Patents by Inventor Ashutosh Pandey

Ashutosh Pandey has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250047836
    Abstract: Systems and methods for performing data analytics on sensitive data, such as deduplication are disclosed herein. A first request to perform a first data analytics operation for a set of sensitive data instances may be received. A first set of image representations for the set of sensitive data instances may be retrieved. A first sensitive data instance and a second sensitive data instance may be clustered into a first cluster. The first data analytics operation may be performed on the first cluster.
    Type: Application
    Filed: October 18, 2024
    Publication date: February 6, 2025
    Applicant: Citibank, N.A.
    Inventors: Leena Mary Francis, Vaibhav Kumar, Ashutosh Pandey
  • Publication number: 20250028510
    Abstract: Systems and methods for generating a platform-agnostic data pipeline via a low code transformation layer are disclosed. The system receives one or more user selections of (i) nodes and (ii) links linking the nodes, indicating a data pipeline architecture of transfer/management/flow of data via a GUI. In response to receiving a user selection to implement the data pipeline, the system automatically identifies/generates a set of code portions, based on one or more software objects (e.g., JSON objects) associated with the user selections indicating the data pipeline architecture. The system then identifies a platform identifier associated with a remote server and generates a set of executable instructions (e.g., a script, executable program, or other file) associated with the data pipeline architecture by using a transformation component. The system then provides the executable instructions to the remote server to host the data pipeline.
    Type: Application
    Filed: October 3, 2024
    Publication date: January 23, 2025
    Inventors: Vaibhav Kumar, Ashutosh Pandey, Tanujit Ghosh
  • Patent number: 12204565
    Abstract: A system facilitates a process for automatically generating artificial intelligence (AI) models. The system receives a first natural language input from a user that includes a set of phrases and an instruction to analyze data associated with the set of phrases using an AI model. The system accesses a metadata graph to determine a node corresponding to the set of phrases, where nodes in the metadata graph indicate internal data objects stored in data silos. The system processes the internal data objects indicated by the determined node to generate a first set of application data. The AI model is applied to the first set of application data to generate one or more outputs. Additional user inputs can be received to modify the first set of application data and apply the AI model to the modified data, until a desired data pipeline for the model has been constructed.
    Type: Grant
    Filed: September 17, 2024
    Date of Patent: January 21, 2025
    Assignee: CITIBANK, N.A.
    Inventors: Linfeng Yu, Vaibhav Kumar, Ashutosh Pandey
  • Publication number: 20250013446
    Abstract: Systems and methods for facilitating updates to data pipelines using modularly-generated platform-agnostic data pipeline portions are disclosed. The system receives a user selection of a portion of a data pipeline comprising (i) a set of nodes each indicating a data pipeline component and (ii) a set of links linking the set of nodes. The system then generates a modular-portion of the data pipeline architecture, via a transformation component, based on the user selection and stores the modular-portion of the data pipeline architecture in a remote database. The system then receives an update to at least one node of the set of nodes of the modular-portion of the data pipeline architecture. The system then updates at least a subset of a set of pre-existing data pipelines that use the generated modular-portion of the data pipeline to incorporate the update to the at least one node of the set of nodes.
    Type: Application
    Filed: September 21, 2024
    Publication date: January 9, 2025
    Applicant: Citibank, N.A.
    Inventors: David BENAMU, Hila GARDI, Mor GELBERG, Hadar KARBY, Vaibhav KUMAR, Ashutosh PANDEY, Miriam SILVER
  • Publication number: 20240406619
    Abstract: A method includes receiving a first signal, wherein the first signal is an audio signal. The method further includes providing the first signal to a first comparison circuit. The method further includes providing the first signal to a second comparison circuit. The method further includes receiving, from the first comparison circuit, a first comparison signal. The method further includes receiving, from the second comparison circuit, a second comparison signal. The method further includes providing a wake-up signal to a processing device based on the first comparison signal and the second comparison signal.
