Utilize computer vision for  extracting property features from real estate images, assess data quality,  advise on project capabilities, and implement recommendation engines.  Orchestrated the setup of MySQL database on AWS RDS and devised data  pipelines for tailored recommendations.
* Developed a recommendation engine utilizing collaborative  filtering and content-based algorithms to increase customer retention by 20%.
* Engineered personalized house feeds for users based on their  preferences, search history, and engagement patterns, resulting in a 20%  increase in user interaction with recommended listings.
*Established and optimized MySQL databases for efficient storage,  retrieval, and management of extensive house listing data.
* Direct A/B testingefforts to achieve a targeted 10% increase in conversion rates, aiming for ameasurable impact on user engagement and revenue generation.

At ActiveIQ, contributed to deep learning team to  develop custom kits for vehicles to enable autonomous functionalities, with a  primary focus on commercial vehicles traveling between cities.       
* Developed lane  algorithm utilizing gradient filters, perspective transform, and custom image  segmentation techniques implemented in Pytorch to reduce offset by 30%.
* Achieved a  remarkable 96%-pixel accuracy for the assisted driving mode on Indian roads,  enhancing the vehicle’s capabilities to navigate complex and diverse road  conditions.·         
* Presented  findings to stakeholders, providing detailed reports on model accuracy, false  positive/negative rates, and computational efficiency.        
* Collaborated  with sensor fusion strategies incorporating data from cameras, LiDAR, and  radar sensors to enhance the accuracy by 20% of the perception system.