Arka Bandyopadhyay

Architected and developed a scalable notification engine using Java and Spring Boot, integrating Twilio API to boost user engagement by 20% across push, SMS, email, and WhatsApp channels.

Improved microservice observability by implementing Micrometer traceability, reducing average resolution time for performance bottlenecks by 15%.

Championed engineering best practices through code reviews and static analysis, achieving a 10% reduction in code defects and enhancing CI/CD hygiene.

Augmented Solr-based search engine with advanced fuzzy search and auto-suggestion functionalities, improving search accuracy and user experience.

Led development of a high-throughput B2B eCommerce data pipeline using Kafka Streams, processing 24k events/sec and supporting a 30% increase in transaction volume.

Optimized Power BI report performance by 97%, reducing load times from 30 seconds to under 1 second through query optimization and data partitioning.

Directed the migration of services from Java 11 to Java 21, implementing secure coding practices and ensuring GDPR compliance to mitigate security risks.

Mentored junior and mid-level engineers, fostering a culture of continuous learning and increasing team productivity and knowledge sharing.

Designed and implemented a low-latency watch history API, optimizing content recommendation latency to 10ms and increasing click-through rates by 12%.

Built a contextual recommendation system for TV shows and web series, handling 100k transactions per second (TPS) and boosting content consumption by 15%.

Developed a custom Bloom filter, reducing database/Redis misses by 10k hits/day, which improved system performance and cut infrastructure costs by 8%.

Integrated Wohhoo API for an Amazon voucher-based referral system, enhancing user engagement and driving customer acquisition, increasing referral sign-ups by 10%.

Developed a lead distribution system with a rule engine for CRM, improving lead management efficiency and sales effectiveness, leading to a 5% increase in sales conversion rates.

Designed Gen 2 VIA (AI-driven Virtual Interaction Analyst) with RabbitMQ for scalable audio processing, improving customer service efficiency by 7% through real-time interaction analysis.

Implemented a multi-tenant database system for organizational audio processing, ensuring robust data isolation, security, and compliance.

Developed build-release automation tools using ActiveMQ and Apache Camel, streamlining software delivery and reducing manual effort by 20%.

Managed stock house transaction settlement via a distributed messaging system, ensuring data integrity, regulatory compliance, and mitigating financial risks.

Developed an interoperability product for healthcare applications, transforming XML to JSON to enable seamless data exchange and improve data accessibility.

Integrated Redis caching into Spring Boot APIs, reducing response times and improving application scalability by 25%.

Built a visual workflow engine UI using React and JointJS, providing a user-friendly interface for designing and managing complex workflows.

Implemented Stripe payment gateway with Google App Engine for an online jewelry store, ensuring scalable, secure, and reliable transaction processing.

Designed and developed an ERP-based payroll management system, automating salary calculation, attendance, and compliance for tea garden workers.

Implemented secure and scalable payroll processing business logic using EJB (Enterprise JavaBeans).

Built dynamic web interfaces with JSP and Servlets, enabling user-friendly interaction for HR and administrative staff.

Deployed and managed the application on Apache Tomcat, ensuring high availability and performance.

Integrated employee attendance, overtime, and leave data into payroll calculations, reducing manual errors by ~70%.