About Me

Ekanatha Reddy Urivakili

Senior Software Engineer · Tech Leader · Product Thinker

MCA graduate with 15+ years of expertise in full-stack web application development, RESTful API design, and product engineering. Proven record of leading cross-functional teams and architecting scalable microservices solutions across Fintech, BI/Analytics, Retail, and e-Commerce domains.

Milton Keynes, UKAvailable for opportunitiesMCA
Ekanatha Reddy Urivakili
15+
Years Experience
Full-stack development
5+
Industry Domains
Fintech · Retail · BI · Media
20+
Technologies
Across the entire stack
Global
Team Leadership
Multi-continent delivery

What I Do

Enterprise Architecture

Designed and delivered enterprise-grade solutions on modern stacks: multi-layer, database-driven client-server, microservices, and SaaS-based web platforms across multiple geographies.

Team Leadership

Led software development teams by building mutual trust, setting clear expectations, and facilitating knowledge transfer. Managed cross-functional teams spanning Finance, Product, HR, Marketing, and Sales.

Data & Analytics

Authored and optimised complex SQL queries for actionable graphical representations of market data. Integrated AWS QuickSight to deliver interactive dashboards and real-time analytics across multiple business units.

Quality & Delivery

Strong advocate of Agile/Scrum, TDD, and CI/CD best practices. Participated in SIT and performance testing during feature rollouts, improving release stability and reducing post-release incidents.

Technical Expertise

Backend
ASP.NET CoreC# / .NETPHP 7/8RESTful APIsWeb APIClean ArchitectureCQRS + MediatR
Frontend
ReactTypeScriptNext.jsTailwind CSSZustandReact Query
Data & Cloud
SQL ServerMySQLPostgreSQLSnowflakeAWS RDSAWS QuickSightRedis
Infrastructure
DockerDocker ComposeGitHub ActionsRailwayCI/CDMicroservices
Methodology
Agile / ScrumTDDDDDCode ReviewCross-functional LeadershipMulti-continent Teams
Domains
FintechBI / AnalyticsRetaile-CommerceMediaSaaS Platforms
AI & LLMs
LLM IntegrationRAG PipelinesAgent OrchestrationPrompt EngineeringVector DatabasesEmbeddingsAutonomous WorkflowsOpenAI / Anthropic APIs
AI in Production

AI Agents & LLM-Driven Systems

Building and deploying AI agents in production — LLM-driven systems, agent orchestration, RAG pipelines, and autonomous workflows running in live environments. From architecture design to inference optimisation, I work across the full stack of modern AI engineering.

LLM-Driven Systems

Integrating large language models into product features — structured output, function calling, tool use, and reliable prompt engineering patterns for production reliability.

Agent Orchestration

Designing multi-agent systems with clear task delegation, memory, tool access, and feedback loops. Building autonomous pipelines that plan, act, observe, and recover from failure.

RAG Pipelines

End-to-end Retrieval-Augmented Generation: document ingestion, chunking strategies, embedding models, vector stores, semantic search, re-ranking, and grounded generation.

Autonomous Workflows

Deploying autonomous agents that run continuously in production — scheduled triggers, event-driven execution, human-in-the-loop checkpoints, and observability tooling.

Want to work together?

Open to consulting, fractional engineering leadership, and select full-time roles.