Shraey Bhatia

Co-Founder

Melbourne, Victoria, Australia9 yrs 2 mos experience

Highly StableAI ML Practitioner

Key Highlights

Co-Founder of an AI startup backed by Y Combinator.
Expert in deploying large language models for diverse applications.
Led AI implementation for next-gen Voice AI agents.

Stackforce AI infers this person is a leader in AI and Natural Language Processing with a focus on innovative solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)MlopsNatural Language ProcessingMachine LearningDeep Learning

Other Skills

Amazon Web Services (AWS)CSSComputational LinguisticsDataData ScienceGitGoogle Cloud Platform (GCP)Information RetrievalJavaScriptKubernetesLinuxMYSQLPandasPyTorchPython

About

Please no messages for IT outsourcing. We at Leaping AI build all our tech in house. Thank you.

Experience

Leaping ai

Co-Founder & Chief AI Officer

Aug 2023 – Present · 2 yrs 7 mos · San Francisco/Berlin

Building next gen self improving Voice AI agents with more than 70% automation rate. Backed by Y-combinator and other leading investors.
I lead AI implementation and product decisions.

KubernetesDeep LearningArtificial Intelligence (AI)MLOpsPython

University of melbourne

3 roles

A.I. Consulting - Large Language Models, Melbourne Data Analytics Platform

Promoted

Jul 2023 – Dec 2023 · 5 mos

Tutor- Natural Language Processing

Feb 2021 – Jul 2021 · 5 mos

PhD Candidate - NLP/ LLMs

Oct 2017 – Dec 2023 · 6 yrs 2 mos

Plaetos

Founding NLP/Machine Learning Engineer

Oct 2018 – Apr 2023 · 4 yrs 6 mos · Melbourne, Victoria, Australia

Fine Tuning and deploying large language models such as GPT3, GPT-Neox, T5, and BERT in pipeline for specific domains and datasets in various text-based applications such as summarization, local search, question answering, sentence segmentation, emotions, sarcasm etc. Additionally, also worked with low resource learning, transfer learning and leveraging supervised learning for use cases with limited availability of data. Have been able to draw deep insights and value for clients.

Natural Language ProcessingMachine LearningDeep Learning

Ibm

AI Researcher

Mar 2016 – Nov 2016 · 8 mos · Melbourne, Australia

Worked with deep learning on automatic labelling of topic models with embedding based models like Word to vector(Word2Vec) and Document to vector(Doc2Vec).

Deep LearningNatural Language Processing