Muddam Akhila
Generative AI Engineer • Hyderabad, Telangana • a***************@gmail.com • +91*******815 • drivetube.ai/•••••
Professional Summary
Generative AI Engineer with 0 years of experience building RAG systems, AI assistants, and cloud-hosted ML applications using LangChain, OpenAI, Azure AI Services, Python and modern web stacks.
Technical Skills
Programming Languages: Python,Java,JavaScript
Web Technologies: REST APIs,HTML,CSS
Frameworks and Libraries: LangChain,OpenAI API,OpenAI Whisper,Natural Language Processing,Embeddings,Retrieval-Augmented Generation RAG,FastAPI,React.js
Databases: SQL,MySQL,PostgreSQL,MongoDB,Vector databases
Cloud and DevOps: Azure AI Services,Docker
Data and Analytics: Machine Learning
Tools and Methodologies: Git,GitHub,Testing & Debugging,API design,Semantic search,Version control,Documentation
Computer Science Fundamentals: Data Structures & Algorithms,Object-Oriented Programming,DBMS,Operating Systems,Computer Networks
Work Experience
ServiceNow
ServiceNow Intern
Sep 2025 – Oct 2025
Interned at ServiceNow, a provider of enterprise IT service management software; supported configuration, testing, and deployment readiness for ITSM automation workflows.
Tech Stack: ServiceNow, ITSM, Python, Testing & Debugging, Documentation
- Configured and tested 4+ enterprise ITSM workflows in ServiceNow, improving automation reliability and reducing manual ticket routing during incident handling.
- Debugged workflow issues across 10+ scenarios using root-cause analysis and validation, identifying and resolving configuration errors prior to release.
- Authored comprehensive test cases and defect reports to track issues and verify fixes across workflow states, supporting deployment readiness.
- Collaborated with cross-functional engineers to validate user-acceptance test scenarios and prepare release documentation for workflow updates.
- Developed reusable test artifacts and automated test setups using Python scripting to speed verification cycles and reduce manual setup time.
- Documented test plans, defect resolutions, and post-deployment validation steps to form deployment checklists and reduce rollback risk.
Edunet Foundation – AICTE
AI Azure Intern
Jun 2025 – Jul 2025
Interned at Edunet Foundation (AICTE) to develop cloud-based AI applications and scalable data-processing workflows using Azure AI Services for educational data.
Tech Stack: Python, Azure AI Services, REST APIs, Docker, Testing & Debugging
- Developed 3 AI applications using Python and Azure AI Services with REST APIs to automate data processing and model inference workflows.
- Designed scalable data-processing pipelines capable of handling 10,000+ records, implementing batching and asynchronous request patterns for throughput.
- Exposed model inference and preprocessing as RESTful endpoints for integration with frontend and downstream services.
- Performed iterative testing and debugging to improve application stability, implementing validation, exception handling, and retry logic.
- Containerized components with Docker to standardize development environments and simplify deployment workflows.
- Authored API documentation and technical runbooks to support handover, onboarding, and future maintenance of AI services.
Projects
AI Document Search System
Tools Used: Python, FastAPI, React.js, LangChain, OpenAI API, Vector databases, REST APIs
- Built a full-stack RAG-based document search platform to query and retrieve information from PDFs using embeddings and semantic search.
- Designed document processing pipeline for PDF parsing, chunking, embedding generation, and index creation in a vector store for efficient retrieval.
- Developed REST APIs and integrated frontend-backend communication to support low-latency semantic queries and result rendering in React.
Custom AI Agent with Long-Term Memory
Tools Used: Python, LangChain, OpenAI API, Whisper, Embeddings, Vector databases
- Developed a voice- and text-capable AI assistant using LangChain and OpenAI, integrating Whisper for speech-to-text input.
- Implemented persistent memory storage and retrieval via vector embeddings to maintain personalized conversational context across sessions.
- Applied OOP principles, exception handling, and testing practices to build maintainable agent components and ensure reliability.
Education
Malla Reddy Engineering College for Women, Hyderabad
B.Tech in Artificial Intelligence and Machine Learning • Hyderabad, Telangana • 2023 – 2026
Coursework: Data Structures & Algorithms, Object-Oriented Programming, DBMS, Operating Systems, Computer Networks
Alphores Junior College, Jagtial
Intermediate (MPC) • Jagtial • 2022
Chandra Grammar High School, Jagtial
SSC • Jagtial • 2020
Certifications
Cisco Certified Python Associate (PCAP)
Microsoft Azure AI Internship Certification
Google Cloud Generative AI Badge
AWS Machine Learning and AI Skills Fest 2026 Badge
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