Shubh Jaroria

AI Researcher

Jersey City, New Jersey, United States3 yrs 6 mos experience

Key Highlights

Expert in Natural Language Processing and Machine Learning.
Proven track record in gender bias research using LLMs.
Strong background in cloud-native application development.

Stackforce AI infers this person is a Machine Learning and NLP specialist in the Healthcare sector.

Contact

shubh@dyaniahealth.com +919871698437 LinkedIn

Skills

Core Skills

Natural Language Processing (nlp)Machine Learning AlgorithmsJavaserver Faces (jsf)SqlReinforcement Learning

Other Skills

ARM ArchitectureARM AssemblyAndroid StudioAngular Command Line Interface (CLI)C++Cloud-native applicationsComputer VisionData AnalysisData StructuresData VisualizationDeep LearningDouble Deep Q-NetworksGame DevelopmentGoogle Cloud Platform (GCP)Java

Experience

Dyania health

2 roles

NLP Applied Scientist

Nov 2024 – Present · 1 yr 4 mos · Jersey City, New Jersey, United States · Hybrid

Part of AI Research team.

NLP Applied Scientist

Aug 2024 – Oct 2024 · 2 mos · Jersey City, New Jersey, United States · Hybrid

University at buffalo

2 roles

Graduate Research Assistant

Jun 2023 – Sep 2023 · 3 mos · Buffalo, New York, United States

Designing and implementing a white-box FGSM adversarial attack on a SOTA for semantic segmentation on the SemanticKITTI dataset.

ML Research Assistant

Feb 2023 – Mar 2024 · 1 yr 1 mo · Buffalo, New York, United States

1. Led research on gender insights extracted by large language models from biographies, employing NLP and socio-cognitive theories to identify and mitigate biases.
2. Engineered a high-speed pipeline using a quantized LLM (LLaMa-2, 13B-chat) to analyze over 1 million biographies, leveraging SBERT embeddings and K-Means clustering to uncover gender patterns.
3. Trained a Bag-of-Words model and finetuned BERT to predict a person's gender given a biography up to 98% accuracy. Iteratively masked different attributes of the text to see effect on gender prediction performance.

Natural Language Processing (NLP)Large Language Models (LLM)Data AnalysisMachine Learning Algorithms

Oracle

Application Engineer

Jul 2021 – Aug 2022 · 1 yr 1 mo · Hyderabad, Telangana, India

1. Developed cloud-native applications for Oracle ERP Products as a key member of the Fusion Financials Development Team, proficiently utilizing front-end (JSF) and back-end (SQL) frameworks.
2. Resolved priority customer bugs and implemented enhancements to optimize product performance, demonstrating exceptional problem-solving skills and commitment to exceeding customer expectations.

JavaServer Faces (JSF)SQLCloud-native applications

Icelandic institute for intelligent machines

Summer Research Intern

May 2020 – Jul 2020 · 2 mos

Implemented and rigorously tested Q-Learners, Double Deep Q-Networks, and XCS Learners for the SAGE AI evaluation platform, comparing results across different learners and tasks

Reinforcement LearningQ-LearnersDouble Deep Q-Networks