- Assisting the Chair of the Electrical & Computer Engineering Department at UC San Diego, Dr. Pamela Cosman with various initiatives at her lab.
- Spearheaded the development of a novel region-based video compression method by integrating human attention into Large Language Models (LLMs).
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
Cosman Lab (UC San Diego)
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Oct 2024 - Present
Applied Researcher
- Assisting the Chair of the Electrical & Computer Engineering Department at UC San Diego, Dr. Pamela Cosman with various initiatives at her lab.
- Spearheaded the development of a novel region-based video compression method by integrating human attention into Large Language Models (LLMs).
Pivotchain Solutions
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Jul 2022 - Aug 2024
Machine Learning Engineer
- Led a cross-functional team to design the RAVEN-AI System, developing Computer Vision algorithms to provide a scalable and real-time interface for autonomous event monitoring reducing security threats and incident response time by 70%.
- Implemented Spatio-Temporal Autoencoder to verify AI-generated video clips, accurately classifying true/false positives for 12,000+ daily security events, reducing false positives by 30% and saving $150K annually in operational costs.
- Developed an ONVIF-compliant Video Management System with object tracking, facial and vehicle recognition, automating event monitoring and surveillance equipment management, reducing manual oversight by 40%.
- 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
- Designed multi-stage CI/CD pipelines using Groovy-based declarative pipelines and containerized builds, to streamline workflows and cut average deployment time from 30 minutes to 10 minutes.
- Led the deployment orchestration of policy-compliant microservices across 3 major environments using Kubernetes, ensuring 95% uptime (equating to less than 2 hours of downtime per quarter).
Vishwakarma Institute
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Jan 2021 - Dec 2021
Applied Researcher
- Led the development of a research paper summarization system using BERT-based encoder to capture contextual semantics and generate abstractive summaries.
- Researched extensively on transformers & multi-head self-attention for enhanced language understanding and generation.
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 by 3x through the introduction of asynchronous requests and parallelized execution, reducing 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 RESTful 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 to design the RAVEN-AI System, developing Computer Vision algorithms to provide a scalable and real-time interface for autonomous event monitoring reducing security threats and incident response time by 70%.
- Implemented Spatio-Temporal Autoencoder to verify AI-generated video clips, accurately classifying true/false positives for 12,000+ daily security events, reducing false positives by 30% and saving $150K annually in operational costs.
- Developed an ONVIF-compliant Video Management System with object tracking, facial and vehicle recognition, automating event monitoring and surveillance equipment management, reducing manual oversight by 40%.
- Leveraged advanced streaming protocols such as RTSP, RTMP, HTTP, HTTPS, and WebSocket for real-time live streaming from cameras.
- Designed multi-stage CI/CD pipelines using Groovy-based declarative pipelines and containerized builds, to streamline workflows and cut average deployment time from 30 minutes to 10 minutes.
- Led the deployment orchestration of policy-compliant microservices across 3 major environments using Kubernetes, ensuring 95% uptime (equating to less than 2 hours of downtime per quarter).
- Led the development of a research paper summarization system using BERT-based encoder to capture contextual semantics and generate abstractive summaries.
- Researched extensively on transformers & multi-head self-attention for enhanced language understanding and generation.
- 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 by 3x through the introduction of asynchronous requests and parallelized execution, reducing 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 RESTful 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.