Ing. Yasir Ahmed Pirkani

• Development of a proof of concept for real time customer interaction to boost sales. • Development and training of deep learning models on customer interactions to gather customer insights. • Using natural language processing (NLP) for speech-to-text conversion, sentiment analysis, keyword extraction and customer characterization to empathize with customers. • Working closely with psychologists, sales experts and UX designers to design a novel customer interaction module.

• Prepared data for object detection, classification and tracking for Advanced Driver Assist System (ADAS). • Worked on radar object classification using deep learning. • Developed and verified algorithm for Camera-Radar fusion system. Labeling of JSON maps that are used for environment detection and mapping using Labrador label job client and Radar Classifier Tool (RCT). • Compared the labeled JSON map files using Python.

Classification of human affect (emotional) state from physiological signals using machine learning algorithms

Performed software and hardware testing of incoming PCBs used in Navilas-577s Navigated Retina Laser using embedded C and C. Performed stress test of laser equipment before dispatching it to customers.

Worked in Radio Frequency department for 6 weeks and performed extensive drive-test to monitor 3G and 4G KPIs of the cellular network.  Worked in SmartCare department for 6 weeks and performed analysis of call and internet data of users to improve overall customer experience to boost sales and customer feedback.

Working and performing bulk activities on tabs

Neural Networks and Pattern Recognition, Computer Networks, Digital Communication, Applied Information Theory, Channel Coding.

Artificial Intelligence, Data Structures (C++), Object Oriented Programming (C++), Numerical Methods Mobile Communication Systems, Electronic and Integrated Systems, Digital Signal Processing, Microprocessor Systems.