Who is Rahul Singhal? Overview
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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.
Email format at Quantiphi
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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.
Rahul Singhal's current company
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Rahul Singhal work experience
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Software Engineer
- 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
Research Associate
- 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
Teaching Assistant
- 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
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
Data Science - Ai/ Ml Intern
- 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
Undergraduate Student Researcher
Ml Researcher
- 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
Gwoc Contributer
Software Engineer
- 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
Deep Learning Intern
Rahul Singhal education
Bachelor Of Technology - Btech, Computer Science, 9.2/10
Master Of Science - Ms, Computer Science, 4.0/4.0
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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