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Naga Bhavya Keerthi Kornaganti

Python Backend Developer • k********@gmail.com • 913****086 • drivetube.ai/•••••

Professional Summary

AI Backend Engineer with 10 months of experience designing and shipping Python backend services for enterprise AI solutions. Proficient building RESTful APIs using FastAPI and implementing asynchronous workflows with AsyncIO to support scalable LLM-driven chat and automation. Experienced integrating OpenAI and Azure OpenAI, implementing prompt templates and Retrieval-Augmented-Generation (RAG) pipelines with LangChain and vector databases to deliver context-aware conversational responses. Skilled tuning PostgreSQL schemas and SQL for fast context retrieval and integrating Azure Blob Storage and Azure Functions for document ingestion pipelines. Implemented secure API access using JWT and OAuth 2.0 and enabled Azure AD single-sign-on for enterprise deployments. Delivered unit and integration tests with PyTest and maintained source control and CI validations in GitHub to support reliable releases.

Technical Skills

Programming Language: Python,C#,JavaScript
Backend Technologies: FastAPI,ASP.NET MVC,Entity Framework
Databases: PostgreSQL
Cloud Platforms: Azure Blob Storage,Azure Functions,Azure Active Directory,Microsoft Azure
Version Control & Development Tools: GitHub
Testing & QA: PyTest
API & Integrations: JSON
Generative AI & LLMs: LangChain,OpenAI
Vector Databases & RAG: Vector Databases
Security Tools & Platforms: RBAC
Identity & Access Management (IAM): JWT,OAuth 2.0
Project Management & Collaboration: Embeddings

Work Experience

Charter Communications
Backend Developer
Worked on backend services for enterprise AI/chatbot functionality within a large telecommunications company; built APIs and data pipelines to support LLM-driven conversational features.
Tech Stack: Python, FastAPI, Azure OpenAI, LangChain, Vector databases, AsyncIO, PyTest, PostgreSQL, Azure Blob Storage, Azure Functions, JWT, OAuth 2.0, Azure Active Directory, GitHub
  • Designed and implemented RESTful APIs using FastAPI and Python to expose AI-driven endpoints and formalized API contracts with OpenAPI specifications.
  • Integrated OpenAI and Azure OpenAI APIs to orchestrate LLM calls and manage prompt templates for conversational flows.
  • Built Retrieval-Augmented Generation pipelines with LangChain and vector databases to retrieve embeddings and supply contextual documents to the LLM.
  • Established asynchronous background processing with AsyncIO and implemented unit and integration tests using PyTest for background inference and ingestion workflows.
  • Optimized PostgreSQL schemas and tuned SQL queries to reduce context-retrieval latency for RAG lookups.
  • Orchestrated document ingestion and preprocessing using Azure Blob Storage and Azure Functions to support scalable index updates for RAG pipelines.
  • Implemented JWT-based authentication and OAuth 2.0 flows to secure API access and session management for enterprise clients.
  • Enabled Azure Active Directory integration and configured GitHub-based CI validations to enforce quality gates for API releases.

Projects

Online Job Portal Application
Tools Used: ASP.NET MVC, C#, Entity Framework, SQL Server, JavaScript, HTML5, CSS3, Bootstrap
  • Designed ASP.NET MVC architecture and implemented C# controllers and models to handle job search, applications, and employer workflows.
  • Built responsive front-end interfaces using JavaScript, HTML5, CSS3 and Bootstrap to improve user experience across devices.
  • Developed Entity Framework data models and SQL Server schemas to store job postings, applications and user profiles.
  • Built server-side CRUD operations and validation in C# to enforce business rules and secure application logic.
  • Implemented client-side form validation and asynchronous requests with JavaScript to reduce perceived latency on key user flows.

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