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Rishabh Chaturvedi

Rishabh Chaturvedi

Work History

Samsung Search

Senior Software (Machine Learning) Engineer
03.2024 - Current

Job overview

  • Extensively pursuing research opportunities to further enhance technical expertise and contribute to Samsung's intellectual property portfolio
  • Proficient in training and optimizing lightweight on-device models tailored for closed-domain question answering and text retrieval
  • Expanded Samsung Search's language support by implementing custom-trained models, enabling image-text search on edge devices
  • Enhanced and configured Large Language Model (LLM) inference speed to efficiently generate results for a substantial volume of prompts simultaneously while ensuring optimal latency
  • Authored a research paper on my work and submitted it to internal Samsung conference, while also filing a provisional patent application to safeguard the innovative use-case
  • Streamlined model integration by converting PyTorch codes to TensorFlow framework, enabling integration with available TensorFlow libraries.

Samsung Search

Software (Machine Learning) Engineer
01.2024 - 03.2024

Job overview

  • Dedicated to enhancing Samsung's on-device (offline) search by leveraging advanced algorithms and techniques that prioritize understanding the user's intent, as opposed to just the user's query
  • Developing a custom dataset that addresses domain-specific search challenges by collecting data from user manuals, blogs, and websites
  • Addressing data imbalance challenges by applying advanced sentence augmentation techniques and training a classification model using the triplet loss function
  • This approach has resulted in a model capable of accurately classifying triple-digit intents with an acceptable F1-score
  • Prioritizing technical efficiency, focused on optimizing the model to fit within the device's memory constraint of just 1 MB and achieve a search latency of under 20 ms
  • Recognized for exceptional performance and technical expertise, promoted to Senior Software Engineer within just 1 year and 2 months, bypassing the usual 2-year promotion cycle.

Intelligent Platforms and services

Summer Intern
05.2024 - 07.2024

Job overview

  • Identified and pre-processed an open-source dataset from Huffpost cataloging about 200K news headlines into 12 categories
  • Exploiting Pre-trained Glove Embeddings, trialed with different neural network architecture to build a multi-class topic classifier
  • Delivered a comprehensive comparative analysis of CNN, LSTM, Bi-LSTM, and multi-layer LSTM models, utilizing Tensorflow and Keras libraries, and optimizing evaluation metrics, such as AUC-ROC score, through the categorical cross-entropy loss function
  • Proposed attention mechanism to extract keywords from sentences to build a user-interest profile and personalized advertisements
  • Offered Pre-Placement Offer as Software Developer.

On-Device AI

Summer Intern
05.2024 - 07.2024

Job overview

  • Working on making a real-Time Water Health Monitoring Instrument version in an IoT based start-up focused on water resource management
  • Brainstormed with the core team and presented ideas to resolve difficulties coming in the final deployment of the product
  • Took the initiative to implement my solutions and worked on the design and manufacturing polypropylene caps capable of creating a separate lab-like environment for reading, calibration, and cleaning of sensors enabling their long term use in open environments
  • Recommended and tested ultrasonic cleaning mechanism to clean the sensor head with pre-set time intervals in real-time usage
  • Examined use of PGA460, 555-timer integrated circuits to customize ultrasonic generator circuit for transducers input.

Timeline

Summer Intern

Intelligent Platforms and services
05.2024 - 07.2024

Summer Intern

On-Device AI
05.2024 - 07.2024

Senior Software (Machine Learning) Engineer

Samsung Search
03.2024 - Current

Software (Machine Learning) Engineer

Samsung Search
01.2024 - 03.2024

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