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.

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
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.