Dallas, Texas, United States
- Software Engineering Lead working at Financial Cloud & Marquee Data Business in Goldman Sachs with 10+ years of global leadership and technological expertise. - Proven success in driving product initiatives and implementing cutting-edge technologies, including Python, Java, AWS, Elasticsearch, and microservices architecture. - Specialized in scalable software systems design using best practices, optimizing performance, and reducing time-to-market. - Collaborative leader fostering a culture of cross-functional expertise, with a strong focus on strategic collaboration with clients and product managers. - Expertise in SRE practices, Prometheus monitoring, and scalable architecture design, ensuring high system reliability and efficiency. - Demonstrated success in hiring and mentoring top-tier talent, leading to increased team productivity and a positive work culture. - Master's in software systems (CGPA: 9.5/10) and bachelor's in computer science (Honors with Distinction). Let's connect! Open to discussions on leadership, technology, and global collaboration.
- Worked with R&D team to build state of the art systems for the next generation Causeway products using Java, Spring Boot, Kafka, CouchDb (NoSQL), AngularJS and Ionic frameworks. - Was part of the mobile team which had the responsibility to deliver end to end mobile solutions for the customer. - Delivered key optimizations to the sync gateway bridge which reduced the data sync latency by 500%. - Created a drag/drop mobile application designer with complex components (such as Camera, GPS, Signature Pad, Gallery). - Created a Webview container which could consume dynamic mobile apps built using the designer and ran them in the physical mobile device (iOS, Android, Windows).
- Worked with Retail (Procurement) team to develop scalable and fast systems for retail platform using Python, Ruby on Rails, Mysql and Hadoop (Bigdata). - Created Anomaly Detector - A key software built in Python to address the issues around data redundancy and anomalies. The software was used by the Data Analytics team to help construct accurate metrics around the procurement data. - Reduced data anomalies by ~70%. - Was involved in a couple of big sales season preparation (Flipkart's Big Billion Days) to handle large scale user requests. - Also worked on Ruby on Rails for developing retail platform APIs.
- Worked in Healthcare Product and Platform (HPP) developing Digital Nerve Center (DiNC) application on Java, Spring Boot, MongoDb and Angular2 frameworks. - Worked extensively to develop scalable REST services secured by OAuth2 security using Spring Security Framework through LDAP Authentication.