeBengaluru, Karnataka, India
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KZ
Kristine Zakaryan
Colleague at AdobeYerevan, Armenia
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Rachael Folk
Colleague at AdobeSan Francisco, California, United States
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Anusha Prakash education
Master Of Science - Ms, Intelligent Information Systems, Computer Science - Lti, School Of Computer Science
Bachelor Of Technology (B.Tech.), Computer Science
Pre University Course
High School
Frequently asked questions about Anusha Prakash
Quick answers generated from the profile data available on this page.
What company does Anusha Prakash work for?
Anusha Prakash works for Adobe.
What is Anusha Prakash's role at Adobe?
Anusha Prakash is listed as Staff MLE at Adobe | Carnegie Mellon University at Adobe.
What is Anusha Prakash's email address?
AeroLeads has found 2 work email signals at @adobe.com for Anusha Prakash at Adobe.
What is Anusha Prakash's phone number?
AeroLeads has found 1 phone signal(s) with area code 412 for Anusha Prakash at Adobe.
Where is Anusha Prakash based?
Anusha Prakash is based in San Francisco Bay Area, United States while working with Adobe.
What companies has Anusha Prakash worked for?
Anusha Prakash has worked for Adobe, Carnegie Mellon University - School Of Computer Science - Language Technologies Institute, Machine Learning Dept. At Carnegie Mellon University, Myntra, and Jpmorgan Chase & Co..
Who are Anusha Prakash's colleagues at Adobe?
Anusha Prakash's colleagues at Adobe include Abee Vetri, Mason Mccoy, Ayodeji Emmanuel, Ch Naeem Babu, and Emrah Drs.
How can I contact Anusha Prakash?
You can use AeroLeads to view verified contact signals for Anusha Prakash at Adobe, including work email, phone, and LinkedIn data when available.
What schools did Anusha Prakash attend?
Anusha Prakash holds Master Of Science - Ms, Intelligent Information Systems, Computer Science - Lti, School Of Computer Science from Carnegie Mellon University.
What skills is Anusha Prakash known for?
Anusha Prakash is listed with skills including C, Java, C++, Python, Machine Learning, Deep Learning, Natural Language Processing, and Android Development.
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