Lokesh Naidu Desineni

Translated ambiguous business needs into Python backend components and API integration workflows aligned to delivery requirements. Built 5+ LLM/RAG/agentic AI prototypes to assess feasibility and refine solution direction with stakeholder feedback. Designed and delivered 10+ REST APIs using Python and FastAPI, exposing backend functionality and AI capabilities through reusable service interfaces. Engineered RAG pipelines covering document ingestion, preprocessing, chunking, embeddings, semantic retrieval, and LLM orchestration; developed agentic workflows using function calling, tool execution, and orchestration for multistep interactions with enterprise tools/APIs. Integrated backend services with enterprise systems and data sources with data transformations, validation logic, and clear API contracts. Investigated integration defects via debugging, log analysis, testing, and root-cause analysis, then implemented fixes to improve reliability and production readiness.

Converted enterprise requirements into applied AI implementations using Python, LLM integrations, and backend services connected to business workflows. Developed an LLM application that combined enterprise data, retrieval components, backend services, and AI-generated responses to make business information accessible through AI-assisted workflows. Built RAG pipelines including document processing, chunking, embedding generation, semantic retrieval, and context assembly. Implemented Python backend services and FastAPI REST endpoints to standardize AI functionality for downstream integration. Prototyped and functionally tested AI workflows by evaluating model behavior, retrieval approaches, and integration requirements. Added structured-output handling, schema validation, response checks, exception handling, and fallback paths to manage inconsistent model outputs and execution failures. Created Python/SQL data preparation and validation workflows for enterprise information used in retrie

Developed backend application components using Python, Java, and SQL to implement business logic and data-access functions for enterprise workflows. Automated repetitive operational processes through application logic and data-processing workflows, reducing manual effort by 30% and improving process consistency. Designed and integrated REST APIs connecting applications, databases, and external enterprise systems for structured data exchange. Implemented SQL- and application-based data workflows for ingestion, transformation, and validation to support consistent downstream delivery. Converted functional requirements into maintainable software components using object-oriented programming. Resolved defects across APIs, data pipelines, and applications through debugging, logging, testing, and root-cause analysis. Supported releases across development, testing, and production by validating behavior and troubleshooting deployment/integration issues.