- Collaborated with the Video Codecs Team at PlayStation to advance foundational research and development at the intersection of AI and video codec technologies, enabling intelligent compression and adaptive streaming capabilities.
Work Experience
Jun 2025 - Present
Sony Interative Entertainment
Visit website ↗Machine Learning Intern
San Francisco Bay Area, California
Jul 2022 - Aug 2024
Jan 2022 - Jul 2022
Feb 2021 - Dec 2021
Sep 2024 - Present
Jul 2021 - Dec 2021
Aug 2023 - Mar 2024
Sep 2021 - Nov 2021
Jul 2020 - Oct 2020
Sep 2019 - Nov 2019
Sony Interactive Entertainment
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Jun 2025 - Present
Machine Learning Intern
- Collaborated with the Video Codecs Team at PlayStation to advance foundational research and development at the intersection of AI and video codec technologies, enabling intelligent compression and adaptive streaming capabilities.
Pivotchain Solutions
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Jul 2022 - Aug 2024
Machine Learning Engineer
- Led a cross-functional team for the agile development of an AI System, designing Computer Vision algorithms to provide a scalable and real-time interface for autonomous event monitoring achieving 70% faster threat containment (MTTC).
- Implemented a Spatio-Temporal Autoencoder model to validate AI-generated video clips, precisely classifying 15,000+ daily security events, reducing false positives by 30% and saving $250K annually in operational costs.
- Optimized MongoDB queries to efficiently handle over 10 Million records of video surveillance JSON data, reducing data retrieval times by 55% and improving overall system performance for end-users across multiple regions.
- Leveraged advanced streaming protocols such as RTSP, RTMP, HTTP, HTTPS, and WebSocket for real-time live streaming from cameras.
Qualys Inc.
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Jan 2022 - Jul 2022
Software Development Intern
- Architected end-to-end CI/CD pipelines with Groovy and Docker, reducing deployment time from 30 to 10 minutes and enabling 200+ successful deployments monthly across multiple environments.
- Streamlined the orchestration of high-availability microservices deployment using Kubernetes, achieving 99% uptime and handling 1 Million+ daily requests across 3 production environments.
Validus Analytics LLP
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Feb 2021 - Dec 2021
Machine Learning Intern
- Analyzed Vector-Quantized VAEs (VQ-VAEs) and Convolutional VAEs (Conv-VAEs) for unsupervised learning of complex data via latent representations and generative modeling.
- Implemented ConvVAE-based generative modeling for dataset enhancement, expanding a critical training dataset from 50,000 to 150,000 samples while maintaining high perceptual integrity (SSIM > 0.85).
Spatiotemporal ML Lab
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Sep 2024 - Present
Machine Learning Researcher
- Assisting Dr. Rose Yu at UC San Diego with various initiatives at her lab.
- Conducted research for DYffusion, a dynamics-informed diffusion model for spatiotemporal climate forecasting, improving predictive accuracy by 30% through CRPS loss integration for stochastic representation and uncertainty quantification.
Vishwakarma Institute
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Jul 2021 - Dec 2021
Machine Learning Researcher
- Spearheaded the development of a research paper summarization system using a BERT-based encoder, improving ROUGE-1 scores from 0.35 to 0.46 compared to baseline extractive summarization methods.
- Conducted research on transformers and multi-head self-attention mechanisms, for enhanced language modeling.
Pixstory
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Aug 2023 - Mar 2024
Machine Learning Consultant
- Contributed to building a RAG-based Conversational Search System using Large Language Models (LLMs), improving search relevance and increasing average user session duration by 2 minutes.
- Optimized system throughput and hardware efficiency 3x by implementing asynchronous requests and parallel execution strategies, which cut the average query response time from 2 seconds to 600 milliseconds.
AI For Rural
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Sep 2021 - Nov 2021
Software Development Consultant
- Implemented efficient data preprocessing and visualization pipelines for insightful data handling, intuitive data exploration, and pattern analysis.
- Developed REST APIs and integrated them with various data sources, enabling real-time data updates and reducing data retrieval time by 40% for critical information.
