As a Lead Software Engineer at Morgan Stanley, I bring specialized expertise in the Investment Banking domain, focusing on Wealth Management. I work with a diverse technology stack, including Spring Boot, Microservices, Docker, Angular, DB2, and MongoDB, and actively apply Agile Scrum methodologies, serving as the Scrum Master for my squad.In my role, I have led RTB efforts as the Development SPOC, ensuring robust product stability. To stay current with industry advancements, I completed certifications in Docker, Microservices, and Generative AI, further deepening my understanding of emerging technologies. Additionally, I directed Observability efforts across the department, enhancing system insights and performance monitoring. I helped my department in onboarding tools like Prometheus, FluentBit, Loki, OpenTelemetry and Grafana. I also have working knowledge of Generative AI (Completion APIs, Embeddings, Prompt Engineering) which I gathered during one internal MS Hackathon. I am agile practitionist and gained expertise in Agile Scrum Methodology while acting as a Scrum Master for my Squad; taking care of Backlog Refinement, Grooming, Planning, Demo, and Retrospectives. Previously, I was a part of the Development team of Deutsche Bank Operations International(Deutsche Bank Group). I was working on Big Data Solutions. On a day-to-day basis, I was working on technologies like Apache Spark, SparkSQL, Sqoop, Hadoop MR, Oozie, and flume. I have also got exposure to TIBCO BW and Spring Integration which is used for external orchestration. I started my career with Cybage where-in I was working as a Software Engineer in the Development team working for Google Inc. I have worked on Google's Proposal Finance Module - Dart Sales Manager (Google DSM) and have hands-on experience in Core Java, Advanced Java, and different frameworks.
Listed skills include Core Java, C, Java, Servlets, and 23 others.