    Type: Application
    Filed: June 5, 2023
    Publication date: December 5, 2024
    Applicant: Cypress Semiconductor Corporation
    Inventors: Eashwar Thiagarajan, Rodolfo Gondim Lossio, Ding Ma, Nidhin Mulangattil Sudhakaran, Andrew Page, Ashutosh Pandey, Bert Sullam
  • Publication number: 20240404544
    Abstract: A method includes receiving, by a processing device, an audio sample of a distorted voice. The method further includes extracting a first set of characteristics from the audio sample. The method further includes selecting a second set of characteristics. The second set of characteristics is associated with one of a set of reference audio samples. The method further includes generating an undistorted audio sample. The undistorted audio sample is based on the distorted audio sample, the first set of characteristics, and the second set of characteristics.
    Type: Application
    Filed: June 5, 2023
    Publication date: December 5, 2024
    Applicant: Cypress Semiconductor Corporation
    Inventors: Oleg KAPSHII, Igor KRAVETS, Andrii TSEMKO, Ashutosh PANDEY
  • Publication number: 20240378038
    Abstract: Implementations disclosed describe methods and systems to perform the methods of deploying and executing machine learning models on target-specific computational platforms. Optimization techniques include but are not limited to alignment of kernel operations with hardware instructions of a target processing device, reduction of kernel dimensions near boundaries of data, efficient reuse of a small number of memory components during neural network operations, run-time quantization of data and neural network parameters, and other methods.
    Type: Application
    Filed: July 25, 2024
    Publication date: November 14, 2024
    Applicant: Cypress Semiconductor Corporation
    Inventors: Ashutosh Pandey, Kaiping Li, Vikram Kumar Ramanna
  • Patent number: 12135740
    Abstract: Systems and methods for reducing data retrieval times when accessing siloed data across disparate locations by generating a unified metadata graph via a Retrieval-Augmented Generation (RAG) framework are disclosed. The system selects a first Large Language Model (LLM) prompt corresponding to a first metadata identifier of the set of metadata identifiers. The system then augments the first LLM prompt with the first metadata identifier to be provided to an LLM, where the LLM is configured to generate a first intermediate output. The system then augments the first LLM prompt with the second set of metadata identifiers corresponding to the first metadata identifier to be provided to the LLM, where the LLM generates a second intermediate output. The system then generates a domain-specific unified metadata graph. Responsive to determining that first performance metrics fail to satisfy a performance criteria, the system performs an update process on the domain-specific unified metadata graph.
    Type: Grant
    Filed: April 4, 2024
    Date of Patent: November 5, 2024
    Assignee: CITIBANK, N.A.
    Inventors: Linfeng Yu, Vaibhav Kumar, Ashutosh Pandey
  • Publication number: 20240362693
    Abstract: A method for use in a computing system, comprising: receiving a first input identifying a current product configuration, the current product configuration being specified by a user; generating a signature for the current product configuration; executing, based on the signature, a first machine learning model to obtain one or more past product configurations that have been offered to one or more customers by one or more colleagues of the user; and outputting an indication of the one or more past product configurations.
    Type: Application
    Filed: April 28, 2023
    Publication date: October 31, 2024
    Applicant: Dell Products L.P.
    Inventors: Ashutosh Pandey, Amod Shankar, Pankaj Kumar
  • Patent number: 12130787
    Abstract: Systems and methods for performing data analytics on sensitive data, such as deduplication are disclosed herein. A first request to perform a first data analytics operation for a set of sensitive data instances may be received. A first set of image representations for the set of sensitive data instances may be retrieved. A first sensitive data instance and a second sensitive data instance may be clustered into a first cluster. The first data analytics operation may be performed on the first cluster.
    Type: Grant
    Filed: December 13, 2023
    Date of Patent: October 29, 2024
    Assignee: Citibank, N.A.
    Inventors: Leena Mary Francis, Vaibhav Kumar, Ashutosh Pandey
  • Publication number: 20240346003
    Abstract: Systems and methods for performing data analytics on sensitive data, such as deduplication are disclosed herein. A first request to perform a first data analytics operation for a set of sensitive data instances may be received. A first set of image representations for the set of sensitive data instances may be retrieved. A first sensitive data instance and a second sensitive data instance may be clustered into a first cluster. The first data analytics operation may be performed on the first cluster.
