Kishore K Sharma

I am a Lead Full Stack Engineer with 6.5+ years of experience building scalable cloud-native platforms, distributed systems, and production-grade applications across telecom, fintech, govtech, and edtech domains. My core strength is backend engineering with Java, Spring Boot, microservices, and AWS, but I work across the entire delivery pipeline — from schema design and APIs to frontend interfaces and deployment systems. I describe my engineering style with one line: “I ship end-to-end. Schema to surface. No handoffs.” I believe strong engineering comes from ownership, not isolated specialization. The same engineer who designs the service should understand the UI consuming it, the deployment pipeline running it, and the metrics validating it in production. That mindset has shaped how I build systems, mentor teams, and deliver software. Over the years, I have worked on carrier-scale enterprise platforms, CRM modernization systems, loan-processing applications, real-time tutoring infrastructure, and department-scale governance portals. Across every domain, the engineering discipline remains the same: understand the problem deeply, design clear system boundaries, instrument what matters, and deliver measurable outcomes. My backend stack primarily revolves around Java, Spring Boot, Spring Cloud, distributed microservices, REST APIs, authentication systems, caching, resiliency patterns, and performance optimization. I have also built extensively using Node.js and NestJS for modern service architectures. On the frontend side, I work with React, Angular, TypeScript, and React Native to deliver responsive and scalable user experiences. I have hands-on experience with cloud-native infrastructure and DevOps workflows using AWS services like EC2, Lambda, S3, ECR, RDS, CloudWatch, CodeBuild, and CodePipeline, along with Docker, Jenkins, SonarQube, Grafana, ELK Stack, and CI/CD automation. I care deeply about observability, operational visibility, and systems that remain maintainable under scale. One thing that defines my approach is that every system should move a metric. I focus on engineering outcomes — improving performance, reducing operational friction, increasing delivery speed, simplifying developer workflows, or creating better user experiences. If a feature does not create measurable lift, it is incomplete. I am also deeply interested in modern AI-assisted engineering workflows. I actively use tools like GitHub Copilot, Claude, Gemini, Cursor, and agentic development systems to accelerate development, improve productivity, and rethink how software teams build products at scale. Beyond coding, I enjoy mentoring engineers, improving engineering standards, reviewing architectures, and building systems that other developers can scale confidently. I value clarity over complexity, practical execution over theoretical perfection, and shipping over endless planning. Today, my focus areas include distributed systems, platform engineering, cloud-native architecture, AI-powered developer tooling, scalable backend infrastructure, and modern full-stack application design. Backend-deep. Full-stack by delivery. Schema to surface. Service to screen. No handoff costs.