santosh kumar

CEO

Gurugram, Haryana, India11 yrs experience

Key Highlights

Expert in building scalable, AI-enabled applications.
Strong background in microservices and cloud technologies.
Proven track record in delivering complex enterprise solutions.

Stackforce AI infers this person is a Backend-heavy Fullstack developer with expertise in SaaS and AI-driven solutions.

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Skills

Core Skills

JavaMicroservicesBig Data

Other Skills

KafkaAWSMongoDBApache SparkLangChainLangGraphApache Spark StreamingAWS LambdaSystems DesignSolution ArchitectureCore JavaSpring MVCHibernateMavenJSP

About

I am a team lead at Sapient, where I design and develop modern, scalable applications by combining strong backend engineering with the latest advancements in AI. My expertise in Java, Kafka, Microservices, Cloud technologies, and distributed systems enables me to build solutions that are both high-performing and resilient. Throughout my career, I have worked on complex enterprise and telecom-grade platforms that demand precision, reliability, and innovation. At Sapient, I collaborate closely with talented teams to deliver software that aligns with business goals while staying adaptable to changing industry landscapes. As a Java + AI Developer, I aim to create intelligent systems that go beyond traditional engineering—leveraging AI/ML to automate workflows, enhance user experiences, and unlock new capabilities for businesses. My focus remains on continuous learning, adopting best practices, and crafting solutions that stand strong in real-world, large-scale environments.

Experience

11 yrs

Total Experience

2 yrs 2 mos

Average Tenure

Current Experience

Publicis sapient

Team Lead

Jul 2024 – Mar 2026 · 1 yr 8 mos · Gurugram, Haryana, India · Hybrid

Designed and delivered a cloud-native, AI-enabled Asset Management System using Java 21, microservices, Kafka, Apache Spark, AWS, MongoDB, Python, LangChain, and LangGraph to manage the complete asset lifecycle at enterprise scale.
Architected domain-driven microservices with Spring Boot and Java 21, leveraging modern concurrency for high-throughput processing. Built an event-driven architecture with Apache Kafka to stream asset lifecycle events, ensuring ordering, consistency, and real-time responsiveness across services.
Implemented Apache Spark Structured Streaming and batch pipelines for real-time valuation, compliance monitoring, fraud detection, and historical analytics. Designed scalable MongoDB data models for asset metadata, valuation history, and audit trails.
Integrated LLM-powered intelligence using LangChain and LangGraph, enabling natural-language asset queries, automated compliance summaries, and AI-assisted decision workflows with human-in-the-loop controls.
Deployed and operated the platform on AWS (EKS, MSK, S3, Lambda) with CI/CD and infrastructure-as-code, ensuring scalability, resilience, and observability. Played a key role in architecture ownership, performance optimization, and mentoring, delivering a highly scalable, real-time, and intelligent asset management platform.

JavaMicroservicesKafkaAWSMongoDBApache Spark+2