Srivatsava Daruru
Verified Expert in Engineering
Machine Learning Developer
San Jose, CA, United States
Toptal 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.
Portfolio
Experience
- Machine Learning - 12 years
- Python - 12 years
- Generative Pre-trained Transformers (GPT) - 10 years
- Artificial Intelligence (AI) - 10 years
- Natural Language Understanding (NLU) - 10 years
- Natural Language Processing (NLP) - 10 years
- Deep Neural Networks (DNNs) - 6 years
- TensorFlow - 6 years
Availability
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.
Work Experience
Staff ML Engineer
ServiceNow
- 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.
Lead NLP Engineer
Passage 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.
Software Development Engineer II
Microsoft
- 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.
Research Scientist
Adometry
- 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.
Experience
InstaFact
Education
Master's Degree in Computer Science
University of Texas at Austin - Austin, TX, United States
Bachelor's Degree in Computer Science
IIIT Hyderabad - Hyderabad, India
Skills
Libraries/APIs
TensorFlow, Keras, Node.js
Languages
Python, C#, Java, SQL
Paradigms
Agile Software Development
Platforms
Kubernetes, Unix
Other
Machine Learning, Natural Language Processing (NLP), Natural Language Understanding (NLU), Artificial Intelligence (AI), Deep Neural Networks (DNNs), Generative Pre-trained Transformers (GPT), Algorithms, Data Mining, Data Science, Pipelines
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