Mukesh Dontaraboina

About

Full-stack engineer with financial services experience (Lincoln Financial) who owned a customer-facing financial portal end-to-end using TypeScript/React and Node/Express. Has hands-on microservices and RabbitMQ event-driven workflows, addressing scale issues like retries/duplicates with idempotency and traceable logging, and built an internal real-time ops/support dashboard to improve monitoring and incident response.

Experience

Education

Key Strengths

• End-to-end ownership of customer-facing financial portal (requirements through rollout)
• Rapid iteration via small, usable releases and phased rollouts
• Strong focus on UX clarity for complex data loading (loading states, fallback messaging)
• Scalable full-stack architecture (React service layer; Node/Express route-controller-service separation)
• Microservices reliability at scale (idempotency, retry policies, message IDs, traceable logging)
• Event-driven notification workflow reducing latency and preventing duplicate notifications
• Built and drove adoption of internal ops/support monitoring dashboard with real-time visibility and alerts
• Prioritization using user impact and risk (performance fixes before new features based on feedback)
• Took an LLM-powered financial insights engine from prototype (LangChain POC) to production
• Structured approach to productionization: success criteria, stabilized I/O, fail-safes, testability
• Improved recommendation accuracy by ~34% (per stated results)
• Built evaluation methodology using anonymized real portfolio scenarios and advisor-trusted baselines
• Reduced hallucinations via traceability/grounding checks against retrieved knowledge-base sources
• Designed for scalability with Kubernetes and real-time monitoring via OpenTelemetry metrics/dashboards
• Modularized LLM pipeline into retrieval, prompt, and evaluation layers for maintainability
• Real-time incident mitigation using safe fallbacks (cached data) and retrieval-layer isolation
• Effective technical communication: hands-on demos covering architecture, APIs, and failure modes
• Partnered with sales/customer teams to address trust/accuracy concerns and drive adoption