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Aaryan Ved

@aaryanved

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LLM deployment trainee at Terminal Ballistics Research Laboratory (DRDO), optimizing GGUF models for legacy hardware.

India

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What I'm looking for

I'm seeking an opportunity to apply my skills in AI, machine learning, and software development while continuing to learn and help build innovative, high-impact solutions.

At Terminal Ballistics Research Laboratory (DRDO), I collaborated with researchers to deploy Sarvam AI models in a secure local ecosystem for official organizational use.

I deployed and managed Llama 3, Mistral, and Sarvam LLM repositories using Ollama for local inference. I also optimized GGUF models for resource-constrained legacy hardware.

As a contributor to the skin disease detection system publication, I helped develop a CNN-based system trained on dermatological images. The project used OpenCV preprocessing and Flask for real-time diagnosis.

On my driver’s drowsiness detection project, I developed a real-time system using OpenCV for facial feature extraction and integrated it with Raspberry Pi for continuous monitoring.

Experience

Work history, roles, and key accomplishments

LLM Deployment and Optimization Trainee

Terminal Ballistics Research Laboratory (DRDO)

Jan 2026 - Jul 2026 (6 months)

Collaborated with researchers to deploy Sarvam AI models within a secure local ecosystem for official organizational use. Deployed and managed Llama3, Mistral, and Sarvam LLM repositories using Ollama for local inference, and optimized GGUF models for efficient inference on resource-constrained legacy hardware.