- Assisting Dr. Rose Yu at UC San Diego with various initiatives at her lab.
- Conducted research for the advancement of Diffusion models by optimizing temporal dynamics and spatial dimensions to expedite computation and enhance algorithmic efficiency.
Work Experience
Oct 2024 - Present
July 2022 - Aug 2024
Jan 2022 - Jul 2022
Jul 2021 - Dec 2021
Feb 2021 - Dec 2021
Aug 2023 - Mar 2024
Sep 2021 - Nov 2021
Jul 2020 - Oct 2020
Sep 2019 - Nov 2019
Spatiotemporal ML Lab
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Oct 2024 - Present
Machine Learning Researcher
- Assisting Dr. Rose Yu at UC San Diego with various initiatives at her lab.
- Conducted research for the advancement of Diffusion models by optimizing temporal dynamics and spatial dimensions to expedite computation and enhance algorithmic efficiency.
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 - July 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.
Vishwakarma Institute
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Jan 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.
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).
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.
- 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.
- 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).
- 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.