Vikas Upadhyay work email
- Valid
Vikas Upadhyay personal email
Vikas Upadhyay phone numbers
- Experienced in LLM fine-tuning and alignment, utilizing cutting-edge techniques like RLHF (PPO), DPO, and KTO. - Have Synthetic data generation skills for both vision and natural language projects, enhancing product and service innovation.- Specialized in NLP and real healthcare data management, by applying de-identification and anonymization with token-based classifiers and heuristics to craft bespoke digital assistants and LLM solutions.- Skill set also includes both multivariate and univariate time series analysis for anomaly detection and forecasting across various sectors. - Have developed services using web data for dynamic pricing, employing neural search along with image and semantic text similarity techniques.
-
Principal Applied ScientistOracle Oct 2022 - PresentAustin, Texas, Us -
Principal Data ScientistOracle Aug 2022 - Oct 2022Austin, Texas, Us
-
Senior Data ScientistOracle Feb 2021 - Sep 2022Austin, Texas, Us
-
Lead Data ScientistQl2 Software Oct 2020 - Feb 2021Dover, Delaware, Us- Provide solutions pertaining to Neural Search, Text Analysis, Entity extraction, Similarity matching, Text classification (multi-class and multi-label ), Insight extraction and data analysis. - Conceptualizing new product offerings, development and deployment. - Keeping abreast with the latest techniques to advance existing solutions and solving new challenges. - Managing team to meet deliverables and end customer interaction. -
Senior Data ScientistQl2 Software Jan 2020 - Oct 2020Dover, Delaware, Us- Using Contextual and Context free embedding models to assist in product search and ranking. ( Transformers , Skip-Gram, RNNs )- Creating Language models for attribute extraction, normalization and exact matching. ( Token Classification, sentence classification, text summarization )- Overlooking automated batch based learning models performance for any covariate shifts, biases and enhancement.
-
Data ScientistQl2 Software Jun 2018 - Dec 2019Dover, Delaware, Us- Using Image Similarity and Image classification for product matching.- Outlier Identification using unsupervised learning ensemble.- Time Series based pricing forecasting - Data analysis and visualization including detecting temporally relevant features, data aggregation, data normalization and creating automated alerting systems for NRT actions.
-
Graduate Course Assistant- Artificial Intelligence Cs 601.464/664Johns Hopkins Whiting School Of Engineering Feb 2018 - May 2018Baltimore, Maryland, Us -
ResearcherJohns Hopkins Bloomberg School Of Public Health May 2017 - Dec 2017Baltimore, Md, Us -
Software EngineerCapgemini ( Formerly Igate) Nov 2015 - Aug 2016Paris, France, Fr
Vikas Upadhyay Skills
Vikas Upadhyay Education Details
-
The Johns Hopkins UniversityComputer Science -
Stanford University School Of EngineeringArtificial Intelligence Professional Program
-
University Of MumbaiComputer Engineering
Frequently Asked Questions about Vikas Upadhyay
What company does Vikas Upadhyay work for?
Vikas Upadhyay works for Oracle
What is Vikas Upadhyay's role at the current company?
Vikas Upadhyay's current role is Principal Applied Scientist at Oracle.
What is Vikas Upadhyay's email address?
Vikas Upadhyay's email address is vu****@****jhu.edu
What is Vikas Upadhyay's direct phone number?
Vikas Upadhyay's direct phone number is +166721*****
What schools did Vikas Upadhyay attend?
Vikas Upadhyay attended The Johns Hopkins University, Stanford University School Of Engineering, University Of Mumbai.
What are some of Vikas Upadhyay's interests?
Vikas Upadhyay has interest in Artificial Intelligence, Big Data, Machine Learning, Data Science, Predictive Analysis.
What skills is Vikas Upadhyay known for?
Vikas Upadhyay has skills like Sql, Java, Javascript, Html, Html5, Java Enterprise Edition, Jboss Application Server, Spring Framework, Mvc, Servlets, Jsp, Web Applications.
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