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Dinesh Guguloth
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and GenAI
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About
Full-stack engineer with cloud and GenAI experience who has owned production features end-to-end, including a reporting dashboard optimized from 14s to 5s using query/API refactoring and monitored via AWS CloudWatch. Also productionized an OpenAI-powered chatbot using LangChain with prompt design, guardrails, and evaluation via production logs and user feedback, and has led incremental legacy-to-microservices modernization with parallel run to avoid regressions.
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Key Strengths
- Owned end-to-end delivery of a reporting dashboard (frontend, backend, data, infra)
- Performance optimization: reduced report generation/response time from 14s to 5s
- Production monitoring using AWS CloudWatch (logs/performance)
- API documentation practices using Swagger for cross-team clarity
- Productionized AI chatbot using OpenAI APIs with prompt design and guardrails
- Evaluation approach for AI features using query testing plus production logs and user feedback
- Incremental legacy modernization to microservices with parallel run to reduce migration risk
- Stakeholder management: translated ambiguous reporting-system goals into a prioritized roadmap and shipped outcomes
- Able to context-switch across frontend/backend workstreams and deliver with minimal oversight (Accenture)
- End-to-end ownership of production features (frontend, backend, deployment/ops)
- Built secure auth systems with JWT, Spring Security, RBAC, and encrypted passwords
- Production AWS deployment and operations (Docker on EC2, Nginx reverse proxy, CloudWatch monitoring/alarms)
- Performance-minded backend/data design (indexes, pagination, query optimization, connection pooling, caching, avoiding N+1)
- Reliability patterns for event-driven pipelines (idempotency, retries with backoff, DLQs, backfills)
- Able to ship in ambiguous environments by defining MVP with stakeholders and iterating from feedback
- Improved maintainability via modular React components, custom hooks/service layers, strict TypeScript, and standardized API/error handling
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