About

Veer Singh is an Application Specialist at Bloomberg LP with over 3 years of relevant experience in software engineering. He has a Master's degree in Computer Science from the University of Massachusetts, Amherst, and a Bachelor's degree in Computer Science from Trinity College, Dublin. Veer has extensive experience developing microservices and frameworks for high-traffic data-ingestion services. He has also worked on architecting and developing OpenCV applications and various visualization and labelling tools for handwriting detection on medical documents, training convolutional neural networks, and data analysis. He is skilled in Python, Java, and Javascript. In his current role at Bloomberg LP, Veer is responsible for ensuring the smooth functioning of applications and systems by troubleshooting and resolving issues. He also works on developing new features and functionalities for the applications. Prior to joining Bloomberg LP, Veer worked as a Software Engineer and Technology Analyst at BNY Mellon. At BNY Mellon, he was involved in the development of microservices and frameworks for load-balancing real-time payments and data ingest. He also worked on creating the interface for BNY’s Fraud Detection suite of products, improving fraud detection accuracy from 74% to 90% on validation data by enhancing data through the use of labelling tools. He collaborated on REST API, authentication, and real‑time push notifications using ElasticSearch and Node.js, and distributed the application over the cloud using Microsoft Azure, integrating payment logging with Kibana. Veer's tech stack includes Software Engineering, Microservices, OpenCV, Javascript, Neural Networks, Python, Java, Web, Elastic Search, Azure, and Swift. He is a highly motivated and skilled professional who is always willing to learn and adapt to new technologies.