.png){kind=logo}
Likhith Ramesh
Mid-level Full-Stack/Backend Java Developer specializing in IAM and microservices
Connect with Likhith
Likhith already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Full-stack Java developer (~4 years) who built a telecom asset management system end-to-end with React and Spring Boot, and led/participated heavily in migrating it from a monolith to Spring Cloud-based microservices. Experienced with high-volume, data-driven workloads using Kafka (partitioning, batching, resilient consumers) and production observability via centralized logging with ELK and Splunk.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- End-to-end full stack delivery (React + Spring Boot) for asset management platform
- Monolith-to-microservices migration using Spring Cloud (gateway, service registry, config)
- High-throughput event-driven design with Kafka (partitioning, batching, tuned consumers)
- Strong observability practices with centralized logging (ELK, Splunk)
- Scalable React architecture (component scalability, state split between UI and server state)
- API design discipline with layered architecture (controller/service/repository) and Spring Data JPA
- Security implementation using OAuth2 + JWT in microservices context
Like what you see? We'll introduce you to Likhith directly.
Experience
Education
Skills
Languages
Browse Similar
Similar Candidates
Senior Backend Engineer specializing in AWS cloud-native systems and data workflows
Senior Full-Stack Python Engineer specializing in trading and FinTech platforms
Intern Machine Learning Engineer specializing in AI security and anomaly detection
Senior AI/ML Engineer specializing in Computer Vision, NLP, and Generative AI
Intern Software Engineer specializing in cloud, DevOps, and LLM-powered tooling
Manjory saran
Senior Backend & Infrastructure Engineer specializing in cloud-native distributed systems
“LLM infrastructure engineer who built a production-critical real-time personalization and memory retrieval system for a user-facing product, adding <100ms P99 latency while improving relevance ~20–25% and holding SLA through 3x traffic. Experienced designing tiered retrieval backends (Redis + vector store), deploying on Kubernetes with autoscaling/circuit breakers, and running rigorous observability, incident response, and agent evaluation (shadow traffic, A/B tests, regression/replay).”
Interested in Likhith?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Likhith
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent