Headline

Software Engineer @ Accenture | Backend & AI Engineering | Distributed Systems | Node.js • TypeScript | RAG • MCP • Multi-Agent Systems | AWS & GCP | Serving Notice

About

I’m a Software Engineer at Accenture building scalable backend systems, distributed applications, and AI-powered platforms. My work focuses on designing production-grade systems with reliable backend architectures and scalable web applications. I’ve worked across Node.js, TypeScript, React, and Angular, contributing to enterprise platforms and cloud-native applications deployed across AWS and GCP. Recently, I’ve been working on AI engineering and GenAI systems involving RAG pipelines, MCP-based integrations, multi-agent orchestration, and agentic workflows. I’ve built automation systems using GPT-4o and Azure OpenAI that reduced manual document processing time by 90%. My engineering interests and experience include: • Distributed systems, microservices, and event-driven architectures • Backend architecture, scalable APIs, and low-latency systems • Performance optimization, caching, and p95/p99 latency improvements • RAG, MCP, and multi-agent orchestration • Agentic AI workflows and LLM integrations • Real-time systems using GraphQL subscriptions and WebSockets • Performance optimization and scalable data architectures • Cloud-native applications across AWS and GCP Outside work, I build systems at the intersection of fintech, trading, and AI, with a focus on real-time platforms and data-driven applications. I’m particularly interested in backend engineering, distributed systems, AI infrastructure, and next-generation financial technologies. Currently serving my notice period and open to Backend, Full-Stack, and AI Engineering opportunities.

Location

Greater Bengaluru Area

AI stack

codex

cursor

Work experience

Advanced Application Engineering Analyst at Accenture in India, Jul 2024 - Present · 2 yrs 2 mos, Bengaluru, Karnataka, India, Architected a multi-tier enterprise platform using an Angular SPA and cloud-native microservices built with Node.js, Express, and TypeScript, deployed across GCP Cloud Functions and Azure serverless infrastructure. Developed 20+ RESTful APIs for scalable microservices and distributed systems powering Al chat, analytics dashboards, client onboarding, alerts, and audit logging using Inversify dependency injection. Built multi-agent GenAl automation services in Python using GPT-40 and Azure OpenAl to orchestrate NDA workflows, reducing manual processing time by -90%. Implemented Redis-backed single-session enforcement and PBAC authorization services with JWT validation, cutting unauthorized access incidents to near zero. Integrated Azure AD/Entra ID authentication via MSAL with On-Behalf-Of flows and OAuth scope verification. Designed PostgreSQL and Redis data layers with IAM-authenticated connections, connection pooling, TTL-based caching, and automated health checks. Implemented distributed observability for microservices using correlation IDs, Winston logging, circuit breakers, and retry pipelines, improving incident resolution time by 35% in a low-latency production environment. Added unit and integration tests using lest and PyTest, improving deployment confidence and reducing production regressions.

Advanced Application Engineering Analyst at Accenture in India, Jun 2023 - Jul 2023 · 2 mos, Bengaluru, Karnataka, India, Developed full-stack enterprise tools using React, Node.js, MongoDB, and REST APIs. Contributed to Agile Scrum ceremonies , CI/CD pipelines, and automated cloud deployments. Optimized backend services and database queries, improving operational efficiency by -30%.

Education

Bachelor of Technology - BTech, Information Technology, IIEST, Shibpur

Public links

github: https://github.com/RamaITB044