Nellore, Andhra Pradesh, India
Backend Software Engineer with 2 years of experience building distributed systems and high-performance APIs across .NET and Java. Currently at Dell Technologies (via Mastech Digital), where I've shipped a Rules Validation Engine handling 10K+ RPS, cut Elasticsearch latency by 60% through a Redis caching layer, led a PCF-to-Kubernetes cloud migration, and helped drive a 60% reduction in Sev-1 incidents via Splunk observability pipelines. My technical focus: ASP.NET Core · Microservices · Redis · Elasticsearch · Kubernetes · API Gateway · CI/CD · Java Spring Boot I'm a Top 17% LeetCode problem-solver and GCP Certified — always strengthening both system design thinking and coding fundamentals. Open to Backend / SDE roles at product-focused companies. Let's connect.
Client: Dell Technologies | .NET | Kubernetes | Cloud Migration ▸ Architected a Rules Validation Framework in ASP.NET Core enforcing field-level constraints on all incoming JSON API payloads — mandatory checks, format validation, dependency mapping — reducing validation defects by 35%. ▸ Built a C# parser to auto-extract business rules from Excel sheets and index them into Elasticsearch, enabling zero-code-change dynamic rule deployment and eliminating manual configuration overhead. ▸ Led PCF-to-Kubernetes (KOB) cloud migration: authored YAML deployment scripts, resolved environment blockers, and maintained deployment SLAs throughout the transition with minimal downtime. ▸ Optimised reverse-proxy infrastructure (NGINX, GoRouter, Kestrel) for request routing and load balancing across microservices, improving throughput under peak traffic. Stack: .NET, C#, LINQ, Elasticsearch, Kubernetes, NGINX, Kestrel, YAML, CI/CD, PL/SQL, Burp Suite
Client: Dell Technologies | Caching Architecture | API Gateway | Observability ▸ Implemented Redis distributed caching for the Rules Validation Engine with index-triggered invalidation and TTL policies, cutting rule-fetch latency by 60% and reducing Elasticsearch hits to controlled refresh cycles only. ▸ Built a microservices API Gateway with dynamic route-finding and token-based authentication, centralising auth and routing for 5+ downstream services. ▸ Developed a cross-region API validation application that automated consistency checks across distributed databases, detecting discrepancies across 1,000+ response attributes and replacing manual comparisons entirely. ▸ Automated Splunk log extraction and transformation (malformed → valid XML) via C# scripting, improving observability pipeline reliability and reducing log-processing failures. ▸ Designed Splunk dashboards and alerting rules for 5xx error pattern detection, contributing to a 60% reduction in Severity-1 production incidents. Stack: C#, .NET, Redis, Elasticsearch, Splunk, GitLab CI/CD, SonarQube, Postman, YAML
▸ Built a full-stack Medical Store Management System using Java EE (JDBC, JSP, Java Beans) with MVC architecture — CRUD operations for medicine/customer records with secure database connectivity. ▸ Developed SQL-backed social features (follower tracking, post-like retrieval) simulating Instagram backend logic, demonstrating relational database design and query optimisation. Stack: Java, Spring MVC, JDBC, JSP, SQL Server