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Rishi Jain is listed as CS @ UC Berkeley, ML @ BAIR | Prev SDE Intern @ Amazon at University of California, Berkeley, based in Saratoga, California, United States. AeroLeads shows a matched LinkedIn profile for Rishi Jain.
Rishi Jain previously worked as Deep Learning Researcher at Berkeley Speech And Computation Lab and Generative AI Researcher at University Of California, Berkeley. Rishi Jain holds Master Of Science - Ms, Electrical Engineering And Computer Science from University Of California, Berkeley.
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I am studying Computer Science at UC Berkeley with a focus on machine learning research. At the university, I am involved in cutting-edge research in speech science and reinforcement learning using NLP, and have taken graduate-level coursework in modern AI techniques. In addition, I am also involved in student groups where I lead projects that involve engineering and pedagogy.In my journey as a computer scientist, I have always aimed to solve problems using the tools at hand. In the past, I have done so by building full-stack applications and Internet of Things devices. This passion is now focused towards machine learning research, where I currently solve problems in medicine, science, and robotics. I am currently looking for an internship in AI which will allow me to continue to solve problems at an even greater scale.
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- Built articulatory-intermediate speech models using GAN-based speech synthesis for global cross-language representation- Constructed interpretable representations of brain waves from ECoG signals corresponding to speech production
- Built a generative language modeling system for automated student query answering using retrieval from course documents and previously answered queries on large-scale student forums - Prompt-tuned and finetuned open-sourced LLMs/text embedding models for use in high-stakes privacy-oriented environments- Explore novel ideas in foundational model alignment and hallucination prevention in the education space- Papers: Anonymous - AAAI EAAI 2024 (first author, under review), Anonymous - SIGCSE ACE 2024 (first author, under review)
- Constructed new interpretable representations for universal foundational speech models based on multimodal articulatory measurement data spanning across audio, EMA, rt-MRI, X-ray, EMG, and more - Independently developed a novel point recognition algorithm for low-resource training using Kullback–Leibler divergence of spatial probability maps for use in extracting multispeaker articulatory MRI representations, used in speech synthesis, avatar generation, and speech pathology; trained large-scale models with distributed parallel processing- Paper: Deep Articulatory MRI Feature Extraction - IEEE ICASSP 2024 (first author, under review), Multimodal Pretraining for Vocal Tract Modeling - CVPR 2024 (first author, under review)
- Develop essential tooling and explore other research avenues for the organization- Provide insight to active leadership
Berkeley, California, United States
- Managed a team of 25 instructional staff in the development and instruction of a college-level data science and machine learning course which taught 150 students from underrepresented communities each semester - Led an additional 25 web developers and instructors in the production and deployment of a standalone comprehensive data science educational web platform complete with video instruction and virtually-hosted programming assignments
- Explore the intersection of RL and NLP in robotic environments by utilizing natural language associations from LLMs with learned tasks to promote zero-shot generalization to new tasks, with a focus on long-horizon planning- Use multimodal Minecraft gameplay videos with player audio to perform unsupervised language-aligned skill discovery and to learn dynamics models- Read and discuss novel developments in deep learning research and their implications on the future of ML research
- Led a team of junior researchers through the ideation, planning, experimentation, and writing of a conference-level publication- Investigated the feasibility of retrieval-augmented LLMs and chain-of-thought prompting to solve long-horizon RL tasks
- Designed and independently constructed a tool for automated change order checking in a product lifecycle management system for business rule violations on-demand, designed for efficient and scalable high-throughput usage - Built end-to-end framework using React, Route53 hosting, and AWS serverless compute including Lambda and Step Functions communicating with S3 hosting- Certifications for AWS tools with a focus on machine learning management/scaling and distributed learning
- Propose a hybrid generative flow model with a variational autoencoder for data augmentation of sparse and imbalanced datasets- Lead the design and development of a semi-supervised conditional normalizing flow model to sample synthetic individualized thermal comfort data from available imbalanced classes
- Design and oversee the construction of props for a competitive collegiate dance team- Engineer electronics controlled by microcontrollers to create special effects that complement the performance- Lead the development of a 10-minute set that travels across the nation
- Contribute to the professional development of a group of the top computer science students at UC Berkeley- Organize career panels for the CS community and lead the content creation for weekly presentations on advanced CS principles
- Built a client and developer dashboard with cost-effective database communication and led a team of analytics interns to further provide extensive user acquisition data- Created a better user onboarding experience by implementing activity-tracking for improved analytics- Improved the Angular-based main application interface by fixing bugs and implementing new features
Berkeley, California, United States
- Data Analyst working with Lyft- Perform competitor analysis to provide insight to Lyft on how to break into the on-demand public transit industry- Work with a team to produce a final deliverable to give Lyft recommendations on its next steps
San Jose, California, United States
- Taught middle school students Chemistry- Ran a Computers elective that introduced programming and electronics to an underrepresented community
Activities and Societies: Berkeley AI Research, Machine Learning at Berkeley, Big Data at Berkeley, UC Berkeley AzaadFocus on machine.
Activities and Societies: President of the Internet of Things Club, Officer of the Indian Cultural Awareness Club, National Merit Finalist
Quick answers generated from the profile data available on this page.
Rishi Jain works for University of California, Berkeley.
Rishi Jain is listed as CS @ UC Berkeley, ML @ BAIR | Prev SDE Intern @ Amazon at University of California, Berkeley.
Rishi Jain is based in Saratoga, California, United States while working with University of California, Berkeley.
Rishi Jain has worked for Berkeley Speech And Computation Lab, University Of California, Berkeley, Berkeley Artificial Intelligence Research, Big Data At Berkeley, and Machine Learning At Berkeley.
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Rishi Jain holds Master Of Science - Ms, Electrical Engineering And Computer Science from University Of California, Berkeley.
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