Khush Mody

Khush Mody

Research Intern, Data Analytics

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location of Khush ModyLos Angeles, California, United States

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  • Timeline

  • About me

    Ms CS @USC | NTU Research Intern | Samsung Prism Researcher | Ex NUS | Ex HPE

  • Education

    • University of Southern California

      2022 - 2024
      Master of Science - MS Computer Science

      Courses - Analysis Of Algorithms, Database Systems, Machine Learning, Applied Natural Language Processing, AI for Sustainable Development, Web Technologies

    • Narsee Monjee Educational Trust's - Jamnabai Narsee School

      2004 - 2016
      10th standard 94%
    • SRM University

      2018 - 2022
      Bachelor of Technology - BTech Computer Science 9.8/10

      First Class with DistinctionRecipient of Academic Excellence Scholarship

  • Experience

    • National University of Singapore

      Dec 2019 - Jan 2020
      Research Intern, Data Analytics

      Data Analytics using Deep Learning.

    • Hewlett Packard Enterprise

      Dec 2019 - Jan 2020
      Research Intern, Data Analytics

      Data Analytics using Deep Learning

    • APSIS Solutions

      Jul 2020 - Dec 2020
      Machine Learning Intern

      •Built a model for face recognition at a distance using OpenCV and a custom CNN model for deployment.•Trained new employees on Raspberry Pi and devised detection and recognition of Vehicle Plates as part of a project.•Constructed a model using tiny yoloV3 for number plate detection and google cloud platform for optical character recognition of the number plate.

    • Samsung Electronics

      Apr 2021 - Dec 2021
      Software Intern

      • Developed a precise language identification detector for code-switched utterances in English-Tamil, utilizing CNN and RNN with individual accuracies of 97% and 91%, respectively.• Designed specifically for integration into Bixby, Samsung's Voice Assistant, enhancing its language processing capabilities.

    • Corporate Gurukul

      May 2021 - Jun 2021
      AI subject matter expert
    • Nanyang Technological University

      Jan 2022 - Jun 2022
      Research Intern - NLP

      • Specialized in answer sentence selection within a specific domain, applying the advanced TANDA model that integrates BERT for Question Answering.• Built an efficient dataset by leveraging the strategyQA and wiki dump, this resulted in a 10% reduction in runtime.

    • National University of Singapore

      Jun 2022 - Jul 2022
      Teaching Assistant

      • Course: Data Analytics using Deep Learning• Managed 100 students, assisted during lectures, graded assignments and conducted Doubt Clearing Sessions• Developed a pre-requisite course for students not majoring in computer science to take before attending the lecture• Was an academic intern for the above course in winter 2019 and based on my performance was offered TAship

    • USC School of Pharmacy

      Aug 2022 - May 2024
      AI Specialist

      • Analyzed historical data to recommend courses and their sequence, guiding students to their desired career paths.• Proposed and executed these recommendations at USC led to an 8% increase in student career match rate.

    • Tata Consultancy Services

      Jun 2023 - Jul 2023
      Research Intern - Generative AI

      • Spearheaded a Text-to-Video generation project by employing generative AI, putting research papers into practice such as Text-to-video Zero, ControlVideo, and makeLongVideo.• Produced a video of the New York City Marathon conducted by TCS, subsequently utilized by them for their advertising campaign which was viewed by more than 2 million worldwide.

    • Brain Technologies, Inc.

      Jun 2024 - Sept 2024
      Generative AI Backend Engineer

      * Developed an autocomplete feature using LLMs, enhanced with contextual awareness by incorporating user query history from Redis to improve suggestion relevance.* Prototyped a personalized learning system that adapts to user learning styles and knowledge levels, using LLM orchestration to identify relevant modules and RAG to ensure factual accuracy.* Implemented prompt engineering and prompt fine-tuning using few-shot learning and chain of thought reasoning to produce consistent and accurate outputs Show less

    • Reli.

      Sept 2024 - now
      Software Engineer

      * Developed a sales data analysis dashboard for Amazon products, providing actionable insights for the advertising team.* Debugged and resolved critical script failures that were blocking automated ad creation for SBA and Video campaign types.* Implemented a structured API integration system with Pydantic validation for managing Amazon product targets across create/update/archive operations.* Created an underperforming products dashboard with automated bid adjustment functionality, enabling one-click optimization to improve ad placement.* Configured a testing droplet that mirrored the production environment, ensuring reliable testing without affecting live systems. Show less

  • Licenses & Certifications