KANWALPREET SINGH

Developed a real-time multi-camera video analytics system achieving ONVIF, OpenCV, and YOLO 24 FPS. Enhanced system performance by implementing a free-text search using Elasticsearch, resulting in a 300% increase. Created a comprehensive automation pipeline for web (chrome) and mobile (android) platforms using Selenium and Appium. Designed and implemented a dynamic pipeline responsible for collecting, updating, and calculating tax information. Developed and maintained numerous backend REST APIs using Flask and Django, seamlesslyly integrating with Snowflake and MySQL database.

Successfully migrated the project to utilize GraphQL APIs from REST, resulting in a notable response times and enhanced flexibility in data retrieval. Developed and integrated a marketing and ERP solution, optimizing technical processes with a 20% reduction in API response times, and achieving a 30% decrease in data storage requirements. Engineered an NLP (Natural Language Processing) powered algorithm to comprehend and process search queries, improving search accuracy.

Successfully migrated and restructured the database from MongoDB to PostgreSQL, delivering a remarkable 4500% performance boost, significantly improving data retrieval and system efficiency.

Engineered a sophisticated LSTM (Long Short-Term Memory) model with multiple layers and feature-rich analysis capabilities, achieving an exceptional 95% accuracy rate. Designed and implemented a cutting-edge NLP and Regex algorithm capable of extracting from resumes more than 25 distinct data points.