Achintya Kumar Email & Phone Number

Mountain View, Ca, Us

Chesterfield, Missouri, Us

Home Security System using Wireless Network Sensing (WNS)• Developed a genetic algorithm that improved accuracy by 15% compared to the previous state-of-the-art algorithm.• Utilized unsupervised learning techniques, particularly clustering, to explore relationships between Radio Frequency (RF) data and physical states, enhancing feature engineering by addressing noise patterns in Wi-Fi data.• Implemented an A/B testing framework to evaluate various iterations of candidate algorithms for gathering user feedback.Real Time Location Services (RTLS) using WNS• Led a team of 3 engineers in developing a genetic algorithm to track Bluetooth asset tags within a network of Bluetooth devices, achieving sub-meter accuracy with a 200 ms update rate.• Developed a Python framework for processing asset tag data, facilitating RTLS product deployment and algorithm development; collaborated with cross-functional teams, including hardware engineers and system architects.• Presented and demoed RTLS products to potential partners, effectively communicating technical features and benefits.Big Data Pipeline• Led a team of 11 engineers in designing, developing, and deploying a commercial data pipeline for collecting, cleaning, and storing RF data from various wireless communication devices using Python, SQL, Apache Kafka, and InfluxDB.

Chesterfield, Missouri, Us

Human Presence Detection using WNS• Developed a novel method for correlating physical phenomena with radio frequency data by converting time series sensor data into RGB images; trained a CNN model, achieving 84% accuracy in presence detection in controlled environments.• Identified additional use cases for the technology, including an entry/exit detector built with a Random Forest model achieving 87% accuracy, showcased to potential partners to demonstrate the technology's diverse applications.

Master Of Science (Ms), Computer Science

Bachelor Of Technology (Btech), Computer Science