Vikrant P. Gavnang
Software Engineer @Bank of America
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WORK HISTORY
Software Engineer @Bank of America
IN
Passionate about driving efficiency and automation within the mortgage domain by enabling seamless integration between business processes and technology platforms.Leading end-to-end enablement initiatives for mortgage-related instrument offerings, connecting internal banking systems with external platforms to streamline workflows and improve business agility.Designed, developed, and delivered scalable API-based solutions for external connectors and consumers, ensuring secure, reliable, and high-performance system interoperability.Automated multiple manual and time-intensive processes, resulting in significant gains in operational efficiency, reduced maintenance overhead, and faster execution of scheduled jobs.Played a key role in business enablement and technology integration, translating complex business requirements into robust, production-ready technical solutions.Collaborating closely with cross-functional teams (product, operations, and engineering) to implement automation and optimization strategies that minimize manual effort and improve overall productivity.Technologies & Skills:Python, Java, REST APIs, API Development, Pub/Sub Messaging, System Design, Quartz Scheduler, JavaScript, HTML, CSS
EDUCATION
D.G.Ruparel
Bachelor of Science
DG Ruparel College of Arts, Science and Commerce
Bachelor of Science, BscIT
ABOUT VIKRANT P. GAVNANG
As a Software Engineer at Bank of America, I specialize in building low-latency trading systems and risk automation platforms. With 4+ years of experience in Java and Spring Boot, I’ve delivered critical modules for trade lifecycle processing, leading to a 25% improvement in throughput.I’m passionate about architecting resilient systems, solving complex financial tech challenges, and leveraging DevOps to streamline deployments.Outside work, I contribute to open-source trading libraries and mentor junior developers in algorithmic design->\"Designed and implemented a microservice that processed over 2 million trades per month, reducing average processing time by 30%.”-> “Integrated risk-check module using FIX protocol, helping reduce exception rates by 15%.”-> “Led migration to a Kubernetes-based infrastructure, improving deployment speed and scalability.
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