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AI Engineer with less than a year in LLM-driven and Multi-modal AI Systems
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AI & Machine Learning Engineer specialising in LLM-driven and multi-modal AI systems, with hands-on experience in prompt engineering, real-time inference pipelines, and scalable AI architectures. Proven ability to build intelligent applications that combine user inputs, model reasoning, and API orchestration, with growing expertise in Generative AI and production-grade ML systems.
QIS college of engineering and technology
B.Tech · Computer Science (AI & ML)
August 1, 2022 – June 30, 2026
Avniya Cloud Solutions.
AI Developer Intern
January 1, 2026 – Present
Hyderābād, Telangana, India
Google Cloud Virtual Internship
Google Cloud Virtual Internship
May 1, 2025 – July 1, 2025
India
Background Magic Studio - AI Image Editor (GenAI Project)
June 18, 2026 – Present
Developed a prompt-based AI image editing system using LLM APIs Built a multi-modal pipeline combining user prompts + image inputs Integrated Gemini API and in-browser ML models for real-time editing Optimized system for low-latency performance and improved UX.
AI-Based Voice Assistant (NLP + LLM Concepts)
June 18, 2026 – Present
Built a voice assistant using Natural Language Processing and command parsing Designed system for intent recognition and task execution workflows Applied multi-threading for real-time response handling
Smart Restaurant Rating (Computer Vision + DL)
June 18, 2026 – Present
Built a real-time facial emotion detection system Built a real-time video processing pipeline for continuous facial emotion inference Used deep learning for emotion classification and behavioural insights
Privacy-Preserving Facial Recognition System
June 18, 2026 – Present
Designed ML system using secure data processing (privacy-preserving approach) Applied encryption-aware ML concepts for sensitive data handling Implemented secure feature extraction pipelines to prevent exposure of raw biometric data Designed system architecture for privacy-aware ML inference using encrypted representation
Machine Learning Using Python
Udemy
January 1, 2025 – Present
Introduction to Data Analytics in Google Cloud
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse range of personal projects (image editing, voice assistant, emotion detection, privacy-preserving facial recognition) showcases a broad interest and proactive learning in various AI domains. This diversity, coupled with internship experience, suggests adaptability and a strong drive for continuous learning, which are positive indicators for cultural fit in an innovative AI team. The target role of AI Engineer aligns well with the candidate's demonstrated project work and skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted AI systems. The focus on optimizing performance and user experience suggests a practical, results-oriented approach. The internship experience at Avniya Cloud Solutions further demonstrates an ability to contribute to real-world AI development.