Pragya Tripathi Email & Phone Number
@intuit.com
2 phones found area 650 and 803
LinkedIn matched
Who is Pragya Tripathi? Overview
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Pragya Tripathi is listed as Gen AI at Netflix, a with 17330 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at intuit.com, phone signal with area code 650, 803, and a matched LinkedIn profile for Pragya Tripathi.
Pragya Tripathi previously worked as Senior Software Engineer at Netflix and Staff Machine Learning Engineer at Intuit. Pragya Tripathi holds Master’S Degree, Machine Learning from Carnegie Mellon University.
Email format at Netflix
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AeroLeads found 1 current-domain work email signal for Pragya Tripathi. Compare company email patterns before reaching out.
About Pragya Tripathi
Pragya Tripathi is a Gen AI at Netflix. She possess expertise in java, javascript, python, maven, perforce and 23 more skills. Colleagues describe her as "Pragya is a consistent high performer, who has spear-headed major greenfield initiatives, both in build automation, CI, CD, and more recently data science. She's also helped grow our iOS code base considerably. A great thing about her as a fellow individual contributor, esp. during planning time, is we know we can always count on her to deliver a quality solution. She has that drive to get the job done that is rare among engineers. She's also welcoming and open to feedback. It's not uncommon for her to stay up all night if the project requires it, though she'd never ask the same of anyone else. She has that unique dedication and focus. She won our organization-wide hackathon so many times that I've lost count. But she has that grace and willingness to put the team forward which is even stronger than her amazing work ethic. It was fun to hear about the machine learning work she did at CMU, and it's great to see how much she's been able to apply her knowledge of those fields at NCR. She is a precocious, life-long learner that any team would be lucky to have. While she's a very capable team lead and scrum master, she's equally capable as the only developer or data scientist on a team. I'm excited to see which areas she helps drive for NCR and beyond." and "Pragya is an extremely passionate, intelligent, and motivated engineer. I worked with her on multiple projects and watched her become a highly successful iOS Developer, work on tools that required scripting, and seen her become highly skilled at all things data. Her curiosity and her desire to master new challenges motivates her. She is great with external clients and is always trying to understand the business problems. Pragya is the sort of engineer PMs love to work with and hate to see leave them. I strongly recommend working with her if/when you have the chance. I hope I get a second chance to do so!"
Listed skills include Java, Javascript, Python, Maven, and 24 others.
Pragya Tripathi's current company
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Pragya Tripathi work experience
A career timeline built from the work history available for this profile.
Senior Software Engineer
Current
Staff Machine Learning Engineer
∙ Architect and build system using LLMs, multiple agents, tools and planner to automate entering, reviewing and summarizing a customer's income tax forms with a goal to reduce 35 screens and 53 actions in TurboTax Income pages. ∙ Power prompt templates with RAG by adding closest context from knowledge base built on tax information.∙ Provide technical leadership, and drive technical direction for a LLM team that focuses on sentiment analysis for outbound campaign from 27M product surveys which has realized revenue impact of $4.2M for TurboTax.∙ Support Generative AI initiatives to democratize GenAI across the company with robustness and scale.∙ Architect solutions for large scale Applied ML for personalization of TurboTax HomePage that yields ~ 95M unique visitors each year and work on designing and building inference system with stringent SLA of P99 ~100ms, feature engineering pipelines that can handle ~42k events per second, model inference for 1050 requests per second, and models that have outperformed baseline by 12 index points bringing in incremental revenue of ~ $10M.∙ Optimize tree-based models for extreme feature sparsity and decrease latency of recommender systems to produce recommendation within ~ 30 ms including preprocessing.∙ Collaborate with product and marketing teams to design and run successful A/A and A/B tests on various marketing experiences powered by recommender systems on TurboTax Homepage for selected audience segments tracking and analyzing important business metrics as click through rate, traffic to auth and revenue per visitor. ∙ Partner with cross-functional teams, product owners, and stakeholders to strengthen recognition rate of visitors with high confidence since deletion of third party cookies.∙ Mentor and grow junior ML engineers in AI org and help to uplevel ML talent across the company through presentations designed to up level ML engineering skills.
Staff Software Engineer (Data Scientist)
• Led several teams and projects for micro services, data APIs, Machine Learning and analytics• Design and build pipelines to add data sources to the platform for ML and Analytics using Storage, Pub/Sub, Dataflow and Composer in Google Cloud Platform• Design and build visualization platform using Looker and React to fulfill business reporting requirements• Create data aggregation models for reporting metrics and feature engineering using Airflow and BigQuery• Build batch APIs to meet customer data demands with compression and pagination using Spring WebFlux• Automate infrastructure setup using Terraform and Helm for GCP Kubernetes Cluster• Setup Istio to guard Kubernetes cluster and establish mTLS connection with JWT authentication with Apigee Gateway• Work with compliance and security teams to fulfull regulatory and security requirements • Come up with predictive analytics ideas to create powerful and intelligent reporting• Build predictive analytics pipeline to support reporting using AI Platform, BQML and Kubeflow
Labs Data Scientist (Senior Software Engineer)
• Lead a team of 3 data scientists in Innovation Labs to fuel innovation efforts in technologies like Artificial Intelligence, Machine Learning, Natural Language Processing, and Blockchain.• Talk to clients about their needs, expectations and goals, and come up with a plan to solve them using data science and machine learning.• Clean, extract, transform and load ~200 million banking data for modeling using PostgreSQL, Spark, and Pandas in Azure cloud infrastructure. • Analyze data using descriptive statistics, and use clustering, regression analysis, decomposition methods and smoothing techniques for time series data.• Create training and test sets and model data using deep learning techniques like RNN, Attention models using Keras and Tensorflow.• Adopt rapid experimentation to prove accuracy of Machine Learning models before it can be adopted in the company's products.• Created an Ethereum based blockchain react native app where users could trade colored dots with one another for prizes to create a fun and educational experience for NCR Innovation Conference attendees.
