Headline

SDE-2 @ Xpressbees Logistics Pvt. Ltd. | Problem Solving | DSA | Java | Spring Boot | Microservices | SQL | NoSQL | AWS | Kafka | System Design | Scalability | Distributed Systems

About

At Xpressbees as an SDE-2, I focus on designing and optimizing scalable, event-driven architectures to enhance shipment processing efficiency. My contributions include clearing significant shipment backlogs in under 10 minutes and building high-throughput REST APIs to handle over 10,000 concurrent requests per second. Leveraging technologies like Kafka, Spring Cloud, and Amazon SQS, I have enabled the processing of millions of shipment events daily, ensuring reliability and availability during peak traffic periods. I further honed my technical expertise through specialized training in Software Development and Problem Solving at Scaler. My work is driven by a dedication to performance optimization and scalable solutions, ensuring robust and efficient systems for critical logistics operations.

Location

Pune District

AI stack

antigravity

claude

Work experience

Senior Software Development Engineer (SDE2) at Xpressbees (BusyBees Logistics Solutions Pvt. Ltd.), Mar 2025 - Present · 1 yr 5 mos, Pune District, Cleared ~400K shipment backlog in less than 10 mins (~700 events/sec) by redesigning the concurrency model using dedicated thread pool executors, resolving bottlenecks affecting ~6M shipments during peak traffic. Processed tens of millions of shipment events daily, with observed throughput of ~300–400 events/sec and peak handling capacity of ~1K–3K events/sec during high-traffic sale periods. Migrated the Order Service from AWS SQS to a Kafka-driven event architecture, scaling processing to ~1M shipments/day while reducing infrastructure costs from ₹10.2L to ₹7.9L/month. Built Kafka-based high-throughput APIs handling 10K+ concurrent requests/sec Implemented Feign Client and circuit breaker fallbacks, reducing cascading failures and improving availability by ~40%. Implemented automated email alerts for business-critical failures, reducing incident detection time by ~55%. Improved system performance by ~60% using Redis caching and optimized MongoDB access patterns Resolved N+1 query bottlenecks, reducing latency from ~8s to ~500ms through schema optimization and query tuning.

Lead Software Engineer at Persistent Systems, Jul 2022 - Dec 2025 · 3 yrs 6 mos, Pune District, Core Banking & Compliance Services (Clients: IDFC First Bank, Bandhan Bank) - Developed secure banking APIs for identity validation, authentication/authorization, and compliance workflows. - Built a shared common library standardizing DTOs, logging, exception handling, and security across services. - Improved API latency from ~500ms to ~110ms (~78%) using Redis caching and optimized data access patterns. - Reduced boilerplate code by ~40–50%, improving developer productivity and consistency across services.

Project Engineer at Wipro, Sep 2020 - Jun 2022 · 1 yr 10 mos, Pune District, Developed REST APIs for commodity trading systems, improving operational efficiency by ~30%. Reduced response time by ~25% by rewriting complex SQL queries, optimizing joins, and leveraging indexing strategies for efficient data retrieval.

Intern at NDTV, Jun 2018 - Jun 2018 · 1 mo, New Delhi, Delhi, India, Developed approximately 10 RESTful APIs using Java, Spring Boot, and Hibernate for the company's website, UREQA, which offers EPG services and facilitates metadata on TV shows and programs. Collaborated with a team of interns on the front end to integrate user-facing elements with server-side logic.

Education

Specialized in Software Development & Problem Solving, Scaler

Bachelor of Technology, Computer Science and Engineering, Galgotias university

Public links

github: https://github.com/Swaraj16121997