Piyush Baldaniya

Assistant Vice President @Citi

Canada

About

I'm a Full Stack Java Developer with 6+ years of experience in building enterprise-grade applications and cloud-native systems. I specialize in Java, Spring Boot, and microservices architectures, and I have extensive experience in event-driven solutions using technologies like Kafka, RabbitMQ, and Apache Pulsar. My expertise spans across real-time data processing, streaming platforms, and scalable backend systems deployed on AWS/Azure. I’m skilled in Docker, Kubernetes, and CI/CD pipelines, ensuring seamless delivery of high-performance, highly available applications. I work with both relational and NoSQL databases (e.g., PostgreSQL, MongoDB) and embrace Agile methodologies to create clean, secure code that solves complex business challenges. If you're looking for a developer who can handle both the backend logic and cloud infrastructure, let's connect!

Experience

  • Assistant Vice President at Citi
    May 2026 - Present · 3 mos

  • Software Developer at CGI
    May 2025 - Apr 2026 · 1 yr

    ● I played a key role in transforming RBC’s incentive compensation system by helping replace outdated tools with a cloud solution that reduced processing time from three days to under 20 minutes. This shift automated complex workflows, driving incredible efficiency across the board. ● I contributed to designing and building seamless data pipelines that integrated compensation data across multiple HR systems, ensuring flawless data flow. This improved the accuracy and reliability of compensation calculations, enabling real-time, data-driven decision-making. ● By leveraging advanced tools, I helped reduce development time by 40%, allowing the team to focus on refining complex logic while maintaining high quality and consistency throughout the system.

  • Software Engineer L2 at atmosol
    Sep 2022 - May 2025 · 2 yrs 9 mos

    ● I contributed to building a CRM web application that enhanced business management by integrating seamlessly with ERP systems, streamlining workflows, and boosting overall operational efficiency. ● By optimizing data handling with strategies like caching and lazy loading, I helped reduce database load by 20%, improving system performance and ensuring faster access to critical data. ● I also integrated Microsoft 365 to automate event tracking, resulting in a 36% improvement in efficiency. Additionally, I developed reporting tools that provided valuable insights into sales performance, customer retention, and revenue, empowering the business to make informed, data-driven decisions.

  • Associate Software Engineer at NeoSOFT Technologies (A CMMi Level 5 Organization)
    Jan 2020 - Sep 2022 · 2 yrs 9 mos

    ● I developed and maintained RESTful APIs for a vehicle renting application, ensuring high code quality with 95% code coverage. These APIs played a crucial role in improving the system’s reliability and efficiency. ● I built microservices for user reminders, enhancing the user experience by integrating a unified notification system that provided both email and push notifications, helping improve customer engagement. ● As part of the RMG (Resource Management Portal) project, I focused on optimizing workforce utilization, contributing to a 23% increase in resource allocation efficiency. This optimization directly impacted the company's ability to better manage and allocate resources. ● Collaborating with cross-functional teams, I helped upgrade and scale the Marketplace web application, tailoring it to meet evolving customer needs and supporting over 10,000 live users, ensuring seamless performance even with growing demand.

  • Machine learning engineer intern at Invisible Fiction
    Jul 2019 - Dec 2019 · 6 mos

    ● Developed an AI solution for pre-planning knee implantation treatment in osteoarthritis, using a CNN model. ● Manually prepared and labeled a dataset of 4000 medical images, employing advanced segmentation techniques. ● Achieved a remarkable 92% accuracy in classifying sequences of 15 images, demonstrating the model's effectiveness in medical surgery planning.