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Rahul Singhal Email & Phone Number

Machine Learning Engineer at Quantiphi
Location: New York, New York, United States 11 work roles 2 schools
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Current company
Role
Machine Learning Engineer
Location
New York, New York, United States

Who is Rahul Singhal? Overview

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Quick answer

Rahul Singhal is listed as Machine Learning Engineer at Quantiphi, based in New York, New York, United States. AeroLeads shows a matched LinkedIn profile for Rahul Singhal.

Rahul Singhal previously worked as Software Engineer at Cahoot and Research Associate at Nyu Grossman School Of Medicine. Rahul Singhal holds Bachelor Of Technology - Btech, Computer Science, 9.2/10 from Jaypee Institute Of Information Technology.

Company email context

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Quantiphi

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Profile bio

About Rahul Singhal

Hello! I'm Rahul Singhal, pursuing a Master’s in Computer Science at NYU (GPA 4.0/4.0), with a B.Tech in Computer Science from Jaypee Institute of Information Technology (GPA 9.2, First Division).With 4+ years of experience at Cahoot.AI, NYU Langone Health, AXA XL, and others, I’ve contributed to technology advancement, machine learning, and research, including 6+ publications in IEEE Transactions. My ML work includes projects using TensorFlow, PyTorch, and AWS Sagemaker, along with practical experience in AI and data science.Skilled in Python, C++, Java, TensorFlow, AWS, Azure, Kubernetes, and frameworks like React.js, Django, and Spring Boot, I specialize in building scalable applications, cloud platforms, and machine learning systems. I’m eager to apply my expertise in impactful projects with innovative teams.

Listed skills include Python, Java, Software Development, Machine Learning, and 3 others.

Current workplace

Rahul Singhal's current company

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Quantiphi
Quantiphi
Machine Learning Engineer
Boston, MA, US
AeroLeads page
11 roles

Rahul Singhal work experience

A career timeline built from the work history available for this profile.

Machine Learning Engineer

Boston, MA, US

Software Engineer

Bridgeport, Connecticut, United States

  • Created 3 new revenue channels by leveraging third-party APIs for e-commerce fulfillment integrations with Walmart, Tiktok, & NetSuite
  • Increased customer traction with 40% uptick in SEO/Accessibility performance tracked through Google analytics
Jun 2024 - Aug 2024

Research Associate

New York, United States

  • Implemented Python, FreeSurfer, and MATLAB for assessing brain’s locus coeruleus (LC) effect on aging and stress
  • Employed Variational Autoencoders study the cognitive decline in Alzheimer’s Disease (AD) progression due to LC
Jan 2024 - May 2024

Teaching Assistant

New York City Metropolitan Area

  • Regular student facilitation for parallel computing course including CUDA, MPI, and OpenMP for GPU processing
  • All round support offering in-depth assistance to 100+ students for mastering Linux/C++ programming
Sep 2023 - May 2024

Software Engineer

  • Put into practice Python, SQL, and VBA for financial modeling of the Actuarial Transformation Project (ATP)
  • Developed 15+ visualization dashboards using Power BI & Tableau providing relevant performance indicators
  • Achieved a 95% reliability in forecasting by deploying automated pipelines utilizing AWS EC2, EC3 for scalability
Aug 2022 - Jul 2023

Data Science - Ai/ Ml Intern

India

  • Implemented Transformers, GANs for NLU based QA system to address tool selection user queries in the heavymanufacturing industry while employing Docker and Kubernetes to support over 10k+ daily search requirements
  • Constructed Graph Databases using Neo4j, interlinking diverse attributes and microservices hosted on AWS Cloud
Oct 2021 - Aug 2022

Ml Researcher

Toronto, Ontario, Canada

  • Engineered a domain-agnostic weighted stacking ensemble model with sampling (WSEM-S) for efficient spamreview detection across multiple E-commerce websites, mitigating the challenge of unbalanced class distribution
  • This model, leveraging ensemble-based learning, n-gram modelling, and sampling techniques, exhibited accuracysurpassing previous benchmarks by over 16 %; Published paper and awarded 15000 CAD GRI fellowship
Jun 2021 - Jan 2022

Software Engineer

New Delhi, Delhi, India

  • Created an Ed-tech Learning Management System using ASP.NET, CI/CD with Azure, and periodic unit testing
  • Established monitoring using the ELK stack; Growth of 50% y-o-y in website traffic with higher website leads
Jan 2020 - May 2021
2 education records

Rahul Singhal education

Master Of Science - Ms, Computer Science, 4.0/4.0

Courses: DS-GA-1011: Natural Language Processing CSCI-GA - 2565: Machine Learning CSCI-GA.1170: Fundamental Algorithms CSCI-GA.2110.

FAQ

Frequently asked questions about Rahul Singhal

Quick answers generated from the profile data available on this page.

What company does Rahul Singhal work for?

Rahul Singhal works for Quantiphi.

What is Rahul Singhal's role at Quantiphi?

Rahul Singhal is listed as Machine Learning Engineer at Quantiphi.

Where is Rahul Singhal based?

Rahul Singhal is based in New York, New York, United States while working with Quantiphi.

What companies has Rahul Singhal worked for?

Rahul Singhal has worked for Quantiphi, Cahoot, Nyu Grossman School Of Medicine, Nyu Courant Institute Of Mathematical Sciences, and Axa Xl.

How can I contact Rahul Singhal?

You can use AeroLeads to view verified contact signals for Rahul Singhal at Quantiphi, including work email, phone, and LinkedIn data when available.

What schools did Rahul Singhal attend?

Rahul Singhal holds Bachelor Of Technology - Btech, Computer Science, 9.2/10 from Jaypee Institute Of Information Technology.

What skills is Rahul Singhal known for?

Rahul Singhal is listed with skills including Python, Java, Software Development, Machine Learning, Data Science, Deep Learning, and Sql.

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