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shravankumar147/README.md

Hi there 👋

About Me

I am an Applied Data Scientist. My Reserach focus is on Computer Vision, NLP.

Work Experience

  • Developed AI-driven image processing solutions to enhance vehicle presentation, ensuring visually appealing and high-converting images for online listings.
  • Designed and implemented background removal technology, accelerating vehicle listing workflows and reducing time-to-market for dealerships.
  • Built an intelligent auto-scaling and positioning model, ensuring every vehicle is optimally framed regardless of capture conditions.
  • Engineered an AI-based shadow rendering system to create realistic lighting effects, improving the natural integration of vehicles into backgrounds.
  • Developed custom branding solutions, enabling dealerships to overlay logos and showroom visuals, reinforcing brand identity across marketing channels.
  • Implemented AI-powered interior backgrounding to seamlessly process diverse vehicle shots, including interiors and feature-focused images.
  • Designed a multiple-backgrounds feature, allowing vehicles to be showcased in different contexts (main site, portals, marketing) for enhanced audience targeting.
  • Built a background blur model that simulates professional depth-of-field effects, giving standard vehicle images a high-end photography look.

These innovations improved image consistency, accelerated workflows, and enhanced dealership marketing strategies, leading to increased engagement and conversions.

Projects

  1. Face Recognition
  2. Toxic Comment Classification
  3. Ethereum Maretplace - Web3.0

Social Media

GitHub followers Twitter Follow


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  1. PicChronicle PicChronicle Public

    PicChronicle organizes your photos by year, month, and location. It extracts EXIF data and uses reverse geocoding to auto-categorize images, making browsing and archiving memories effortless.

    Python 1