Tusar Bindhani

Senior Software Engineer

Bengaluru, Karnataka, India5 yrs 10 mos experience

Key Highlights

  • Built AI-powered anomaly detection platform reducing incident resolution time.
  • Processed 500K+ Kafka events/hour with exactly-once delivery guarantees.
  • Improved backend throughput by 35% via JVM tuning and async processing.
Stackforce AI infers this person is a Backend Software Engineer specializing in high-performance systems and AI-driven solutions.

Contact

LinkedIn

Skills

Core Skills

JavaSpring Boot

Other Skills

Apache KafkaGraphQLRedisElasticsearchKubernetesAWS EKSLangChainPineconeResilience4jPostgreSQLDockerJenkinsAWSREST APIsSpring Security

About

Senior Software Engineer with 5+ years of experience designing and scaling high-performance backend systems using Java, Spring Boot, and Microservices architecture. I specialise in event-driven systems powered by Apache Kafka, distributed system design, and cloud-native deployments on AWS and Kubernetes. Recently, I built an AI-powered anomaly detection platform using LLM and RAG pipelines that reduced incident resolution time from 4 hours to 30 minutes. 🔹 Core expertise: • Java, Spring Boot, Spring Security, Spring WebFlux • Event-Driven Architecture using Apache Kafka (500K+ events/hour) • Microservices, DDD, CQRS, Saga & Outbox patterns • REST APIs, GraphQL, gRPC, Swagger/OpenAPI • AWS (EKS, EC2, S3, RDS), Docker, Kubernetes, Helm • Elasticsearch, Redis, PostgreSQL, MongoDB • LLM Integration, RAG Pipelines, LangChain, Pinecone • Observability: Prometheus, Grafana, Jaeger, ELK Stack 🔹 Key achievements: • Processed 500K+ Kafka events/hour with exactly-once delivery guarantees • Reduced API latency to under 100ms across 50M+ Elasticsearch records • Improved backend throughput by 35% via JVM tuning and async processing • Reduced MTTR from 4 hours to 30 minutes using AI-driven root cause analysis 🔹 Domain experience: • Order Management & Supply Chain (Walmart) • Connected Vehicle Telemetry (Panasonic, General Motors via KPIT) • Property Management Platforms (OYO) • Fintech Payment Processing (Paytm) Open to Senior Software Engineer / Staff Engineer roles in backend, distributed systems, and AI/ML infrastructure.

Experience

5 yrs 10 mos
Total Experience
1 yr 5 mos
Average Tenure
2 mos
Current Experience

Wells fargo

Technical Lead

Apr 2026 – Present · 2 mos · Bengaluru, Karnataka, India · On-site

Walmart

Senior Software Engineer

May 2025 – Mar 2026 · 10 mos · Bengalore · Hybrid

  • Designed and developed 8+ Spring Boot microservices for a fault-tolerant order management platform processing millions of daily transactions with 99.9% uptime SLA.
  • Built Kafka-based event streaming architecture processing 500K+ events/hour across multiple microservices using Saga and Outbox patterns for distributed transactions.
  • Developed REST APIs and GraphQL endpoints with Swagger/OpenAPI documentation; integrated API Gateway for routing and rate limiting across 12 services.
  • Built AI-powered failure detection microservice using LLM + RAG pipeline (LangChain, Pinecone), predicting failures 15–20 minutes in advance and reducing downtime by 40%.
  • Implemented Resilience4j Circuit Breaker patterns, optimized Redis caching and Elasticsearch indexing across 50M+ records for sub-100ms response times.
  • Managed Kubernetes deployments on AWS EKS with auto-scaling, rolling updates, and zero-downtime strategies.
  • Implemented distributed observability using ELK Stack, Prometheus, Grafana, and Jaeger — reducing incident detection time to under 5 minutes.
  • Tech: Java · Spring Boot · Apache Kafka · GraphQL · Redis · Elasticsearch · Kubernetes · AWS EKS · LangChain · Pinecone · Resilience4j
JavaSpring BootApache KafkaGraphQLRedisElasticsearch+5

Kpit

Software Engineer

May 2022 – Mar 2025 · 2 yrs 10 mos · India · Hybrid

  • Developed 6 backend microservices to process telemetry data from 200K+ connected vehicles, ingesting 2M+ Kafka events/day with consumer group management.
  • Increased Kafka ingestion throughput by 3× through optimized partition strategy and consumer group scaling.
  • Optimized PostgreSQL queries across 100M+ records, reducing query latency from 2.1 seconds to 320ms.
  • Built Elasticsearch indexing and aggregation pipelines, improving analytics performance by 55%.
  • Containerized services using Docker and deployed via Kubernetes on AWS with CPU/memory-based auto-scaling.
  • Automated CI/CD pipelines using Jenkins, reducing deployment cycle from 45 minutes to 12 minutes.
  • Tech: Java · Spring Boot · Apache Kafka · PostgreSQL · Elasticsearch · Docker · Kubernetes · Jenkins · AWS
JavaSpring BootApache KafkaPostgreSQLElasticsearchDocker+3

Weavings manpower solutions pvt.ltd.

Software Associate

Jun 2019 – Sep 2020 · 1 yr 3 mos · Gurugram, Haryana, India · On-site

  • Developed 4 backend microservices supporting property onboarding workflows across 50,000+ listings.
  • Implemented Kafka-based async event processing with idempotent consumers handling 10K+ daily updates.
  • Built Elasticsearch search APIs over 1M+ property records, improving search performance by 60%.
  • Implemented Redis caching layer, reducing database load and improving API response latency.
  • Tech: Java · Spring Boot · Apache Kafka · Elasticsearch · Redis
JavaSpring BootApache KafkaElasticsearchRedis

Netambit infosource & e-services pvt. ltd.

Software Engineer

Sep 2018 – Sep 2019 · 1 yr · Noida, Uttar Pradesh, India · On-site

  • Developed backend APIs for high-volume payment processing handling 50K+ daily transactions with Razorpay and NPCI gateway integration.
  • Implemented Strategy and Template Method patterns to support multiple payment gateway integrations.
  • Designed idempotent APIs with retry logic and secure token handling for reliable transaction processing.
  • Tech: Java · Spring Boot · REST APIs · Jenkins · Payment Gateway Integration
JavaSpring BootREST APIsJenkins

Education

SEEMANTA ENGINEERING COLLEGE, JHARPOKHARIA

Bachelor's degree

Jan 2011 – Jan 2015

Tusar Bindhani - Senior Software Engineer | Stackforce