Headline

Software Engineer @ LeadSquared | Java, Spring Boot, Kafka | Distributed Systems, Testing & CI/CD

About

Backend Software Engineer specializing in Java, Spring Boot, and event-driven microservices. At LeadSquared, I build and maintain most of the backend for Converse for Service, a real-time omni-channel chat product handling 6M+ events/day and 200K+ messages/day across WhatsApp, SMS, and chatbots. Recent wins: cut a key API's latency from 800ms to 250ms, reduced AI API spend ~40% through caching, and helped lower cloud infrastructure costs 20%. Highlights: - Built an AI chat summarization platform (OpenAI + Redis) processing 10K+ chats/day, cutting API cost ~40% and latency from 800ms to 250ms - Built Kafka to Elasticsearch event-driven pipelines for near-real-time indexing - Added retry & rate-limiting logic to handle concurrent failures and peak load gracefully Core stack: Java, Spring Boot, Spring Cloud, Kafka, Elasticsearch, Redis, PostgreSQL, MySQL, AWS, Docker, Jenkins, GitHub Actions, JUnit, Mockito. 160+ DSA problems solved on LeetCode. Open to backend / Java engineering roles - on-site, hybrid, or remote.

Location

Bengaluru

AI stack

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Work experience

Software Engineer at LeadSquared, Aug 2025 - Present · 1 yr 2 mos, Backend engineer on real-time communication products, building scalable Java 17 / Spring Boot microservices. - Developed a real-time omni-channel chat platform handling 200,000+ messages/day, integrated with CRM for communication via WhatsApp, SMS, chatbots, and third-party bots. - Led backend development for Converse For Service, powering 90% of user-facing features including messaging, user status, chat transfers, and inbox retrieval. - Built Converse, a chat app for sales reps, with monitoring analytics tracking 500+ agents' performance. - Implemented an Elasticsearch multi-search API, improving response time by 30% and reducing network round trips. - Designed APIs for agent-to-agent and automated system-to-customer communication, processing 100K+ messages/day with sub-second latency. - Optimized performance by resolving concurrency issues, identifying bottlenecks, and reducing error log volume by 20%. Stack: Java 17, Spring Boot, Kafka, Elasticsearch, Redis, PostgreSQL, MySQL, AWS, Docker.

Software Engineer at LeadSquared, Feb 2025 - Jul 2025 · 6 mos

Java Trainee at Datafoundry, Jul 2024 - Dec 2024 · 6 mos, Bengaluru, Java Developer Intern working on AI-driven Healthcare and Pharmacovigilance SaaS platforms. - Developed and enhanced backend functionalities for AI-driven Healthcare and Pharmacovigilance SaaS platforms. - Contributed to Literature Monitoring, Drug Safety, and mSafety Case Management modules involving EHR / clinical data workflows. - Delivered backend optimizations, security improvements, and HSTS implementation. Stack: Java, Spring Boot, SQL.

Java Software Engineer at Datafoundry, Jun 2024 - Dec 2024 · 7 mos, Created REST APIs for 5+ analytics dashboards and automation tools using Java and Spring Boot across Literature Monitoring, Drug Safety, and Case Management modules, serving 1,000+ users. Tuned SQL queries to accelerate data retrieval 40% and closed 10+ UAT/production issues; hardened backend security (HSTS). Collaborated in Agile teams using Git and Maven, following clean-code and modular design practices.

Education

B.tech, Information Technology, Chandigarh Group Of Colleges

Diploma of Education, Computer Science, R&D Polytechnic College, Ludhiana