    Type: Application
    Filed: December 13, 2023
    Publication date: October 17, 2024
    Applicant: Citibank, N.A.
    Inventors: Leena Mary Francis -, Vaibhav KUMAR, Ashutosh PANDEY
  • Patent number: 12118338
    Abstract: Systems and methods for facilitating updates to data pipelines using modularly-generated platform-agnostic data pipeline portions are disclosed. The system receives a user selection of a portion of a data pipeline comprising (i) a set of nodes each indicating a data pipeline component and (ii) a set of links linking the set of nodes. The system then generates a modular-portion of the data pipeline architecture, via a transformation component, based on the user selection and stores the modular-portion of the data pipeline architecture in a remote database. The system then receives an update to at least one node of the set of nodes of the modular-portion of the data pipeline architecture. The system then updates at least a subset of a set of pre-existing data pipelines that use the generated modular-portion of the data pipeline to incorporate the update to the at least one node of the set of nodes.
    Type: Grant
    Filed: April 19, 2024
    Date of Patent: October 15, 2024
    Assignee: CITIBANK, N.A.
    Inventors: David Benamu, Hila Gardi, Mor Gelberg, Hadar Karby, Vaibhav Kumar, Ashutosh Pandey, Miriam Silver
  • Patent number: 12112152
    Abstract: Systems and methods for generating a platform-agnostic data pipeline via a low code transformation layer are disclosed. The system receives one or more user selections of (i) nodes and (ii) links linking the nodes, indicating a data pipeline architecture of transfer/management/flow of data via a GUI. In response to receiving a user selection to implement the data pipeline, the system automatically identifies/generates a set of code portions, based on one or more software objects (e.g., JSON objects) associated with the user selections indicating the data pipeline architecture. The system then identifies a platform identifier associated with a remote server and generates a set of executable instructions (e.g., a script, executable program, or other file) associated with the data pipeline architecture by using a transformation component. The system then provides the executable instructions to the remote server to host the data pipeline.
    Type: Grant
    Filed: October 30, 2023
    Date of Patent: October 8, 2024
    Assignee: CITIBANK, N.A.
    Inventors: Vaibhav Kumar, Ashutosh Pandey, Tanujit Ghosh
  • Publication number: 20240319975
    Abstract: Systems and methods for generating a platform-agnostic data pipeline via a low code transformation layer are disclosed. The system receives one or more user selections of (i) nodes and (ii) links linking the nodes, indicating a data pipeline architecture of transfer/management/flow of data via a GUI. In response to receiving a user selection to implement the data pipeline, the system automatically identifies/generates a set of code portions, based on one or more software objects (e.g., JSON objects) associated with the user selections indicating the data pipeline architecture. The system then identifies a platform identifier associated with a remote server and generates a set of executable instructions (e.g., a script, executable program, or other file) associated with the data pipeline architecture by using a transformation component. The system then provides the executable instructions to the remote server to host the data pipeline.
    Type: Application
    Filed: October 30, 2023
    Publication date: September 26, 2024
    Inventors: Vaibhav Kumar, Ashutosh Pandey, Tanujit Ghosh
  • Publication number: 20240319976
    Abstract: Systems and methods for facilitating updates to data pipelines using modularly-generated platform-agnostic data pipeline portions are disclosed. The system receives a user selection of a portion of a data pipeline comprising (i) a set of nodes each indicating a data pipeline component and (ii) a set of links linking the set of nodes. The system then generates a modular-portion of the data pipeline architecture, via a transformation component, based on the user selection and stores the modular-portion of the data pipeline architecture in a remote database. The system then receives an update to at least one node of the set of nodes of the modular-portion of the data pipeline architecture. The system then updates at least a subset of a set of pre-existing data pipelines that use the generated modular-portion of the data pipeline to incorporate the update to the at least one node of the set of nodes.
