Headline

AI & ML Enthusiast | Intern at Prodigy InfoTech | LLM Systems | Computer Vision | RAG | Azure AI

About

I am an AI Engineer focused on building applied, end-to-end AI systems using Large Language Models, Computer Vision, and practical AI tooling. Currently, I am developing NOVA, an offline-first AI companion system powered by local LLMs (Ollama), designed to function without internet connectivity while enabling online automation, real-time search, and productivity workflows when connected. I have hands-on experience with Computer Vision (YOLO, OCR), Graph-based RAG systems (Neo4j + LLMs), and LLM-based application development using Python and Flask. Additionally, I have gained practical exposure to Azure AI services through an 15 Days Infosys–training program organized by ICT Academy , including Microsoft's AZURE AI Services -Resource Groups, Foundry, model deployment workflows, Playgrounds, and content filtering. My work emphasizes transforming AI models into usable products, not just experiments. I am actively seeking full-time roles in AI Engineering, AI/ML Engineering, Computer Vision, or GenAI, where I can contribute to building scalable, real-world AI solutions while continuing to deepen my cloud and MLOps skills.

Location

Greater Hyderabad Area

Work experience

AI Engineer (Independent Projects) at Freelance, 2024 - Present · 2 yrs 6 mos, • Designing and developing applied AI systems with a focus on real-world usability and end-to-end workflows. • Building NOVA, an offline-first AI companion system using local LLMs (Ollama) with planned integration of automation, vision, and productivity features. • Implemented Graph-based RAG pipelines using Neo4j and LLMs for structured knowledge retrieval and reasoning. • Developed real-time computer vision applications using YOLO and OCR for detection and recognition tasks. • Gained hands-on exposure to Azure AI services through an Infosys–ICT Academy training program, including AI Foundry, model deployment workflows, Playgrounds, and content filtering. • Emphasized modular architecture, clean APIs, and transforming AI models into usable products, not just experiments.

Generative AI Intern at Prodigy InfoTech, Jan 2026 - Feb 2026 · 2 mos, Remote, • Fine-tuned GPT-2 transformer model on a custom dataset for contextual text generation using HuggingFace Transformers. • Implemented text-to-image synthesis using Stable Diffusion (runwayml/stable-diffusion-v1-5) via HuggingFace Diffusers. • Developed a statistical language model for text generation using Markov Chains. • Designed and implemented a pix2pix-inspired Conditional GAN for image-to-image translation. • Built end-to-end generative AI pipelines for NLP and computer vision tasks using PyTorch.

Education

Bachelor of Engineering - BE, Artificial Intelligence, OSGU Hisar