Omkar Chaithanya

I’m an AIML undergraduate and agentic AI & cloud computing enthusiast, focused on turning generative AI into real, reliable systems. I combine strong fundamentals in operating systems, networking, Linux systems, and Kubernetes orchestration with hands-on work across Python, Java, and C/C++.

In my internships, I built production-grade, end-to-end AI solutions: at Hindustan Aeronautics Limited (HAL), I drove an Agentic AI-powered RAG chatbot from architecture and model integration through deployment and optimization. I also architected a full-stack Flutter and backend application at MedAILockR Pvt. Ltd., handling responsive UI, server-side logic, and database management with secure cloud deployments. Across other roles, I trained and deployed ML models for classification, built NLP/computer vision pipelines, completed a blockchain internship, and worked on cloud architecture and deployment pipelines on GCP.

My projects reflect my bias toward deployment and impact, from a Real-Time Animal Intrusion Monitoring system using YOLOv8 and low-power IoT pipelines to HELIOS, an autonomous compliance agent integrating Llama 3.3 70B, LangChain, RAG, secure sandboxes, web automation, and satellite telemetry. I’ve also built an agentic scheduling assistant with Pydantic.ai and Qwen in vLLM on AMD MI300X, restored heritage visuals using Stable Diffusion + ControlNet, and developed AwillOS—an agentic neuromorphic AI layer for Android running on Arm Cortex-A without cloud or proprietary NPU lock-in. I’m known for rapid learning, clear communication, leadership, and delivering unique solutions, backed by national-level hackathon experiences and publications.