Mahesh Vaswani is a Software Engineer at Barclays, with a background as a Software Development Engineer at eQ Technologic. He holds a degree in Computer Engineering with Honors in Data Science from Pune Institute of Computer Technology. Mahesh has 2 years of experience, with current projects focusing on enterprise product development using Java Spring Boot and React. He has also built an anomaly detection platform using TensorFlow, Scikit-Learn, and LLaMA-based LLMs, and has experience with Federated Machine Learning and deploying scalable systems on GCP and VMware Cloud Foundry. Mahesh is looking for knowledge sharing with peers and is open to introductions via email.

Full-stack development, Java Spring Boot, React, AI/ML, Large Language Models (LLMs), Federated Machine Learning, anomaly detection, microservices, cloud deployment (GCP, VMware Cloud Foundry), knowledge sharing with peers.

Current projects include developing eQube-TM, an enterprise product using Java Spring Boot and React. At Dell, built DeepTrace AI, an anomaly detection platform using TensorFlow, Scikit-Learn, and LLaMA-based LLMs. Other work involves implementing Federated Machine Learning components and deploying scalable systems on GCP and VMware Cloud Foundry. GitHub projects include FXVista, DeepTrace AI and Federated ML Mental Health Analyzer.