About

Ayush Singhal is a highly skilled Software Engineer with 3.86 years of experience in the field. He is currently working as a Summer Intern at Axis Bank, where he is working on Real Time Sentiment Analysis of Tweets. Ayush has created a real-time streaming data pipeline using Apache Kafka and Twitter streaming API to ingest relevant Twitter data. He has also performed real-time sentiment analysis on the ingested data and visualized it using Elasticsearch and Kibana dashboard. Ayush has extended the functionality of Elasticsearch to develop a Python-based robust, system-wide document searching capability. Ayush has previously worked as a Summer Intern at Nokia, where he worked on a project named L3 Data Collector Analysis. During his two-month internship, Ayush extracted the sequence of Network Call Procedures from a trace and analyzed the common flows associated with it. He also trained the edges of a Graph Data Model, representing the probability of two Network Procedures being called together. Ayush separated faulty logs from the correct ones and pointed out the abnormalities in them, to understand their actual cause. Ayush has also worked as a Summer Research Intern at École Polytechnique de Montréal, where he worked on Real Time Catheter Segmentation. His primary works involved aiming at real-time segmentation of the tip of the catheter while inside a human body, from X-ray images of the body part. Ayush trained a U-Net(CNN) on the X-ray images obtained at 20/sec for segmentation of the catheter, hence identifying its tip. He also proposed to approach with a Recurrent Neural Network (RNN) with the obtained CNN as input for real-time outcomes. Ayush has a Bachelor's degree in Mathematics and Computer Science from the Indian Institute of Technology, Delhi. He is highly skilled in Sentiment Analysis, Elastic Search, Python, Kafka, CNN, RNN, Neural Networks, and is a Research Scientist. Ayush is a highly motivated individual with a passion for learning and growing in his field.