    Type: Application
    Filed: April 19, 2024
    Publication date: September 26, 2024
    Applicant: Citibank, N.A.
    Inventors: David BENAMU, Hila GARDI, Mor GELBERG, Hadar KARBY, Vaibhav KUMAR, Ashutosh PANDEY, Miriam SILVER
  • Patent number: 12079608
    Abstract: Implementations disclosed describe methods and systems to perform the methods of deploying and executing machine learning models on target-specific computational platforms. Optimization techniques include but are not limited to alignment of kernel operations with hardware instructions of a target processing device, reduction of kernel dimensions near boundaries of data, efficient reuse of a small number of memory components during neural network operations, run-time quantization of data and neural network parameters, and other methods.
    Type: Grant
    Filed: October 28, 2021
    Date of Patent: September 3, 2024
    Assignee: Cypress Semiconductor Corporation
    Inventors: Ashutosh Pandey, Kaiping Li, Vikram Kumar Ramanna
  • Publication number: 20240289680
    Abstract: Systems, apparatuses and methods provide technology that identifies a plurality of data samples of a data set. In response to a trigger, the technology identifies a first subset of samples of the plurality of data samples that are outside a range associated with a decision boundary of a machine learning model, and removes the first subset of samples from the data set to generate a modified training set. The technology train the machine learning model based on the modified training set.
    Type: Application
    Filed: February 15, 2023
    Publication date: August 29, 2024
    Applicant: Meta Platforms, Inc.
    Inventors: Yue Xing, David Yan, Fei Wu, Pamela Bhattacharya, Ashutosh Pandey
  • Publication number: 20240276532
    Abstract: Systems, methods, and devices enhance data throughput in wireless devices. Methods may include determining, using a processing device comprising processing elements, a plurality of wireless parameters representing wireless data features on a wireless communications channel, and determining, using the processing device, a plurality of interference parameters based, at least in part, on the plurality of wireless parameters, the plurality of interference parameters identifying interference events on the wireless communications channel. The methods may also include generating one or more data transmission pattern modifications based, at least in part, on the plurality of interference parameters.
    Type: Application
    Filed: February 9, 2023
    Publication date: August 15, 2024
    Applicant: Cypress Semiconductor Corporation
    Inventors: Vikram Kumar Ramanna, Kiran ULN, Ashutosh Pandey, Rakesh Taori
  • Patent number: 12052393
    Abstract: This disclosure describes a conferencing device with beamforming and echo cancellation that includes: a microphone array that further comprises a plurality of microphones oriented to develop a corresponding plurality of microphone signals; a processor configured to execute the following steps: (1) performing a beamforming operation; (2) performing an acoustic echo cancellation operation; (3) post processing; (4) selecting one or more of the post processed signals for transmission to the far end where a signal selector uses the far end signal as information to inhibit the signal selector from changing the selection of the post processed signals while only the far end signal is active.
    Type: Grant
    Filed: August 24, 2023
    Date of Patent: July 30, 2024
    Assignee: ClearOne, Inc.
    Inventors: Ashutosh Pandey, Darrin T. Thurston, David K. Lambert, Tracy A. Bathurst
  • Patent number: 12027156
    Abstract: Described are techniques for noise-robust and speaker-independent keyword spotting (KWS) in an input audio signal that contains keywords used to activate voice-based human-computer interactions. A KWS system may combine the latent representation generated by a denoising autoencoder (DAE) with audio features extracted from the audio signal using a machine learning approach. The DAE may be a discriminative DAE trained with a quadruplet loss metric learning approach to create a highly-separable latent representation of the audio signal in the audio input feature space. In one aspect, spectral characteristics of the audio signal such as Log-Mel features are combined with the latent representation generated by a quadruplet loss variational DAE (QVDQE) as input to a DNN KWS classifier.
    Type: Grant
    Filed: February 22, 2022
    Date of Patent: July 2, 2024
    Assignee: Cypress Semiconductor Corporation
    Inventors: Aidan Smyth, Ashutosh Pandey, Avik Santra