Lakshya Jain

Software Engineer

Bengaluru, Karnataka, India6 yrs 7 mos experience

Key Highlights

Engineered scalable features for 500K+ daily interactions.
Spearheaded AI call summarization, reducing manual effort by 60%.
Improved system availability and performance in high-traffic environments.

Stackforce AI infers this person is a Backend-focused Software Engineer in the SaaS and Fintech industries.

Contact

Skills

Core Skills

Go (programming Language)Apache KafkaKafkaJavaSpring Boot

Other Skills

MongoDBRedisAmazon DynamodbAmazon Web Services (AWS)Amazon S3gRPCMqttDatadogGrafanaDatabase Management System (DBMS)React.jsREST APIsOperating SystemsSQLMicroservices

About

At Zomato as an SDE II, I contribute to engineering scalable features for the OneSupport platform, enhancing customer support operations for 500K+ daily interactions across Eternal businesses. I have also been instrumental in designing dual-leg calling features and implementing near real-time AI call summarization, leveraging Golang, Kafka, MongoDB, and other advanced technologies to optimize processes and improve efficiency. With a Bachelor of Technology in Chemical Engineering from IIT Roorkee, my academic foundation complements my technical expertise in Golang, Java, Spring Boot, and CI/CD practices. My focus remains on developing robust, scalable systems while driving impactful innovation and operational excellence.

Experience

6 yrs 7 mos

Total Experience

1 yr 11 mos

Average Tenure

10 mos

Current Experience

Zomato

SDE II

Aug 2025 – Present · 10 mos · Gurugram, Haryana, India · On-site

◦ Engineered scalable features for Zomato’s OneSupport platform that optimized customer support operations and supported 500K+ daily real-time chat and ticket interactions for end-consumers, merchants and delivery partners across Eternal businesses (Zomato, Blinkit, District, Hyperpure).
◦ Owned the design and scale-up of dual-leg calling and call-logging features across Eternal, improving conversation traceability, reducing follow-ups, and helping agents resolve issues∼30% faster.
◦ Spearheaded the architecture and rollout of a near real-time AI call summarization feature across Eternal businesses, built on Golang microservices with Kafka, MongoDB, Redis, MQTT, and gRPC, reducing manual review effort by 60%+ and thereby accelerating QC insights and customer sentiment analysis.
◦ Optimized high-traffic ticket retrieval endpoints by eliminating N+1 query patterns through query batching and improved data access strategies, reducing p95 latency by 33%.
◦ Integrated ticket creation endpoints with Eternal Form Service to enable structured, form-driven ticket ingestion across businesses, improving traceability and reducing operational handling time by∼20% by converting form responses into actionable tickets for internal teams.
◦ Improved debugging, monitoring and production RCA across Golang microservices using Grafana, Datadog, and PagerDuty, helping reduce MTTR by 25% through proactive alerting, distributed tracing–based root cause isolation, and streamlined PagerDuty escalation workflows.
◦ Streamlined local development and preview testing, reducing debugging and test iteration cycle time by ∼30% and improving engineering productivity.

Go (Programming Language)Apache KafkaMongoDBRedisAmazon DynamodbAmazon Web Services (AWS)+5

Walmart global tech

Software Engineer III

May 2025 – Aug 2025 · 3 mos · Bangalore Urban, Karnataka, India · On-site

Contributed to Walmart’s Atlas cloud-native warehouse management system by supporting testing infrastructure improvements, including pipelines for provisioning short-lived isolated environments, reducing environmental contention, improve integration reliability and lower cloud costs.

Societe generale global solution centre

Software Engineer

Jun 2022 – Apr 2025 · 2 yrs 10 mos · Bengaluru, Karnataka, India · On-site

◦ Led development and enhancement of a core GRC (Governance, Risk Compliance) platform based on IBM OpenPages, ensuring regulatory compliance and enterprise-wide risk visibility while customizing it with SpringBoot microservices, scalable REST APIs and automated batch workflows.
◦ Improved OracleDB performance and scalability by implementing indexing, SQL query tuning, and a read-replica architecture, achieving a 20% reduction in query latency and supporting a∼50% increase in concurrent transactions under high-traffic loads.
◦ Increased system availability and fault tolerance by deploying a Traffic Manager in front of active–passive load balancers, enabling intelligent traffic routing and automated failover to minimize downtime during infrastructure incidents.
◦ Built and deployed CI/CD pipelines using Jenkins, Kubernetes Engine, and Docker Trusted Registry (DTR) for containerized services on Linux K8s clusters and artifacts on Windows VMs, improving deployment reliability and achieving a ∼30% increase in deployment efficiency.
◦ Implemented application performance monitoring using Kibana APM and Elasticsearch, and refined APIs using asynchronous programming, reducing response times by 15%.

Database Management System (DBMS)JavaReact.jsMongoDBREST APIsOperating Systems+7