Open to opportunities

Vivek Ranjan Sahoo

@vivekranjansahoo1

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Software Development Engineer building secure, scalable AI systems and low-latency backend products.

India

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What I'm looking for

I’m looking to build secure, scalable AI-powered platforms—agentic RAG, reliable integrations, and low-latency backends—where strong system design, observability, and iterative delivery matter.

I’m a Software Development Engineer who builds secure, configurable AI capabilities and performance-focused backend systems. At Datwa Labs, I led the architecture and implementation of an AI-powered organizational knowledge system using agentic retrieval pipelines across Jira, Confluence, and GitHub.

I designed and built a multi-tenant control plane with enterprise SSO (Azure Entra ID/SAML), RBAC, tenant-level isolation, and versioned configuration management. I also engineered an asynchronous ingestion architecture (Azure Service Bus) and delivered context-aware query resolution and cross-platform synchronization.

My work includes building an AI-powered UPSC preparation platform with multi-stage prompting, context-aware retrieval, and RAG, achieving 92%+ response accuracy. I’ve also engineered a high-performance vehicle-parts search platform with Typesense for near real-time index freshness and sub-50ms search responses, and I enjoy combining system design with LLM orchestration to ship reliable, scalable products.

Experience

Work history, roles, and key accomplishments

Current

Software Development Engineer

Current

Datwa Labs

May 2025 - Present (1 year 2 months)

Led architecture and implementation of an AI-powered organizational knowledge system integrating Jira, Confluence, and GitHub via agentic retrieval pipelines. Built a multi-tenant control plane with enterprise SSO and RBAC, and delivered RAG-based UPSC preparation plus a Typesense-powered vehicle-parts search platform.

Agentic Retrieval Pipelines Jira Confluence GitHub RBAC Tenant Isolation Azure Service Bus Webhooks AI Agents RAG Semantic Validation Guardrails Typesense Faceted Navigation Typo Tolerant Retrieval

Backend Developer Intern

Squbix Digital

Aug 2024 - Dec 2024 (4 months)

Architected a Staff Task Management System for East Coast Railway, including hierarchical task assignment and bulk XLSX-based task ingestion workflows. Optimized performance using Redis caching and built low-latency real-time updates with SSE and Bloom Filter–based search optimization.

Task Management Hierarchical Task Assignment XLSX Ingestion Redis Server Sent Events (SSE)Bloom Filters Real Time Updates Search Optimization