Exa Mobility
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Jul 2020 - Oct 2020
Content Creator
- Pioneered innovative strategies in researching and crafting website content alongside esteemed senior colleagues, resulting in a remarkable surge of approximately 20% in website traffic.
- Collaborated dynamically with the marketing and content team to conceptualize and produce captivating infographics, proposals, and blog posts tailored for both B2B and B2C technology audiences.
- Orchestrated a creative revolution, spearheading the revitalization of the mobile application through imaginative content enhancements and comprehensive overhauls.
Shinobi Brands
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Sep 2019 - Nov 2019
Content Creator
- Innovatively identified and rectified deficiencies within the content development support structure, optimizing workflow processes for enhanced efficiency.
- Collaborated synergistically with strategic planners, business stakeholders, and fellow creatives to ideate, conceptualize, and bring to life compelling brand narratives.
Work Experience
- Led a cross-functional team for the agile development of an AI System, designing Computer Vision algorithms to provide a scalable and real-time interface for autonomous event monitoring achieving 70% faster threat containment (MTTC).
- Implemented a Spatio-Temporal Autoencoder model to validate AI-generated video clips, precisely classifying 15,000+ daily security events, reducing false positives by 30% and saving $250K annually in operational costs.
- Optimized MongoDB queries to efficiently handle over 10 Million records of video surveillance JSON data, reducing data retrieval times by 55% and improving overall system performance for end-users across multiple regions.
- Leveraged advanced streaming protocols such as RTSP, RTMP, HTTP, HTTPS, and WebSocket for real-time live streaming from cameras.
- Architected end-to-end CI/CD pipelines with Groovy and Docker, reducing deployment time from 30 to 10 minutes and enabling 200+ successful deployments monthly across multiple environments.
- Streamlined the orchestration of high-availability microservices deployment using Kubernetes, achieving 99% uptime and handling 1 Million+ daily requests across 3 production environments.
- Analyzed Vector-Quantized VAEs (VQ-VAEs) and Convolutional VAEs (Conv-VAEs) for unsupervised learning of complex data via latent representations and generative modeling.
- Implemented ConvVAE-based generative modeling for dataset enhancement, expanding a critical training dataset from 50,000 to 150,000 samples while maintaining high perceptual integrity (SSIM > 0.85).
- Assisting Dr. Rose Yu at UC San Diego with various initiatives at her lab.
- Conducted research for DYffusion, a dynamics-informed diffusion model for spatiotemporal climate forecasting, improving predictive accuracy by 30% through CRPS loss integration for stochastic representation and uncertainty quantification.
- Spearheaded the development of a research paper summarization system using a BERT-based encoder, improving ROUGE-1 scores from 0.35 to 0.46 compared to baseline extractive summarization methods.
- Conducted research on transformers and multi-head self-attention mechanisms, for enhanced language modeling.
- Contributed to building a RAG-based Conversational Search System using Large Language Models (LLMs), improving search relevance and increasing average user session duration by 2 minutes.
- Optimized system throughput and hardware efficiency 3x by implementing asynchronous requests and parallel execution strategies, which cut the average query response time from 2 seconds to 600 milliseconds.
- Implemented efficient data preprocessing and visualization pipelines for insightful data handling, intuitive data exploration, and pattern analysis.
- Developed REST APIs and integrated them with various data sources, enabling real-time data updates and reducing data retrieval time by 40% for critical information.
- Pioneered innovative strategies in researching and crafting website content alongside esteemed senior colleagues, resulting in a remarkable surge of approximately 20% in website traffic.
- Collaborated dynamically with the marketing and content team to conceptualize and produce captivating infographics, proposals, and blog posts tailored for both B2B and B2C technology audiences.
- Orchestrated a creative revolution, spearheading the revitalization of the mobile application through imaginative content enhancements and comprehensive overhauls.
- Innovatively identified and rectified deficiencies within the content development support structure, optimizing workflow processes for enhanced efficiency.
- Collaborated synergistically with strategic planners, business stakeholders, and fellow creatives to ideate, conceptualize, and bring to life compelling brand narratives.