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Vishesh Sharma
Senior Full-Stack Java Developer specializing in cloud-native microservices and real-time web apps
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About
Full-stack engineer/product owner who built and scaled a customer-facing job application portal (Skillbridge) using TypeScript/React and Spring Boot/MongoDB, optimizing search performance with indexing, caching (Redis), and payload/lazy-loading improvements. Also built an internal AI-driven analytics dashboard for Salesforce operations using OpenAI sentiment analysis, achieving 70% reduction in manual analysis and driving adoption through demos and iterative feedback.
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Key Strengths
- Owned and shipped an end-to-end customer-facing job portal (requirements through deployment)
- Rapid MVP delivery with incremental releases and modular components/APIs
- Performance optimization at scale (MongoDB indexing, pagination, payload reduction, lazy loading)
- Designed scalable full-stack architecture (TypeScript/React + Spring Boot + MongoDB + Redis) deployed on AWS with Docker and CI/CD
- Microservices scaling with RabbitMQ (queue partitioning/prioritization, acknowledgements, worker horizontal scaling)
- Production observability and reliability (Prometheus/Grafana, ELK, alerts, circuit breakers, rate limiting)
- Built and drove adoption of an internal AI analytics tool; reduced manual analysis by 70%
- Strong stakeholder alignment in ambiguous environments (value-vs-effort prioritization, weekly demos, dynamic roadmap)
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