Who is Riya Singhal? Overview
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Riya Singhal is listed as LLM Software Engineer at Otter.ai, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a matched LinkedIn profile for Riya Singhal.
Riya Singhal previously worked as Machine Learning Engineer at Bny and Graduate Teaching Assistant (10601) at Carnegie Mellon University. Riya Singhal holds Master Of Science - Ms, Artificial Intelligence, 4.08/4.0 from Carnegie Mellon University.
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Otter.ai
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Profile bio
About Riya Singhal
Passionate about driving innovation in AI and machine learning, I am currently pursuing a Master of Science in Artificial Intelligence at Carnegie Mellon University. My journey has equipped me with a robust foundation in both Artificial Intelligence and Software Engineering. Through hands-on experience as an AI Engineer Intern at Deem Asset Management as well as a Machine Learning Engineer and Software Engineer at JP Morgan Chase, I have honed my skills in Python, Java, Database Querying(SQL/MongoDB/Neo4j), Azure, AWS, and frameworks like PyTorch, LlamaIndex and Langchain, among others. These roles have allowed me to tackle complex challenges and deliver impactful solutions, showcasing my ability to build and integrate AI solutions effectively.I am deeply motivated by the potential of AI-based companies to solve challenging problems, particularly in the areas of Multimodal ML, RAG, LLMs, LLM fine-tuning, QA and AI agents. Additionally, I am interested in exploring domains such as fintech, healthcare and privacy. My goal is to scale innovative solutions in these fields, ultimately building accessible and transformative AI products that democratize technology and drive positive societal impact.Let's connect and explore opportunities for collaboration and innovation.
Listed skills include Computer Vision, Image Processing, Machine Learning, Java, and 12 others.
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11 roles
Riya Singhal work experience
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Machine Learning Engineer
Graduate Teaching Assistant (10601)
Working as a graduate teaching assistant under Professor Ralf Brown for course 10-601 Coding Boot Camp.
Artificial Intelligence Engineer
Jun 2024 - Aug 2024
Graduate Teaching Assistant (11797)
Worked as a graduate teaching assistant under Dr. Eric Nyberg and Dr. Teruko Mitamura for the 11-797 Question Answering course.
Jan 2024 - May 2024
Sep Software Engineer
▪ Transformed a legacy EJB payment processing system into a high-performance Spring Batch application, resulting in accelerated processing speed, reduced downtime, and improved scalability for handling huge volumes of transactions.▪ Spearheaded a pivotal database migration initiative to Liquibase platform, while concurrently overseeing documentation and knowledge transfer sessions to ensure seamless transition for a 25-person team.▪ Automated testing for merchants to maintain accurate general ledger records, leading to 70% reduction in testing efforts for developers.▪ Announced “Crowdsource Q1 2023” winners for building enterprise release management tool that boosted product delivery throughput.
Jun 2022 - Jun 2023
Creative Head
▪ Coordinated and supervised several teams, including the admin and documentation team, the content planning team, and the design team to effectively organize the content for a variety of events conducted by RIAC.▪ Appointed as Editor-in-Chief for the second edition of the Shaastra Magazine, RIAC’s annual supplement meant for showcasing research work carried out by the students of the campus.▪ Undertook a range of social media initiatives such as "Noble Laureates", "Unsung Scientists" during the pandemic to promote the campus’s research culture.
Sep 2021 - Jun 2022
Machine Learning Engineer Intern (Sep)
▪ Developed ML-driven break advisor system for optimizing daily reconciliation process, attaining 94.8% accuracy in root cause prediction with random forest classifier.▪ Formulated algorithm for analyzing large financial datasets, reducing human involvement by approximately 40% in identifying combinations of transactions amounting to given fault value.
May 2021 - Jul 2021
Member (Ai/Ml Team)
▪ Managed events organized by the club including technical workshops and competitions having a reach of 400+ students▪ Worked on and mentored several projects related to computer vision and deep learning.
Jan 2019 - Jun 2021
Designer
Responsible for designing graphics, posters and illustrations to effectively publicize the events conducted throughout the year---Coordinator @ DOTSLASH 4.0▪ Conducted the fourth edition of DotSlash, a National Level Hackathon under ASHINE - SVNIT, Surat, India.▪ Acquired Sponsorship worth 37 L+ rupees from 25+ sponsors and gained 800+ registrations making it a grand success.▪ Lead the publicity team in charge of event merchandising and social media marketing.
May 2020 - May 2021
Acm Executive
Jul 2019 - May 2020
4 education records
Riya Singhal education
Master Of Science - Ms, Artificial Intelligence, 4.08/4.0
Bachelor Of Technology - Btech, Computer Engineering, 9.19/10
Hsc 12Th Boards, Science/Computer Science, 95.38%
Hansraj Morarji Junior College Of Science And Commerce
Icse 10Th Boards, 95.5%
FAQ
Frequently asked questions about Riya Singhal
Quick answers generated from the profile data available on this page.
What company does Riya Singhal work for?
Riya Singhal works for Otter.ai.
What is Riya Singhal's role at Otter.ai?
Riya Singhal is listed as LLM Software Engineer at Otter.ai.
Where is Riya Singhal based?
Riya Singhal is based in Pittsburgh, Pennsylvania, United States while working with Otter.ai.
What companies has Riya Singhal worked for?
Riya Singhal has worked for Otter.Ai, Bny, Carnegie Mellon University, Deem Asset Management, and Jpmorgan Chase & Co..
How can I contact Riya Singhal?
You can use AeroLeads to view verified contact signals for Riya Singhal at Otter.ai, including work email, phone, and LinkedIn data when available.
What schools did Riya Singhal attend?
Riya Singhal holds Master Of Science - Ms, Artificial Intelligence, 4.08/4.0 from Carnegie Mellon University.
What skills is Riya Singhal known for?
Riya Singhal is listed with skills including Computer Vision, Image Processing, Machine Learning, Java, Python, C (Programming Language, C++, and Html.
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