Staff ML Engineer
2020 - PRESENTServiceNow- Worked on re-platforming Passage AI technologies like intent classification, named entity recognition, machine reading comprehension in the ServiceNow platform.
- Worked within a small team and introduced multilingual capabilities to 15+ languages (from 5) in ServiceNow.
- Built the latest prebuilt models for various machine learning (ML) algorithms.
Technologies: TensorFlow, Keras, Python, JavaLead NLP Engineer
2018 - 2020Passage AI- Designed and built the following systems: named entity recognition, slot filling, knowledgebase relevance and ranking, end-to-end L2 ranker system that improves with user feedback, multi-language capabilities. Was awarded a patent for our work.
- Directly interacted with clients to understand, brainstorm, and design new features to streamline all relevance requirements and was instrumental in customer success in a couple of clients.
- Established coding standards and engineering of our microservices deployed in Kubernetes for low latency and memory footprint.
- Contributed actively to set the NLU direction with CTO. Passage AI was acquired by ServiceNow.
Technologies: Keras, Node.js, PythonSoftware Development Engineer II
2012 - 2020Microsoft- Contributed to the build of the Bing Product Ads' content API from scratch. Worked on all levels of the stack. It currently has around 50 million offers.
- Worked on various components of Bing Knowledge Graph including scaling different parts of the data pipeline and designing and implementing REST APIs to showcase end-to-end capabilities while collaborating with teams in China and India.
- Designed and built a new algorithm to automatically conflate different sources of truth like Wikipedia, IMDB, independent wikis, and knowledgebases. This fixed a significant number of duplicates in our knowledge graph.
- Ideated, designed, and developed patent-pending technology (404123-US-NP) to bring intelligence to office products from auto-filling in MS Word and Excel to fact validation in ms word and outlook. This won the company-wide yearly hackathon in 2016.
Technologies: Pipelines, SQL, C#Research Scientist
2010 - 2020Adometry- Devised, developed, and tested new approaches to improve click fraud detection and ad-analytics products including ad-campaign optimization and ad-attribution analytics.
- Involved in leading/assisting in all stages of the client process (from onboarding to the delivery of results.
- Worked as one of the first research engineers and involved in developing a research strategy. Adometry was later acquired by Google.
Technologies: Java, Python
Srivatsava Daruru
Machine Learning Developer in San Jose, CA, United States
Member since October 13, 2020
With a master's degree in ML from UT Austin and a decade of experience working for large companies like Microsoft and ServiceNow as well as small, successful startups like Passage AI and Adometry, Srivatsava has a proven track record of delivering successful products at scale. With multiple patents and peer-reviewed publications, he''s comfortable with both software engineering and machine learning. Srivatsava excels at solving challenges and mapping client requirements to practical solutions.
Srivatsava is now available for hire
Portfolio
- ServiceNowTensorFlow, Keras, Python, Java
- Passage AIKeras, Node.js, Python
- MicrosoftPipelines, SQL, C#
Experience
- Machine Learning 12 years
- Python 12 years
- Natural Language Understanding (NLU) 10 years
- Artificial Intelligence (AI) 10 years
- Natural Language Processing (NLP) 10 years
- Keras 6 years
- TensorFlow 6 years
- Deep Neural Networks 6 years
Availability
Part-time
Preferred Environment
Keras, TensorFlow, Java, Python, Unix
The most amazing...
...project was creating patented tech to bring intelligence to MS Office products from auto-filling in Word and Excel to fact validation in Word and Outlook.
Employment
Experience
- InstaFact
InstaFact’s proof of concept integrates Microsoft’s Bing knowledge graph into Word and Excel to help people save time, work more easily, and be more productive. Called Satori, the knowledge graph is an enormous repository of data gathered daily from the web, with more than two billion entities (people, places, and things) and tens of billions of associated facts and relationships between those entities.
Skills
Languages
Python, C#, Java, SQLLibraries/APIs
TensorFlow, Keras, Node.jsParadigms
Agile Software Development, Data ScienceOther
Machine Learning, Natural Language Processing (NLP), Natural Language Understanding (NLU), Artificial Intelligence (AI), Deep Neural Networks, Algorithms, Data Mining, PipelinesPlatforms
Kubernetes, Unix
Education
- Master's Degree in Computer Science2008 - 2010University of Texas at Austin - Austin, TX, United States
- Bachelor's Degree in Computer Science2004 - 2008IIIT Hyderabad - Hyderabad, India