Software Engineer
• Worked on digital and mobile banking platform, which serves millions of users and 600 financial institutions across the country. • Researched end-to-end workflows from requirements outlining scope, effort and dependencies, and create technical designs.• Designed, developed and tested interactive user interface and implemented server-side logic for workflows like user authentication, check deposit, transfers, transactions history, and bill payment.• Applied machine learning algorithms to create prototypes to find profitable user segments for any Financial Institution.• Planned and executed data migration tasks between data centers, while debugging and resolving production defects.• Facilitated the team as scrum master, and created acceptance criteria for client commitments.• Used Agile methodologies for software development, worked in cross-functional teams to improve development practices and developed necessary tools.
Assistant Area Coordinator
• Provided paraprofessional advising and peer tutoring to senior and junior undergraduate students.• Developed and conducted programs to promote diversity, personal development, and academic performance for 40 residents, mobilizing budget of $2.5 per resident per semester.• Served as a Resident Academic Advisor for the first two years, and assisted incoming students to adjust to campus life.
Instructional Technology Assistant
• Assisted around 200 faculty and staff members, and 900 students in Columbia College with technical difficulties.• Trained 200 incoming students and faculty members each year to use the technologies available in Columbia College.
Mathematics Tutor
• Helped around 10 students per week on various subjects like Calculus, Pre-Calculus, Programming, Statistics, and Discrete Mathematics.• Motivated students to study hard by helping them create study plans, and proctored exams when required.
Software Engineering Intern
• Worked on the Transform Online Banking project, which serves around 10 million customers across the United States.• Contributed to workflows such as user authentication, new user creation, and old credential conversion.• Developed Application Programming Interfaces (APIs) and built tests using Java for the assigned user stories.• Gained proficiency in technologies like Maven, Perforce, Splunk, Sencha tools, PowerMockito, and Velocity Markup.• Created an Android app to help students financially by connecting them to potential donor or seller of college materials.
Computer Science Intern
• Initiated and completed the development of automated file uploading application, which the firm used to buy from third party vendors, resulting in reduced overhead cost of $3000. • Developed flowchart for Interactive Voice Response (IVR) machine, which provided debt information for NC populace.• Converted code in 16-bit CLIPPER application to 32-bit Xbase++ application for use in the SC county offices.
Business Analyst
• Gathered necessary requirements for website projects from the clients and developed project plans.• Mobilized budgets as low as $300 and successfully completed web application projects.• Developed basic framework for websites and embarked on the projects upon receiving approval from the clients.• Prepared requirement documents, project plans, wireframes, and process flow diagrams as the project progressed.
Colleagues at Netflix
Other employees you can reach at netflix.com. View company contacts for 17330 employees →
Barbara Nevarez
Colleague at NetflixFernley, Nevada, United States
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Gaby Fave
Colleague at NetflixJuárez, Chihuahua, Mexico
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Archana Shedge
Colleague at NetflixThane, Maharashtra, India
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Chidimma Lilian
Colleague at NetflixNnewi North, Anambra State, Nigeria
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Kanishka R
Colleague at NetflixRamanathapuram, Tamil Nadu, India
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Cindy Ayu Rengganis
Colleague at NetflixMagelang Tengah, Central Java, Indonesia
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Paulo Youtuber
Colleague at NetflixIbirá, São Paulo, Brazil
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JA
Johnny Antofa
Colleague at NetflixAntofagasta, Antofagasta Region, Chile
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Anupama Savithri
Colleague at NetflixSri Lanka
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Christy Scott
Colleague at NetflixLos Angeles, California, United States
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Pragya Tripathi education
Master’S Degree, Machine Learning
Bachelor'S Of Science, Computer Science, Accounting
Cambridge A Levels
Frequently asked questions about Pragya Tripathi
Quick answers generated from the profile data available on this page.
What company does Pragya Tripathi work for?
Pragya Tripathi works for Netflix.
What is Pragya Tripathi's role at Netflix?
Pragya Tripathi is listed as Gen AI at Netflix.
What is Pragya Tripathi's email address?
AeroLeads has found 1 work email signal at @intuit.com for Pragya Tripathi at Netflix.
What is Pragya Tripathi's phone number?
AeroLeads has found 2 phone signal(s) with area code 650, 803 for Pragya Tripathi at Netflix.
Where is Pragya Tripathi based?
Pragya Tripathi is based in San Francisco Bay Area, United States while working with Netflix.
What companies has Pragya Tripathi worked for?
Pragya Tripathi has worked for Netflix, Intuit, Ncr Corporation, Columbia College Sc, and Nc And Sc Debt-Setoff Clearinghouse.
Who are Pragya Tripathi's colleagues at Netflix?
Pragya Tripathi's colleagues at Netflix include Barbara Nevarez, Gaby Fave, Archana Shedge, Chidimma Lilian, and Kanishka R.
How can I contact Pragya Tripathi?
You can use AeroLeads to view verified contact signals for Pragya Tripathi at Netflix, including work email, phone, and LinkedIn data when available.
What schools did Pragya Tripathi attend?
Pragya Tripathi holds Master’S Degree, Machine Learning from Carnegie Mellon University.
What skills is Pragya Tripathi known for?
Pragya Tripathi is listed with skills including Java, Javascript, Python, Maven, Perforce, Html, Vm, and Splunk.
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