About me

Hello! I'm Prithvi, a burgeoning Artificial Intelligence professional currently pursuing my M.S. in Artificial Intelligence at San Jose State University. My academic journey in Computer Science began at Anna University in Chennai, where I honed my foundational skills and developed a keen interest in AI and Machine Learning.

Over the years, I've built a robust technical toolkit that includes programming in Python and PySpark, handling big data with technologies like Snowflake and AWS, and developing applications using HTML, CSS, and JavaScript. My experience as a Senior Software Engineer at Tiger Analytics allowed me to significantly improve operational efficiencies for Fortune 500 clients by leveraging strategic data warehouse design and effective ETL processes. My projects, like developing AI-powered chatbots at Yellow.ai and working on health-tech innovations during my undergraduate studies, reflect my passion for using technology to solve complex problems and improve human lives.

My career is driven by my curiosity about the endless possibilities of AI and my ambition to be at the forefront of technological innovation. Whether it's enhancing business processes or contributing to groundbreaking research in AI, I strive to combine my technical expertise with a strategic approach to foster significant advancements.

I invite you to explore my portfolio to see the projects that have shaped my journey and the milestones I have achieved along the way. Let's connect and create the future of technology together!

What i'm doing

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    Machine Learning

    Designing and implementing AI algorithms to analyze and interpret complex data for practical applications.

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    Data Engineering

    Optimizing data flow and storage across multiple platforms to support advanced analytics and AI capabilities.

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    Chatbot Innovation

    Developing intelligent chatbots that leverage natural language processing to enhance user interaction.

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    Cloud Analytics

    Deploying and managing scalable cloud solutions to drive data-driven decision-making and operational efficiency.

Projects

  • Daniel lewis

    3D Object Detection using LIDAR and Camera

    Developed an integrated detection system using LiDAR and camera data, leveraging YOLOv5 and DBSCAN clustering for high-precision object localization and 3D bounding box generation, validated on the KITTI dataset for robust real-world application.

  • Jessica miller

    Detection of Thoracic Lung Diseases Using Chest Radiographs

    Engineered a Deep CNN using MobileNet and transfer learning, with 86% accuracy in identifying 16 pre-defined thoracic lung diseases from Chest X-ray images. Also integrated LIME algorithm to explain 95% of model predictions.

  • Emily evans

    Speaking System for Mute Individuals Using Hand Gestures

    CEngineered a battery-powered smart speaking system, utilizing hand gestures with motion and flex sensors. Attained 90% accuracy in conveying messages with Raspberry Pi for data processing and system operation.

Certificates

  • Customer Service
    Professional (Zendesk)


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  • Career Essentials in
    Cybersecurity (Microsoft)


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  • FC0U61 Cert Prep 1
    (linkedin)


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  • FC0U61 Cert Prep 2
    (linkedin)


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  • FC0U61 Cert Prep 3
    (linkedin)


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  • Version Controlling
    (Microsoft)


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  • Python Programming
    for Beginners (UoM)


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  • Web Designing for
    Beginners (UoM)


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Resume


Professional Experience

  1. Senior Software Engineer - Tiger Analytics

    Jul 2021 - Dec 2023

    Significantly improved operational efficiencies for Fortune 500 clients by leveraging strategic data warehouse design and effective ETL processes.

Education

  1. San Jose State University - M.S. Artificial Intelligence

    Jan 2024 - Dec 2025

    Relevant Coursework: Artificial Intelligence and Data Engineering, Machine Learning, Math Foundations for Decision and Data Sciences,Graph Technique in AI, Data Mining, Deep Learning, Natural Language Processing

Project Experience

  1. 3D Object Detection Using LIDAR and Camera

    2024 — Present

    Developed an integrated detection system using LiDAR and camera data, leveraging YOLOv5 and DBSCAN clustering for high-precision object localization and 3D bounding box generation, validated on the KITTI dataset for robust real-world application. 3D Object Detection - LIDAR

  2. Detection of Thoracic Lung Diseases Using Chest Radiographs

    2023 — 2024

    Engineered a Deep CNN using MobileNet and transfer learning, with 86% accuracy in identifying 16 pre-defined thoracic lung diseases from Chest X-ray images. Also integrated LIME algorithm to explain 95% of model predictions.ChexNet

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